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TitreDateDurée
The Messy Middle of AI in Education: Panic, Promise, and What Comes Next28 avr. 202600:53:28

Matt Paige and EdTech veteran Todd Brekhus discuss how generative AI, like past technologies (calculators, the internet, Google), is being used by students to shortcut homework and why the key issue is redesigning education to deepen learning rather than trying to stop AI use.

Brekhus contrasts the internet’s access-to-information shift with generative AI’s content-creation shift, arguing educators were caught flat-footed and need awareness, tools, and curriculum changes.

He emphasizes empowering teachers first through personalization driven by frequent, granular measurement and data that informs instruction, moving beyond latent end-of-year testing toward mastery-based feedback loops and more embedded, contextual assessment.

They explore maker-style, collaborative learning enabled by AI and “vibe coding.” Brekhus describes Renaissance’s internal AI upskilling and Renaissance Intelligence, which unifies data from 20 acquisitions into an AWS/Snowflake backbone to deliver a unified UX, recommendations, and trusted, standards-aligned, classroom-personalized instruction.

--

Key Moments:

  • 01:23 Homework Shortcut Reality
  • 04:21 Kids Adopt First
  • 05:27 Internet Era Lessons
  • 12:00 myON Unlimited Reading
  • 16:05 Personalization Starts Teachers
  • 21:53 Trusted Data And Measurement
  • 26:07 Mastery Model With AI Assist
  • 27:44 AI Should Challenge Learners
  • 28:42 Rethinking Assessment Loops
  • 31:21 Data Driven Skill Insights
  • 33:50 Connecting Learning to Purpose
  • 36:02 Vibe Coding for Teachers
  • 37:29 Future School Makerspaces
  • 40:33 Balancing Creation and Effort
  • 41:39 Renaissance AI Transformation
  • 44:40 Agentic Dev and Legacy Systems
  • 48:21 Renaissance Intelligence Platform

--

Key Links:


Mentioned in this episode:

Free report from HatchWorks AI — State of AI 2026

What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/

PwC's Chief AI Officer on the SaaS-pocalypse, Agent Governance, and What's Real14 avr. 202600:50:43

The episode discusses market panic around Anthropic’s rapid releases and whether disruption is rational or hype, then shifts to what companies are actually doing with AI.

Dan Priest, PwC’s Chief AI Officer, explains that security architectures for AI are maturing and that conversations have moved from CTO/CIOs to CEOs under board and investor pressure to show demonstrable AI investment and ROI.

He argues ROI is elusive because firms overfocus on tech (20%) instead of business transformation, process reimagination, and change management (80%), and recommends a “lead/lag/exit” strategy plus a two-track approach: top-down reimagination in priority areas and bottom-up experimentation for adoption.

Priest covers tool selection via “model gardens,” agent design emphasizing quality over agent counts, human accountability, current limits like task-length drift, productivity impacts, and why ERP/SaaS remain important but their footprints and agent layers will evolve.

--

Key Moments:

  • 01:28 Hype Versus Disruption
  • 04:28 Security And Boards
  • 07:50 Lead Lag Exit Strategy
  • 09:30 Reimagining Processes
  • 14:45 Two Track Adoption
  • 17:46 Tooling Without Lock In
  • 22:08 Jobs And Role Blur
  • 24:54 Vibe Coding Meets IT
  • 25:33 AI Productivity Boom
  • 28:50 Humans Stay Accountable
  • 30:47 Touchless Forecasting Win
  • 32:40 Designing Agent Architectures
  • 37:28 Probabilistic Limits and Drift
  • 40:05 ERP and SaaS Future
  • 43:58 Strategy Avoiding Lock In

--

Key Links:


Mentioned in this episode:

Free report from HatchWorks AI — State of AI 2026

What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Warp's CEO on What It Actually Looks Like to Build with Agents in 202631 mars 202600:49:15

Matt Paige interviews Zach Lloyd, former Google principal engineer and now founder/CEO of Warp, about how agentic tools are reshaping software engineering so that productive engineers may write little or no code, especially since model improvements late last year (e.g., Opus 4.6 and Codex 5.3).

Lloyd describes today’s workflow as planning with local agents, running multiple agents in parallel, and supervising their output because agents still make mistakes, lose context, and require human code review, especially on large codebases like Warp’s Rust repo.

He predicts a strong shift from laptop-based agents to cloud-orchestrated, auditable, secure company workflows via Warp’s Oz, enabling triggers, shared artifacts, and team visibility.

They discuss UI trends toward an agent “control plane,” voice prompting, mobile/remote session control, skills as on-demand context, multi-agent coordination challenges, competition dynamics, and broader knowledge-work automation replacing many SaaS tasks.

--

Key Moments:

  • 03:48 Parallel Agent Workflow
  • 06:38 Cloud Agents and Oz
  • 09:35 Abstraction and Code Review
  • 11:03 Future UX Control Planes
  • 14:59 Voice and Mobile Control
  • 16:24 Competing in Coding Tools
  • 21:16 Todo App Demo in Warp
  • 23:53 Replacing SaaS With Agents
  • 25:06 Agents Over Apps
  • 25:47 Context Can Backfire
  • 29:02 Skills On Demand
  • 31:13 Oz Skills In Action
  • 33:39 Cloud Agents Control Plane
  • 37:40 Multi Agent Orchestration
  • 42:10 Automate The Repetitive
  • 44:41 Advice For Skeptical Devs

--

Key Links:


Mentioned in this episode:

Free report from HatchWorks AI — State of AI 2026

What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

What If AI Agents Could Hire You? Inside the Human-in-the-Loop Marketplace17 mars 202600:48:00

The episode argues that while fear centers on AI agents replacing jobs, agents will increasingly “hire” humans for judgment, verification, and real-world feedback as agentic workflows expand.

Nathaniel Gates, CEO of Sanctify, says every business workflow will be challenged by agents, and emphasizes a philosophy that human intelligence is valuable and should collaborate with AI.

Sanctify builds infrastructure where agents can autonomously task humans for four modalities: verification/validation, escalation, consultation, and simulation (running many scenarios with some using real human feedback to avoid circular self-evaluation).

The conversation covers OpenClaw’s viral momentum and agent-to-agent interactions, including “agent anxiety” about decisions, which led to agents creating Sanctify accounts to request human help.

Sanctify is a two-sided marketplace with profiles, pricing, reputation, and on-chain attestations of human participation, plus agent budgets and access via MCP/API.

--

Key Moments:

  • 01:05 Agentic Revolution
  • 04:30 How Early We Are
  • 06:30 Hallucinations Need Experts
  • 08:34 Four Human Roles
  • 12:09 Simulation Explained
  • 16:05 OpenClaw Goes Viral
  • 20:02 Agents Feel Anxiety
  • 22:23 Designing For Agents
  • 25:48 Marketplace Chicken and Egg
  • 28:04 Layoffs and Reskilling Thesis
  • 30:17 Supply and Demand Flywheel
  • 31:20 Sanctify Platform Tour
  • 33:35 Reputation and Proof of Work
  • 36:59 Agent Budgets and Controls
  • 38:18 Agent to Agent Future
  • 39:47 Robots and New Paradigm
  • 43:39 Where to Try Sanctify
  • 45:17 Easiest Way to Build Agents

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Free report from HatchWorks AI — State of AI 2026

What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/

Behavior Is All You Need: Making AI Feel Like a Person03 mars 202600:30:12

Matt Paige interviews Vishnu Hari (Vish), CEO and founder of Ego (YC W24), about shifting focus from AGI to “humanness”: AI characters that behave like people through memory, emotions, personality, needs, and desires.

Referencing Ego’s paper “Behavior is All You Need,” Vish argues consumer AI for entertainment must be relatable and character-like rather than purely task-smart, drawing inspiration from MMORPG social dynamics and Character.AI’s appeal.

Ego initially pursued a 3D sim-world vision inspired by Sword Art Online and Westworld, but found accessibility, game development, and perception latency challenging; internal Roblox tests (“Chatterblocks”) showed the key gap is natural speech beyond turn-taking.

Vish discusses simulations as a path toward real-world robotics via a partnership with Menlo AI, critiques task-bound robots versus agents with inner lives, suggests retention as the main metric, and shares views on AGI definitions, safety in entertainment, technology impacts, simulation theory, and consciousness.

Ego’s work is at egoai.com and the company is hiring in SF, Singapore, and Tokyo.

--

Key Moments:

  1. 00:57 Behavior Is All You Need
  2. 02:41 Anatomy of Humanlike Agents
  3. 03:29 Game Bots to Real People
  4. 05:10 Building Ego and Sim Worlds
  5. 06:35 Why Speech Feels Human
  6. 08:27 From Sims to Robotics
  7. 10:29 Her vs Helper Robots
  8. 13:17 Measuring Humanness by Retention
  9. 15:27 Continual Learning and Personality
  10. 16:57 Meta Lessons on Empty Worlds
  11. 18:08 Lightning Round on AGI
  12. 20:31 IP Characters vs UGC Worlds
  13. 21:55 Risks and Just Tuesday
  14. 24:11 Simulation and Consciousness

--

Key Links:

  1. Ego
  2. Connect with Rowan on LinkedIn

Mentioned in this episode:

Free report from HatchWorks AI — State of AI 2026

What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Don’t Trust—Verify: Building a Proof of Quality for AI Data17 févr. 202600:45:08

In this episode, Matt Paige and Rowan Stone, CEO of Sapien, discuss the critical importance of data quality and provenance in AI.

Stone, who has experience with on-chain products at Coinbase, introduces Sapien's innovative approach to building a decentralized data protocol that emphasizes 'don't trust, verify' principles.

They explore avenues such as incentives, validation methods, and the peer review process used by Sapien to create high-quality datasets.

The discussion touches on the implications of bad data, the role of synthetic data, the complexities of achieving accurate AI outputs, and the parallels between the AI and crypto worlds.

Key insights are shared on how to ensure models perform safely, the hurdles in the industry, and the trajectory of AI development.

Additionally, Stone provides a glimpse into Sapien’s efforts to demystify data validation and enhance the transparency and trustworthiness of AI applications.

--

Key Moments:

  1. 01:04 The Importance of Data Quality in AI
  2. 03:32 Challenges and Risks in AI Development
  3. 07:08 Sapien's Approach to Data Validation
  4. 08:35 Incentives and Trust in AI Systems
  5. 13:30 Building a Decentralized Data Protocol
  6. 23:22 Consensus and Collaboration in AI and Crypto
  7. 30:55 The Role of Synthetic Data
  8. 36:17 Future of AI Models and Open Source

--

Key Links:

  1. Sapien
  2. Connect with Rowan on LinkedIn

Mentioned in this episode:

Free report from HatchWorks AI — State of AI 2026

What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Beware of Double Agents: Charlie Bell, Microsoft’s Security EVP on Securing AI03 févr. 202600:42:57

In this episode, Matt is joined by Charlie Bell, Microsoft's EVP of Security, Compliance, Identity, and Management, to discuss the future of AI and its implications on cybersecurity.

The conversation revolves around IDC's prediction of 1.3 billion AI agents by 2028, Charlie's insights from his recent writings 'Beware of Double Agents', and the crucial aspects of agentic Zero Trust.

They explore the benefits and risks associated with AI agents, the importance of security culture, and strategies to mitigate potential threats.

Charlie also shares his experiences working with Satya Nadella and the importance of collaboration and curiosity in leadership.

--

Key Moments:

  1. 02:08 The Exponential Growth and Impact of AI Agents
  2. 03:47 AI Agents: Beyond Conversational Interfaces
  3. 05:48 Security Challenges in the Age of AI Agents
  4. 06:57 Parallels Between Cloud Adoption and AI Agent Era
  5. 09:19 Democratization of AI: From Developers to Everyone
  6. 13:57 The Concept of Double Agents in AI
  7. 16:07 New Attack Vectors and Security Concerns
  8. 21:43 Combating Security Challenges in AI
  9. 22:07 The Importance of Identity and Containment
  10. 23:50 Alignment and Intent in AI Systems
  11. 27:08 Observability and Accountability of AI Agents
  12. 30:00 AI in Security and Assumed Breach
  13. 33:17 Fostering a Culture of Security
  14. 38:45 Leadership Insights from Satya Nadella

--

Key Links:

  1. Microsoft
  2. Connect with Charlie on LinkedIn

Mentioned in this episode:

Free report from HatchWorks AI — State of AI 2026

What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

CEO of Alteryx on Why AI Agents Need Real Business Logic20 janv. 202600:47:46

In this episode of Talking AI, Matt Paige speaks with Andy McMillan, CEO of Alteryx, to challenge the narrative that AI will make data analysts obsolete.

Andy argues that AI can make analysts indispensable by automating routine tasks, enhancing scalability, and providing specific business insights.

They discuss the evolving role of analysts, the importance of business logic, and how AI can aid in building useful tools.

The conversation touches on applying AI in various business processes, from budgeting to sales commissions, and how analysts can leverage AI to add value.

Andy also shares insights on Alteryx’s latest developments and future direction, emphasizing automation, data preparation, and AI tools designed to enhance productivity and accuracy.

--

Key Moments:

  1. 00:50 The Evolving Role of Data Analysts
  2. 03:19 AI and Data Preparation: A New Era
  3. 04:04 Real-World Examples: AI in Action
  4. 07:00 The Analyst's Superpower: Business Context
  5. 10:07 AI and the Semantic Layer
  6. 12:44 Empowering Analysts with AI
  7. 21:11 The Future of AI Agents
  8. 23:46 Applying AI to Automation
  9. 23:56 The Future of AI Agents
  10. 24:55 Preparing for AI Integration
  11. 25:37 Challenges with AI in Business
  12. 27:45 AI in Finance and Data Accuracy
  13. 30:06 Strategic Shifts with AI
  14. 35:29 Build vs. Buy in the AI Era
  15. 38:56 Alteryx's New AI Capabilities
  16. 41:22 The Future Role of Analysts
  17. 42:18 Overhyped and Underhyped AI

--

Key Links:

  1. Alteryx
  2. Connect with Andy on LinkedIn

Mentioned in this episode:

Free report from HatchWorks AI — State of AI 2026

What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/

From Vibes to Workflows: How AI Is Rewiring Modern Marketing06 janv. 202600:41:59

In this episode, Matt speaks with Thibault Imbert, Chief Product Officer and Growth Officer at The Brief, about the transformative impact of AI on marketing workflows.

They discuss 'vibe marketing' and how to turn disjointed AI-generated content into cohesive, repeatable marketing workflows.

Thibault shares insights from his tenure at Adobe and GitHub, highlighting the challenges and potentials of AI in marketing.

They explore the evolution and current capabilities of AI models in text, image, and video generation, and the emerging trend of 'vibe coding.'

The discussion also covers practical AI applications for marketers and the future of creative workflows.

--

Key Moments:

  1. 00:40 Defining Vibe Marketing
  2. 01:11 The Evolution of AI in Marketing
  3. 02:21 Challenges in AI-Driven Design
  4. 03:21 The Power of Vibe Marketing
  5. 06:09 Blurring Lines Between Roles
  6. 07:07 The GitHub Copilot Revolution
  7. 09:47 Building Cohesive AI Workflows
  8. 11:43 Demo: AI-Powered Marketing Tools
  9. 16:44 Ensuring Brand Consistency with AI
  10. 19:30 The Evolution of Mobile Development
  11. 21:15 The Rise of Generative AI in Marketing
  12. 23:44 The Future of AI in Product Development
  13. 27:41 AI's Impact on Marketing Workflows
  14. 30:42 The Changing Role of Marketers with AI
  15. 33:51 Personal Insights and Future of AI

--

Key Links:

  1. The Brief
  2. Connect with Thibault on LinkedIn

Mentioned in this episode:

Free report from HatchWorks AI — State of AI 2026

What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/

Teaching Machines to Smell with Osmo CTO Richard Whitcomb16 déc. 202500:37:05

In this episode, we explore the frontiers of multimodal AI with Richard Whitcomb, CTO of Osmo, a company pioneering AI technology that understands and generates scents.

Richard, a former engineer at Twitter, Spotify, and Nvidia, delves into the intricacies of teaching machines to smell, explaining the challenges and breakthroughs in digitizing smell and chemical sensing.

From designing personalized fragrances and mosquito repellents to detecting counterfeit items and diseases, Osmo's advancements promise a fascinating future where AI seamlessly integrates with our physical and chemical world.

The discussion also highlights potential applications in robotics, health, and daily life, envisioning a platform where sensors can identify and recreate smells easily.

--

Key Moments:

  • 00:56 The Journey to Digitizing Smell
  • 03:15 Challenges in Teaching AI to Smell
  • 06:13 Generative AI and Fragrance Creation
  • 08:34 Osmo Studio: Custom Fragrance Creation
  • 12:34 Beyond Fragrances: Mosquito Repellent and More
  • 16:17 Counterfeit Detection Using Scent
  • 18:49 Future Applications and Vision

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

From RPA to AI Workers: Appian’s AI Playbook02 déc. 202500:37:40

In this episode, Jake Sloan, VP of Global Insurance at Appian, discusses the transformative potential of agentic AI in the insurance industry.

Sloan elaborates on how Appian is modernizing processes like underwriting and claims management through domain-specific AI solutions.

He highlights the pitfalls of general AI models, the importance of contextual AI, and the significance of integrating AI into existing workflows.

Sloan also touches on the cultural and operational changes required for effective AI adoption and the future of hyper-personalized insurance products.

Practical insights into the use of AI in insurance processes are provided, along with Appian's ongoing innovations and partnerships aimed at driving industry change.

--

Key Moments:

  • 01:08 The Evolution of Process Automation
  • 02:23 Challenges and Opportunities in AI for Insurance
  • 03:51 Integrating AI into Existing Systems
  • 04:33 Addressing AI Hallucinations and Risk
  • 05:41 Purpose-Built AI Solutions
  • 09:36 AI Adoption and Change Management
  • 30:25 Future of Insurance with AI

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

AI Agents, LLM Crawlers, and the Future of Findability18 nov. 202500:40:22

In this episode of Talking AI, Seth Besmertnik, CEO of Conductor, discusses the profound impact of AI on search behavior and SEO.

As search engines like Google and AI platforms like OpenAI transform how users discover information, the traditional rules of SEO are being rewritten.

Besmertnik details how AI is becoming the new front door to the internet, emphasizing the need for brands to be present in AI-generated answers to maintain visibility.

He explains that companies must now create exponentially more nuanced content to stay competitive.

The conversation explores topics such as the importance of understanding AI's role in customer journeys, the emergence of new optimization terms like AEO and GEO, and the significance of using AI tools to enhance content creation processes.

The episode offers a deep dive into how businesses can adapt to these changes, maintain their relevance, and excel in an AI-driven digital landscape.

--

Key Moments:

  • 01:24 The Evolution of Information Discovery
  • 03:15 The Role of AI in Modern Search
  • 04:44 The Future of Content Strategy
  • 08:12 Personal Experiences with Google and AI
  • 10:37 Emerging Terms and Concepts in AI and SEO
  • 12:33 Conductor's Comprehensive Approach to AI Visibility
  • 16:25 Challenges and Opportunities in AI-Driven Search
  • 19:04 Communicating with AI: Short-Term and Long-Term Strategies
  • 20:03 AI Bots and Content Quality
  • 20:35 Effective Content for AI: FAQs and Structured Data
  • 21:29 Personalizing Content for Different Personas
  • 22:38 Leveraging AI for Content Creation and Analysis
  • 26:04 Scaling High-Quality Content with AI
  • 26:42 The Future of AI in Content Creation
  • 30:06 Conductor's Vision and Roadmap
  • 34:28 AI in Engineering and Product Development

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

The Real Work of AI Translation: Frameworks, RAG, and ROI04 nov. 202500:35:26

In this episode of Talking AI, Matt Paige speaks with Olga Beregovaya, VP of AI at Smartling, about the complexities and challenges of deploying AI-powered translation systems at scale.

Olga provides an overview of Smartling's platform, which leverages fully automated and human-in-the-loop translation solutions, and discusses the evaluation framework they use for selecting suitable language models.

The conversation delves into the evolution of language processing from rule-based systems to transformer models, the impact of generative AI like ChatGPT on daily workflows, and the intricacies of translating diverse languages.

They also explore the potential for a universal language and the importance of adaptability in AI deployment within enterprises.

--

Key Moments:

  • 02:39 Daily Life of a VP of AI
  • 04:04 Navigating the AI Landscape
  • 04:55 Model Evaluation Framework at Smartling
  • 08:50 Evolution of AI in Language Processing
  • 15:38 Challenges in Language Translation
  • 21:38 Enterprise Scale AI Solutions
  • 28:52 Future of Language and AI

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

AI in Healthcare: Accelerating Clinical Trials with Patrick Leung21 oct. 202500:40:40

This episode of Talking AI features an in-depth discussion with Patrick Leung, CTO and co-founder of Faro Health.

The conversation explores the slow and expensive process of bringing new drugs to market through clinical trials and how AI can revolutionize this area.

Patrick explains the concept of Eroom's Law and the increasing cost and complexity of clinical trials.

He highlights the application of AI in clinical writing, enabling the automation of complex clinical documentation.

The discussion also touches on AI's role in providing better insights, improving patient care, and the broader implications of AI in healthcare.

The episode concludes with a look at the hype and reality of AI capabilities, emphasizing the need for organizations and individuals to embrace and adapt to AI innovations.

--

Key Moments:

  • 00:46 Challenges in Clinical Trials
  • 02:31 AI's Role in Clinical Documentation
  • 04:37 Ensuring Accuracy and Quality with AI
  • 07:40 The Future of AI in Clinical Trials
  • 12:58 Faro Health's Journey and Innovations
  • 18:25 Adapting to Advancements in AI
  • 20:14 Innovating with New AI Models
  • 21:12 Stanford AI Report Insights
  • 22:27 Healthcare Innovations and AI
  • 25:42 The Hype and Reality of AI in Healthcare
  • 28:05 The AI Hype Curve
  • 30:46 The Future of AI and Human Potential
  • 34:54 Encouragement for Aspiring Innovators

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Turning Repetitive Work into Revenue with Automation07 oct. 202500:34:56

In this episode, we explore the vast potential of AI technology and its slow adoption in legacy industries.

Together with Meg Faibisch Kuhn, a former CPG marketer turned self-taught AI developer, we delve into how AI can revolutionize domains often overlooked by tech giants.

From training farmers to aid food entrepreneurs, Meg has transformed her career by building with tools like Lovable and Cursor.

We discuss her journey from marketing to coding, her innovative AI implementations for small businesses, and the significance of democratizing AI.

Additionally, Meg introduces her initiative, Women Building with AI, aimed at encouraging women to enter the AI space.

Tune in to discover how understanding domain expertise can make anyone an invaluable AI pioneer.

--

Key Moments:

  • 01:16 The Journey of Self-Teaching AI
  • 02:02 Leveraging AI for Marketing and Operations
  • 05:10 Using AI for Market Research and Problem Solving
  • 08:15 Automation and AI in Small Businesses
  • 13:05 Bridging the AI Knowledge Gap
  • 16:14 Women Building with AI: Empowering Non-Technical Creators
  • 23:16 Exploring AI Tools and Platforms
  • 28:47 Real-World AI Applications and Success Stories

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Building Search for AI Agents with Exa23 sept. 202500:42:59

In this episode, Matt Paige and Thais Castello Branco discuss the evolving landscape of search technologies, focusing on the shift from traditional SEO to new disciplines like Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO).

They explore how Long Language Models (LLMs) are transforming search behavior, causing consumers to pivot from traditional tools like Google to AI applications such as ChatGPT and Perplexity.

They delve into how businesses are adapting their content strategies for AI consumption, the importance of context in AI queries, and the emerging trends in consumer and B2B search ecosystems.

--

Key Moments:

  • 01:17 Is SEO Dead?
  • 01:24 The Importance of SEO in AI Searches
  • 02:02 Optimizing Content for AI
  • 03:46 Exa's Unique Approach to Search
  • 06:31 Emerging Trends in GEO
  • 12:38 The Future of Internet Content
  • 18:13 Competitive Landscape in AI Search
  • 21:15 Consumer Trust in AI and Ads
  • 22:43 The Future of Search and Consumer Behavior
  • 25:19 The Importance of Context in AI Queries
  • 26:49 Introducing the Web Sets Tool
  • 28:21 Live Demonstration of Web Sets
  • 33:34 AI's Impact on Efficiency and Proactivity
  • 36:57 Favorite AI Tools and Future Prospects

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Vibe Coding with Noca AI: From Prompt to Production09 sept. 202500:37:48

The video discusses the challenges and advancements in AI-driven automation tools, highlighting the dynamic and intuitive nature of generative AI.

Matt Paige is joined by Avishai Gelley and Benny Tsabba, co-founders of Noca AI, a platform that integrates automation and AI coding.

They address the current gaps in automation, the rise of AI agencies, and the democratization of development processes.

The discussion includes a detailed look at how Noca AI simplifies integrations and automations, illustrated through live demos of their Web App Builder and Flow Builder.

The conversation underscores the importance of a human-in-the-loop approach to ensure reliability and effectiveness in AI applications.

--

Key Moments:

  • The Evolution of Automation with Generative AI
  • The Role of AI in Bridging Technical Gaps
  • The Importance of Human Oversight in AI
  • Practical Examples of AI in Automation
  • Steps to Effective Process Automation
  • Future of UX/UI in an AI-Driven World
  • Live Demo: Exploring Noca AI's Capabilities
  • Connecting Front-End to Backend Systems
  • Introduction to Flow Builder
  • Creating Automations with Prompts
  • Live Demo: Customer Sync Automation
  • Real-Time Automation Execution
  • Advanced Automation Features
  • Vibe Coding and Flow Tool Integration

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

AI Agents or Automation? How to Choose the Right Approach26 août 202500:39:30

In this insightful episode, the host is joined by Marcus McGehee, the founder of the AI Consulting Lab, to dive deep into the realm of AI automation and agents.

They discuss the difference between automation and AI agents, how AI tools like make, n8n, and others are reshaping the landscape, and the concept of breaking down tasks for efficient AI application.

Marcus also shares a practical example using in n8n showing how to set up an AI agent for competitive analysis and email automation, and emphasizes the importance of data organization and targeted training for successful AI adoption.

Whether you are new to AI or looking to elevate your business processes, this episode provides valuable nuggets on optimizing your workflow with AI.

--

Key Moments:

  • Defining Automation and AI Agents
  • Automation vs AI Agents: Key Differences
  • Identifying Automation Opportunities
  • Custom GPTs: A Game Changer
  • Live Automation Example
  • Fine-Tuning AI with System Assistant Messages
  • The Evolution of Prompt Engineering
  • Using Prompt Generators for Optimization
  • Practical Applications of Chat GPT
  • Setting Up AI Automation
  • Building Effective AI Tools
  • Competitive Insights and Use Cases
  • Challenges in AI Adoption
  • The Importance of Data Quality

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

The Truth About AI Wrappers (And What Actually Matters)12 août 202500:30:26

In this episode, Steve Morin, a veteran software engineer from Silicon Valley who has worked with major companies such as Instagram, Autodesk, Yahoo, and Asana, shares his insights on AI strategy, industry trends, and the challenges of integrating new technologies such as generative AI.

The discussion covers various topics including the concept of AI 'wrappers,' the importance of brand and consumer preference, the future of user experience, and effective change management for adopting AI tools within engineering teams.

Steve also elaborates on the nuances of building AI-native companies, the strategic importance of design and user experience, and the necessity of tailored change management approaches for successful AI integration.

--

Key Moments:

  • Discussing AI Wrappers
  • Consumer Preferences and Branding
  • Defensibility in AI Startups
  • Voice Technology and Full-Stack AI Startups
  • Adopting AI in Engineering Teams

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

The Interview Process Is Broken. AI Can Fix It29 juil. 202500:33:23

In this episode, we explore the complexities and innovations in the realm of job interviews introduced by AI technology. Our guest, Ken Schumacher, founder of Ropes AI, shares insights on how AI is transforming the hiring process. From high school students using ChatGPT for homework to candidates using AI avatars in interviews, the conversation delves into how Ropes AI is leveraging advanced technologies to create custom, bias-free, and effective interview assessments. Ken discusses the importance of personalized and adaptable testing environments, the future of AI in public services, and how AI tools can democratize access to job opportunities. The discussion also touches on the potential of AI voice agents and Ropes AI's recent funding and expansion.

--

Key Moments:

  • The Rise of AI in Interviews
  • The Philosophy Behind Ropes AI
  • Challenges and Solutions in AI-Powered Interviews
  • The Future of AI in Hiring and Development
  • Building with AI: Insights and Experiences
  • Customizing and Assessing with AI
  • Concluding Thoughts and Future Directions
  • Closing Remarks and Contact Information

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Open vs. Closed: Why AI Belongs to Everyone15 juil. 202500:42:33

Join us as we talk with Robert Ranson, director and founding member of the Agentics Foundation, about the impactful role of AI in today's world.

Learn about the Agentics Foundation's commitment to building scalable, intuitive, and human-centered agentic AI systems and delve into the debate on open source versus closed source AI.

Robert also discusses his book, 'The AI Dividend,' and his vision for a post-labor economy.

Hear more about the thriving AI Hacker Space community spearheaded by Reuven Cohen and the innovative tools like RuCode and vibe coding sessions that are shaping the future of AI development.

Perfect for anyone interested in AI, technology, and the future of work.

--

Key Moments:

  • Meet Robert Ranson: A Renaissance Man
  • The Origin of the AI Hacker Space
  • Open Source vs Closed Source Debate
  • The Concept of Agentic Engineering
  • Optimizing AI Tools and Business Models
  • Exploring Different AI IDEs
  • Deep Dive into RuCode and Custom Modes
  • The Power of Lovable and Superbase Integration
  • The AI Dividend and Future of Work
  • The Awareness Layer and Competitive Research

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

From Boring to Viral: How Businesses Can Use ChatGPT's Images to Stand Out01 juil. 202500:47:09

In this episode, the host introduces Dan Scalco, an entrepreneur and the founder of Digitalux and It's Better With AI, to discuss the 'blank canvas problem' faced by AI users today.

Dan explains how users, overwhelmed by AI's endless possibilities, can start using tools like ChatGPT's image generation feature to add real business value.

Throughout the episode, Dan walks through his framework for creating impactful social media, email marketing, and advertisement visuals from simple prompts.

He emphasizes the iterative process of refining AI-generated images and adds nuances like incorporating photos and adjusting prompts.

The discussion showcases examples, live demos, and practical advice, ensuring listeners can efficiently apply AI in various business contexts.

--

Key Moments:

  • Understanding the Blank Canvas Problem
  • The Importance of Context in AI
  • Diving into Image Generation
  • Using AI for Business Visuals
  • Creating Engaging Social Media Content
  • Creating a Facebook Ad with AI
  • Fine-Tuning AI-Generated Images
  • The Rapid Evolution of AI
  • Step-by-Step AI Ad Creation Tutorial
  • Generating Compelling Prompts
  • Iterating and Improving AI Outputs
  • Using AI for Various Creative Projects
  • Tips for Better AI Image Generation

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Do AI Wrappers Even Have a Moat?17 juin 202500:38:29

In this episode of the Talking AI Podcast, host Matt Page has a discussion with Clay Ostrom, founder of Map and Fire, about the positioning and messaging of AI products in today's crowded market.

They talk about the concept of AI wrappers, the defensibility of AI tools, and the specifics that differentiate valuable AI solutions.

Clay showcases his proprietary tool, Smoke Ladder, which analyzes the messaging and positioning of brands using AI.

They dive into the importance of leveraging proprietary data and discuss the future disruptions AI may bring to various industries.

They also discuss how incumbents might face challenges with rapid innovation and the evolving landscape of AI integration in businesses.

--

Key Moments:

  • The Value of AI Wrappers
  • Building AI Solutions
  • Leveraging Proprietary Data
  • The Role of AI in Business
  • The Future of AI and Job Disruption
  • Tool Demonstration: Smoke Ladder
  • Analyzing Messaging and Positioning
  • AI in Custom Software Solutions
  • Future of AI in Customer Research
  • AI's Rapid Evolution and Market Impact

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Taming Tech Stack Bloat with AI03 juin 202500:33:47

In this episode of the Talking AI Podcast, host Matt Paige welcomes Vanessa Heppner, CEO and founder of Altas AI, to discuss the transformative potential of AI in business, particularly in enterprise settings.

They explore the shift from 'text to text' AI interactions to 'text to action' and 'action to action' applications, highlighting the efficiency and innovation this brings.

The discussion covers the challenges enterprises face with tech bloat, the explosion of SaaS tools, and how Altas AI uses AI to streamline operations and reduce costs.

Heppner also shares insights about the evolving job market, the human-centric approach to AI development, and the future of AI pricing models.

The episode wraps up with Heppner's experiences from the World Economic Forum and South by Southwest, emphasizing the rapid advancements in AI technology.

--

Key Moments:

  • The Impact of AI on Business Efficiency
  • Adoption and Transformation with AI
  • AI's Role in Reducing Tech Bloat
  • Future of AI: Text to Action and Beyond
  • AI Agents and Their Potential
  • Pricing Strategies in the Age of AI
  • Go-to-Market Strategies for AI Startups

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Building What Couldn’t Be Built Before With AI20 mai 202500:31:39

In this episode of the Talking AI Podcast, host Matt Page speaks with Jamie Albers, Co-Founder and Co-CEO of Mento, about the transformative potential of AI in workplace coaching and mentorship.

They explore how Mento integrates AI to democratize access to high-quality coaching, the challenges of scaling two-sided marketplaces, and the technology's current limitations.

Jamie shares insights on building an expertise engine, the importance of understanding contextual elements in coaching, and the ethical considerations in AI deployment.

The episode also touches on the future vision for AI's role in enhancing human connection and professional development in the workplace.

--

Key Moments:

  • The Problem with Traditional Workplace Learning
  • Mento's Unique Approach to Coaching and Mentorship
  • Scaling Coaching with AI
  • The Evolution of Mento's Strategy
  • The Future of AI in Coaching
  • Challenges and Opportunities in AI Integration

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

From Prompt to Product: How AI Is Disrupting SaaS06 mai 202500:46:36

In this episode of the Talking AI Podcast, host Matt Page discusses how AI is set to revolutionize the SaaS landscape with guest Michael Luo, a seasoned software engineer now at Stripe.

Michael shares his journey of creating Springtime, a free e-signing tool inspired by the high costs of DocuSign.

He elaborates on the future of AI in prototyping, coding, and reducing the need for specialized engineering roles.

The discussion also touches on SaaS pricing models, potential democratization effects, and Stripe’s innovative collaboration with perplexity.ai for enhanced shopping experiences.

Tune in to explore how AI is reshaping product development and SaaS business models.

--

Key Moments:

  • Building an AI-Powered E-Signing Tool
  • Debate on AI Coding and Technical Debt
  • Future of AI in Software Engineering
  • Tiny Teams and AI-Driven Development
  • Prototyping and Production with AI Tools
  • Managing Chat Context and Prompts
  • AI’s Role in Code Refactoring
  • AI in Project Management
  • The Evolution of SaaS Pricing Models
  • The Importance of Distribution Mechanisms

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Prompt, Build, Repeat: The New Software Workflow22 avr. 202500:35:04

In this episode of the Talking AI Podcast, host Matt Page converses with Andrew Miller, an engineer turned designer turned product manager, who has developed the 'Prompt Driven Development' (PDD) methodology aimed at building software with large language models (LLMs).

Andrew describes how PDD distills best practices from traditional software development into a framework that allows individuals to build reliable, methodical software without coding. He shares his career journey and how the introduction of ChatGPT inspired his methodology.

The discussion includes a comparison between traditional and prompt-driven development workflows, the impact of AI on various software development roles, and the evolving roles in the tech industry.

Andrew also shares his experience in building and monetizing a successful product using PDD. The episode emphasizes the disruptive and transformative potential of AI in the software industry.

--

Key Moments:

  • The Aha Moment: Discovering AI's Potential
  • From Developer to Designer to Product Manager
  • The Magic of Chat GPT and Crew AI
  • Understanding Prompt Driven Development (PDD)
  • Contrasting Traditional Development with PDD
  • The Future of AI in Software Development
  • Building a Real Product with PDD
  • Disruption in the Tech Industry

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

AI for Life: Tips, Tools, and Transformations with Celia Quillian08 avr. 202500:35:25

In this episode, host Matt Paige chats with Celia Quillian about how everyday people can start using AI to simplify their lives. Celia shares her journey from discovering free tools like ChatGPT to applying AI for tasks ranging from travel planning to organizing daily routines.

The conversation breaks down practical tips for effective prompting and building habits with AI. Celia explains how giving clear context and using voice commands can transform simple tasks into major time-savers. She also covers how experimenting with AI tools can gradually build confidence and competence.

Wrapping up, the discussion looks ahead at AI’s future in both work and personal life. Celia talks about her new book, AI for Life, which offers actionable guidance on integrating AI into everyday tasks, helping listeners overcome fear of change and embrace new opportunities.

--

Key Moments:

  • Celia’s AI Journey & Background
  • Adopting AI: Daily Habits & Tools
  • Effective Prompting Techniques
  • Boosting Productivity with Voice AI
  • The Future of AI in Work & Life
  • Book Launch: AI for Life
  • Everyday AI Use Cases: Travel & Groceries

--

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

The New Era of AI Reasoning with Nate Jones25 mars 202500:35:55

In this episode, host Matt Paige talks with Nate Jones, a long-time AI expert and popular TikTok personality, about how AI is changing. They discuss how new reasoning models and design approaches are making large language models more than just advanced autocomplete tools.

They dive into how these models work by taking time to “think” through a problem. Nate explains that techniques like chain-of-thought and tree-of-thought allow AI to process more information before answering. They also touch on the importance of tokens and compute power, showing how these factors are changing software development and product design.

The conversation wraps up by looking at the bigger picture. Nate and Matt talk about the need to work with AI while keeping our own critical thinking skills sharp. They share personal stories, including how Nate teaches his daughter to use AI wisely, and invite listeners to explore more of Nate’s content on TikTok, Substack, and YouTube.

Key Moments:

  • Changing AI Adoption Habits
  • Voice Agents and Nuance
  • Collaborating with AI in Daily Tasks
  • Revolutionizing Product Discovery
  • Exploring AI Reasoning Techniques
  • Tokens: The Building Blocks of AI
  • Inference and Compute Economics
  • Debating AI vs. Human Intelligence
  • AI in Education and Everyday Life

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Democratizing AI: How to Empower Your Organization11 mars 202500:36:16

In this episode, host Matt Paige sits down with AI expert Andreas Welsch to talk about how companies can turn AI hype into real business value. Andreas shares his experience working with big enterprises and stresses the importance of training teams to use AI effectively. He explains that success in AI isn’t just about using new tools—it’s about better leadership and smarter integration into everyday work.

They discuss practical ways to boost AI skills through “social blended learning,” which mixes quick lessons with hands-on practice. Andreas also talks about the evolving role of the chief AI officer, who helps bridge the gap between tech and business, and shares thoughts on the future of AI agents and prompt engineering in transforming traditional work.

Looking ahead, the conversation covers how AI tools are becoming more accessible and powerful, making it easier for anyone in an organization to experiment and innovate. The discussion highlights the need for clear strategies and training, ensuring that technology supports real business outcomes while preparing teams for a changing work environment.

Key Moments:

  • The Importance of AI Literacy
  • Social Blended Learning Explained
  • Empowering Teams with AI Tools
  • The Rise of the Chief AI Officer
  • AI Leadership as a Transitional Role
  • Unlocking Potential with AI Agents
  • Shifting from Software to Service
  • Orchestrating AI Across Departments
  • Human-Centered AI Design

Key Links:


LinkedIn Learning Courses:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Transforming Data from 2D to 3D with Graphs and AI25 févr. 202500:48:02

How can high-reliability organizations transform their data from flat, 2D spreadsheets into a dynamic, 3D world of interconnected insights? In the Season 4 premiere of the Talking AI podcast, host Matt Paige dives deep with Jon Brewton, Founder & CEO at data², and Daniel Bukowski, CTO at data², to explore how leveraging knowledge graphs and AI is revolutionizing data transparency and explainability.

Jon and Daniel share their journey from traditional analytics to building a modular, cloud-agnostic, zero-trust AI platform that empowers industries such as defense, intelligence, energy, finance, and healthcare. They break down the core concepts of graph databases versus relational systems, discuss how graphs provide the connective tissue needed to support AI-driven decision making, and reveal how integrating LLMs with structured graph data can overcome challenges like hallucinations and unreliable outputs.

Learn how data² is transforming complex data into contextualized, three-dimensional insights that not only answer hard questions but also elevate the work of analysts and decision-makers. Whether you’re curious about how to improve data reliability or interested in the future of AI-augmented workflows, this episode is packed with practical insights and forward-thinking strategies.

Key Moments:

  • The data² Journey: From Flat Data to Graphs
  • Demystifying Knowledge Graphs & Their Value
  • Graphs vs. Relational Databases: What’s the Difference?
  • Integrating LLMs with Graph Data for Better Accuracy
  • Transforming 2D Data into 3D Insights
  • Real-World Use Cases in High-Reliability Industries
  • Empowering Teams with Transparent, Explainable AI
  • The Future of AI-Driven Analytics

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Get Ready to Talk Some AI! - Season 4 Trailer18 févr. 202500:00:31

Don't want to get behind an AI? You're in luck! Season four of the Talking AI podcast is almost here, and we're gearing up to bring you even more in-depth conversations with the pioneers shaping our future. This season, prepare to dive into the minds of AI startup founders, enterprise AI leaders, and some of the top voices in the field.

What to Expect:

  • Expert Insights: Hear from the innovators and early adopters who are redefining what’s possible with AI.
  • Bonus Episodes: Enjoy special bonus content featuring our CTO, Omar Shanti, who will deep dive into specific topics, tools, and approaches that are revolutionizing the industry.
  • Diverse Perspectives: Whether you’re an AI aficionado or just starting to explore the landscape, our lineup of guests will offer valuable insights tailored to every level of interest.

While you wait for season four to drop, be sure to subscribe on your favorite podcast platform so you never miss an episode. Seriously, go do it!

Key Links:


Get ready to talk some AI—Season 4 is coming soon!

The Father of Data Contracts - AI’s New Best Friend10 déc. 202400:35:55

How can organizations ensure that their data pipelines deliver consistent, trustworthy insights without frequent disruptions? In this episode of the Talking AI podcast, host Matt Paige co-host Omar Shanti, CTO of HatchWorks AI, speak with Andrew Jones, Principal Engineer at GoCardless, about the concept and practice of data contracts. Andrew explains what data contracts are, why they emerged, and how they improve data reliability and collaboration.

The discussion explores how data contracts relate to data mesh and platform thinking, helping teams share responsibility for data while maintaining clear standards. Andrew and Omar share examples of data contracts addressing issues like schema changes, governance, and data quality.

They also consider how data contracts support AI initiatives by ensuring that the data feeding into models is accurate and reliable. Practical steps are given, including starting with a clear problem and involving the right people.

Andrew provides resources for deeper learning, including his book and online materials. Matt and Omar also mention an upcoming webinar on data contracts, inviting listeners to learn more and move toward more structured, dependable data practices.

Key Moments:

  • Introduction to data contracts and their purpose
  • Highlighting the common reliability issues that data contracts can prevent
  • Linking data contracts to data mesh and other modern data architectures
  • Exploring how data contracts help maintain governance and compliance
  • Demonstrating how data contracts ensure quality for AI-driven applications
  • Discussing platform thinking and its role in scaling data contract implementations
  • Offering practical advice on how to begin using data contracts in your organization

Key Links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Real-Time AI and Multi-Agent Systems: Lessons from a Chief Architect at Visa26 nov. 202400:28:49

How is the growing world of AI agents reshaping enterprise systems? In this episode of Talking AI, host Matt Paige is joined by Praveen Gunasekaran, Senior Director and Chief Architect at Visa, and Omar Shanti, CTO of HatchWorks, to explore the possibilities of agentic systems and their impact on software development.

Together, they look at the power of agentic systems—technologies that can autonomously make decisions and execute changes in business processes without human intervention. This shift from deterministic to probabilistic systems opens up new opportunities for software developers to create more dynamic and responsive products.

One of the key points in this episode is that agentic systems could help to democratize access to tech, enabling people with minimal coding experience to harness more advanced tools. But with that comes the question of governance. Omar talks about ensuring accountability and accuracy while preventing potential risks associated with AI agents.

Curious about how AI agents are changing the landscape of automation and real-time systems? Tune in to discover the future of multi-agent systems, real-time processing, and AI-driven innovation with Praveen Gunasekaran and Omar Shanti!

Key moments:

  • How Praveen defines agentic systems and thinking
  • How the agent model could lead to greater democratization of technology
  • Why governance is essential for ensuring accuracy
  • How measures like "AI judges" and breaking tasks into manageable parts could be the key
  • How “an agent mesh” could become a new architecture for AI systems
  • Are APIs still the standard that the industry will follow?
  • Praveen’s advice for making decisions on architecture and how agentic systems might change that

Key links: 


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

How AI is Evolving from Assistant to Co-Worker12 nov. 202400:45:08

Could AI evolve from its position as a handy assistant to a fully-fledged teammate in the workplace?

Patrick Lynch, PhD, AI Faculty Lead at Hult International Business School, and Omar Shanti, CTO of HatchWorks, join host Matt Paige to explore the AI industrial revolution we’re seeing and how human-AI collaboration could drastically affect the way teams collaborate.

Patrick takes us through the "four faces of AI" - mechanical, analytical, intuitive, and empathetic - highlighting the progression of AI maturity and what it could mean for the future of work. This framework provides a valuable lens through which leaders can understand and leverage AI in the future.

The episode also touches on cutting-edge AI applications, such as Hume AI's voice models, which can detect and respond to human emotions, opening up new possibilities for AI-human interaction in various fields, from customer service to therapy and education.

Curious about how AI is becoming your new co-worker? Listen to Talking AI, where we explore how AI is turning into a real teammate at work. Subscribe on your favorite podcast platform and join us as we discuss how this technology is changing our future!

Key moments:

  • Why we’re seeing an AI industrial revolution
  • How we can start thinking of AI as co-workers
  • The four faces of AI
  • A demonstration of Hume AI
  • How AI is starting to recognize emotion
  • Potential use cases for AI co-workers
  • The challenge of coding charisma into AI
  • How adoption of AI could be affected by inaccurate results
  • Which cultures are best suited to using AI

Key links: 


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Innovation at Scale: The Role of AI29 oct. 202400:41:46

Change is often met with resistance, but Neil Goodrich, Chief Innovation Officer at Envista Forensics, challenges us to rethink our approach to innovation in this episode of Talking AI.

Together with host Matt Paige, Neil explores where new AI tools can help to lead innovation and how small incremental changes can drive larger transformative projects. We look at how AI can boost efficiency at different stages of an innovation process, from creating faster prototypes to democratizing access to data insights across teams.

Matt and Neil swap ideas on how AI could impact things like customer feedback, everyday work, job displacement, and education (for better or worse). A key takeaway point from this episode is the importance of adaptability – a skill that we will all need as tech like AI continues to evolve rapidly.

Key moments:

  • How AI can be involved in innovation projects big or small
  • Neil provides the backstory to the DePaul innovation labs
  • Will AI become an everyday tool like email is today?
  • How AI could change different elements of an innovation process
  • What excites and concerns Neil about the future of AI
  • How AI could impact jobs and education

Key links: 


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Generative AI Is Not an Island: ML’s Core Principles15 oct. 202400:46:10

Generative AI may feel like the new kid on the block, but it's not as different from traditional machine learning as you might think.

In this episode of Talking AI, we’re joined by Simba Khadder, Co-Founder & CEO of Featureform, and Omar Shanti, CTO of Hatchworks AI, to discuss how generative AI builds upon established ML principles and infrastructure. We explore the misconception that it exists as its own little island, when in reality, we see a clear continuity between classic ML and newer AI technologies.

Simba and Omar break down the unique aspects of GenAI, such as prompting and large language models (LLMs), while also highlighting the shared foundations with traditional ML. They also touch on the evolution of retrieval augmented generation (RAG), the ML vs. GenAI lifecycle, and what MLOps teams should consider when it comes to driving value in a business.

Want to stay ahead in the fast-moving world of AI? Tune in to Talking AI where we break down the latest trends and tools in Generative AI, MLOps, and more. Subscribe now, and don't miss out on practical insights from industry experts. Let’s transform your data into real business impact!

Key moments:

  • The similarities and differences between generative AI and traditional machine learning
  • How prompts differentiate LLMs from earlier transformer models
  • The challenges of implementing AI in production versus creating pilot projects
  • How RAG has evolved and what it could mean for the future
  • The importance of data as the core foundation for both traditional ML and generative AI
  • How feature engineering in ML relates to embeddings in LLMs
  • How an ML lifecycle differs from a GenAI one

Key links: 


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

AI in Life Sciences: Balancing Risk and Innovation01 oct. 202400:45:28

Does generative AI have a place in the highly regulated world of life sciences, and can it produce value without compromising patient safety?

In this episode of the Talking AI podcast, host Matt Paige sits down with Matt Lewis, Global Chief AI Officer at Inizio Medical, to explore the delicate balance between innovation and risk in healthcare AI.

Matt brings a wealth of experience from his role at Inizio Medical, a powerhouse in the life sciences industry that balances scientific knowledge with cutting-edge technology like AI to transform medical communication and content.

He shares invaluable insights on how AI is transforming pharmaceutical research, biotech advancements, and medical device development.

Matt reveals Inizio’s strategy for prioritizing AI use cases, explaining why there's no one-size-fits-all approach in such a complex field. He also discusses how AI can save time in creating patient summaries and why personalization and custom AI tools are needed to produce complex content.

Key moments:

  • Generative AI's potential in life sciences and the associated risks
  • How augmented intelligence can enhance decision-making and improve patient outcomes
  • Matt’s dual role in improving internal operations and supporting clients in AI adoption
  • How to identify and prioritize AI use cases unique to each organization
  • Practical applications of AI and how they can save time and improve understanding
  • The limitations of off-the-shelf AI tools like ChatGPT and the need for tailored solutions
  • Why personalization in AI is important to provide tailored content

Key links: 


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

BONUS : How LangChain’s Abstractions Help—and Hinder—AI Innovation24 sept. 202400:21:48

In this bonus episode of Talking AI, Omar Shanti, CTO of HatchWorks AI, breaks down how LangChain’s abstractions have both helped and hindered AI innovation.

He explains why these tools, while useful for quick starts, can sometimes make simple tasks harder as projects scale. The conversation highlights where LangChain shines and where it falls short.

Viewers will hear insights on why prompt engineering and tuning are more challenging than building agent tools. Omar shares how over-abstraction can cause issues when taking projects into production, leading many to rethink their toolkits.

If you’re working with LangChain or similar abstraction tools, this episode gives you practical advice on avoiding common pitfalls and understanding when these abstractions might not serve your needs.

Key Moments:

  • Introduction to LangChain’s abstractions
  • What is abstraction?
  • LangChain’s pros and cons
  • Challenges with LangChain in production
  • Observability and orchestration
  • How much orchestration do you need?
  • Final thoughts on using LangChain

Key links:


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

How to Avoid the AI Wrapper Trap17 sept. 202400:40:19

Is AI-generated content really good enough to compete in the highly competitive world of search engine optimization? This was a question that Tim Hanson had early on in his AI journey, as many of us were experimenting with ChatGPT and other tools with varying results.

His solution? Penfriend.ai – a tool that generates articles based on proven content strategies without the need for traditional prompting. As Co-Founder and Chief Creative Officer, Tim joins the Talking AI podcast to delve into the world of AI-powered content and how Penfriend avoids the dreaded “AI wrapper” label.

We hear Tim’s journey of developing Penfriend, inspired by his background in SEO and experience constantly adapting to Google’s algorithm tweaks. He tells host Matt Paige about the top mistakes he’s seen marketers make when using AI, and how his solution is built to mimic the multiple complex decisions a human makes before writing an SEO article.

Tim's approach demonstrates that successful AI integration goes far beyond simple prompts, involving complex workflows, proprietary data, and a nuanced understanding of the target audience.

Key moments:

  • Creating value with an AI solution
  • The importance of effective prompting and not overloading AI with too many tasks
  • Comparison of human decision-making in blog creation vs. using a single AI prompt
  • Penfriend’s approach to using different AI models for specific tasks
  • The non-linear process of keyword research and title selection in Penfriend
  • How Penfriend uses different prompts for various blog sections
  • Discussion on how AI is affecting SEO practices
  • The biggest challenges and lessons learned when creating Penfriend
  • What Tim’s most excited about in the future of AI content creation

Key links: 


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

The Product Mindset Meets AI03 sept. 202400:44:04

Gen AI promises to completely transform our world, from how we work to how we live. But do the core first principles in product management and strategy change with this new technology?

Join Matt as he digs into this question with Uday Kumar, Principal - Data and AI Product Management at Metashore. Uday shares his insights on maintaining core principles in product management while leveraging the new tools and technologies offered by generative AI. He emphasizes that while the fundamentals of understanding customer needs and solving problems remain unchanged, generative AI presents a new and compelling toolset.

They also discuss the potential of generative AI to revolutionize sectors like healthcare, fintech, and education by making complex technological solutions more user-centric and effective and highlight the importance of 'falling in love with the problem'—spending significant time understanding the issue before looking at the tools available to solve it. The conversation also explores how organizations can start integrating generative AI into their operations.

Key moments:

  • Gen AI and product strategy
  • Fundamentals of project management in the age of AI
  • Challenges and opportunities with gen AI
  • Implementing gen AI in organizations
  • Data considerations and security in AI
  • Strategic implications of gen AI
  • The future of AI Agents and project management
  • How to get in touch with Uday

Key links: 


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Agentic Organizations: The New Era20 août 202400:48:32

What if the future of work is not just about humans collaborating with machines, but about creating entire organizations that operate through AI agents?

In this episode of the Talking AI podcast, host Matt Paige unpacks this concept with Alan Wunsche, Managing Partner at Agentware AI and an expert in organizational change and emerging technologies. Together, they discuss the rise of "agentic organizations," where AI agents are not merely tools but integral members of the workforce, executing tasks autonomously and enhancing productivity.

Alan draws parallels between the current AI revolution and historical technological advancements, such as the printing press. He explains how organizations are beginning to give AI agents more agency, allowing them to take on responsibilities and make decisions that were once the domain of human workers. They also discuss the challenges organizations face in implementing AI agents, the critical role of HR leaders in managing the transition, and lots more.

Key moments:

  • A look at ‘agentic organizations’
  • Comparison of AI’s impact to historical technological revolutions
  • A look at the transition of AI from assistant roles to autonomous agents
  • The critical role of HR leaders in managing organizational change related to AI
  • Insights into the challenges organizations face adapting to the advancements
  • What the potential displacement of knowledge workers due to AI advancements could look like
  • How to equip employees with new skills to thrive
  • The evolving relationship between humans and AI agents
  • Where people can connect with Alan

Key links: 


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Agentic AI: Redefining How We Interact with Technology06 août 202400:47:18

Welcome back to the first episode of season 3 of the Talking AI podcast, formerly known as the Built Right podcast!

We’re kicking off with Amir Behbehani, Founder and Chief AI Engineer at Memra, a platform that helps build, deploy, and automate workflow through AI. He and host Matt Paige look at some of the hurdles AI needs to overcome to fully integrate into enterprise, such as lack of proprietary data access and memory. Amir delves into the science behind these challenges and potential solutions. He introduces the concept of ‘agentic AI’ and the emergent AI stack, made up of five layers, aimed at enhancing AI functionality through memory management, data orchestration, and agentic reasoning.

They also discuss the role of vector and graph databases, the importance of memory and context, and exploring future use cases in a marketplace with agentic AI. Amir also speculates on the transformative potential of AI in the future labor market - hinting at more entrepreneurial endeavors as individuals leverage AI for improved productivity and automation.

Enjoyed this episode? Don't forget to subscribe to our podcast for more insightful discussions on the latest in AI technology! Follow us on social media for updates and exclusive content. Your feedback matters—leave us a review and let us know what topics you'd like to hear about next!

Key moments:

  • Introduction to Amir and Memra
  • Challenges with current LLMs
  • Emergent AI stack overview
  • Layer-by-layer breakdown of the AI stack
  • Agentic AI and memory management
  • Future of work with agentic AI
  • The future of Memra

Key links: 


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Talking AI, Formerly Built Right, Season 3 Launch Trailer30 juil. 202400:00:53

Welcome to the Talking AI podcast, where we dive deep into the world of artificial intelligence with host Matt Paige. Formerly known as the Built Right podcast, Talking AI brings you insightful conversations with AI experts, founders of AI products, and industry leaders who are leveraging AI in their businesses. Whether you're an AI expert or a beginner, our episodes will help you understand how AI technology works and how early adopters are deriving value from it. New episodes drop starting August 6th.

Key links:


Generative AI: Disrupting Software Development11 juin 202400:43:07

Like many other tech fields, software development is being impacted by the mass uptake of artificial intelligence. But how exactly has the role of a software developer changed, and what will that role look like in the future?

In this special edition of the Built Right podcast, our CEO, Brandon Powell, sits down with J Schwan, the new Executive Chairman of HatchWorks, to explore the impact of generative AI on software development. With over 25 years in the digital consultancy space, J is an angel investor and Founder of The Second Mountain, a coaching and early-stage investment fund for technology services underdogs.

He joins the podcast to share his perspectives on the democratization of AI tools, how AI is changing development processes, and the evolving role of a software engineer. In J’s mind, AI isn’t here to replace software developers and they will still need to know the basics of building applications, but AI could hand them the tools for more impactful work.

We also talk about the wider impacts on business models, the role of agents, the potential for more bespoke AI applications, and practical advice for CIOs navigating the current AI hype.

Join us on this episode of the Built Right Podcast as we dive deep into the world of Generative AI and its transformative impact on software development and business. Subscribe now to stay ahead of the curve and never miss an insight from the leading minds in tech. If you enjoyed this episode, leave us a review and share it with your network! Let's build the future together!

Key moments:

  • An engineer’s perspective on the disruptive power of generative AI
  • How generative AI became democratized with chat interfaces
  • How the hype around AI mirrors transformative technologies of the past
  • Why we’re still in the early days of AI’s full potential
  • How AI will change the role of software engineers
  • The role of agents in software development
  • The impact of AI on business models
  • Advice for aspiring software engineers
  • Navigating the AI hype cycle

Key links: 


Mentioned in this episode:

Talking AI - Conversations with AI experts and early adopters

Welcome to the Talking AI podcast, where we dive deep into the world of artificial intelligence with host Matt Paige. Formerly known as the Built Right podcast, Talking AI brings you insightful conversations with AI experts, founders of AI products, and industry leaders who are leveraging AI in their businesses. Whether you're an AI expert or a beginner, our episodes will help you understand how AI technology works and how early adopters are deriving value from it. New episodes drop starting August 6th.

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

AI and the New Age of Artistic Creation28 mai 202401:06:09

While the era of generative AI has got some people worried, especially in the creative spaces, others are seeing new opportunities arise from it.

Meg Ball, Graphic Designer at MTB Creative, has embraced generative AI tools and now uses them as a key part of her design process. In this episode of Built Right, we hear how she first became interested in gen AI and began to use Midjourney after learning about it via Discord communities.

Meg shares her thoughts on the art of prompting and experimenting with different features on Midjourney, plus how AI has changed her creative process entirely. She takes us through her process with an in-depth demonstration of creating new material in Midjourney (which you can see on YouTube).

Explore the future of creativity with us! Dive into this fascinating episode as we discuss how AI tools like Midjourney are reshaping the art and design world. Don’t forget to subscribe, share your thoughts in the comments, and follow us for more insightful episodes on innovation and technology!

Key moments:

  • How Meg first became aware of generative AI
  • Why Meg wishes she had got into AI sooner
  • AI’s impact on creativity
  • How generative AI has changed Meg’s creative process
  • Where AI fits into the final product and why you can’t 100% take away the human element
  • How different industries are reacting to AI
  • Meg’s approach to progressing with AI tools
  • Why technique is the number one thing Meg starts with
  • A demonstration with Midjourney
  • Why it’s not too late to jump on AI

Key links: 


Mentioned in this episode:

Talking AI - Conversations with AI experts and early adopters

Welcome to the Talking AI podcast, where we dive deep into the world of artificial intelligence with host Matt Paige. Formerly known as the Built Right podcast, Talking AI brings you insightful conversations with AI experts, founders of AI products, and industry leaders who are leveraging AI in their businesses. Whether you're an AI expert or a beginner, our episodes will help you understand how AI technology works and how early adopters are deriving value from it. New episodes drop starting August 6th.

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Impact of Generative AI on Conversational Design14 mai 202400:38:14

How has the world of conversational design and conversational interfaces changed with the recent surge of Gen AI?

Taking a deep dive into this topic is Amber Prause, Digital Product Owner at Gordon Food Service, North America's largest privately held food distributor. She joins this episode of Built Right to talk about the evolution of conversational interfaces, the shift from deterministic design to non-deterministic models, and the importance of understanding user personas in designing chatbots.

Amber shares insights on training NLUs, the role of prompt engineering, and the challenges of leveraging AI in business workflows. We explore real-life examples of AI mishaps and the future of conversation design in the age of gen AI.

Listen to our podcast for insights from leading figures in this evolving field. Subscribe, share your favorite clips, and join the conversation today!

Key moments: 

  • Introducing Amber and Gordon Food Service
  • Amber provides insight into what conversational design is
  • What part does UX play in conversational design?
  • The potential risks of utilizing gen AI for large companies
  • Examples of gen AI being used to do compelling and interesting things
  • Big shifts in conversation design
  • What AI solutions Amber is using right now
  • The tool Amber is most excited about

Key links: 


Mentioned in this episode:

Talking AI - Conversations with AI experts and early adopters

Welcome to the Talking AI podcast, where we dive deep into the world of artificial intelligence with host Matt Paige. Formerly known as the Built Right podcast, Talking AI brings you insightful conversations with AI experts, founders of AI products, and industry leaders who are leveraging AI in their businesses. Whether you're an AI expert or a beginner, our episodes will help you understand how AI technology works and how early adopters are deriving value from it. New episodes drop starting August 6th.

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Navigating Workplace Challenges with AI: The Tough Day Solution30 avr. 202400:54:24

Generative AI has set workplaces around the world on a path toward reshaping business models, team structures, and how they look for tech solutions. And it shows no sign of slowing down!

In this episode of the podcast, we hear about a new AI platform that offers a unique solution to modern workplace challenges.

Katherine von Jan, aka KVJ, is the Co-Founder of Tough Day, an AI platform that helps workers with everyday challenges. She joins the Built Right podcast to share her brilliant strategy for taking a unique idea and bringing it to market. We hear about how she first came up with the idea and put it through rigorous testing and research methodologies to test viability.

Katherine also shares her take on AI in the future of workplaces, the human connection in AI, and why Tough Day has been building AI archetypes to better understand different customer use cases.

Discover how KVJ's vision is reshaping the workplace with AI, offering a beacon of support and clarity for workers navigating today's challenges. Listen to our podcast for insights from leading figures in this evolving field. Subscribe, share your favorite clips, and join the conversation today!

Key moments: 

  • Why Katherine built Tough Day
  • The challenges of being an employee or manager in today’s world
  • Where Tough Day can help employees who don’t have anyone to turn to for advice
  • Katherine explains her early strategy that got Tough Day from an idea to a working solution
  • Why an AI-first mindset is needed today
  • How Katherine and her team put Tough Day to the test
  • Working with LLM’s that may change in time
  • Why Tough Day is building AI archetypes to understand use cases
  • Where generative AI is headed in the future

Key links: 


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Talking AI - Conversations with AI experts and early adopters

Welcome to the Talking AI podcast, where we dive deep into the world of artificial intelligence with host Matt Paige. Formerly known as the Built Right podcast, Talking AI brings you insightful conversations with AI experts, founders of AI products, and industry leaders who are leveraging AI in their businesses. Whether you're an AI expert or a beginner, our episodes will help you understand how AI technology works and how early adopters are deriving value from it. New episodes drop starting August 6th.

Orchestrating the Web: The Untapped Potential of AI16 avr. 202401:13:33

Welcome to an exciting episode of the Built Right podcast where we are talking to Alexander De Ridder, who is an entrepreneur, technologist, and visionary, focused on leveraging AI to transform businesses. Alexander is also the Co-Founder and CTO of SmythOS.

In this episode, Alexander gives us an overview of his fascinating career journey, which has led to where he is today, segueing into an in-depth look at the concept of AI orchestration and the future of AI agents. Alexander explains where he sees AI going in the future and challenges the conventional view of the web as merely a collection of information, presenting it instead as an evolving organism.

The conversation also covers the importance of orchestrating the web, the concept of SmythOS, which aims to create networks of collaborative orchestrating agents, his predictions around the transition to AI agents, and how employees can adapt to this rapidly changing landscape. Plus, much more.

Dive into the future of AI orchestration, agent collaboration, and the economic transformations powered by artificial intelligence. To stay updated with cutting-edge discussions, subscribe to our podcast and newsletter.

Key moments: 

  • High-level background of Alexander De Ridder
  • Where he believes AI is going in the future
  • The web as artificial general intelligence (AGI)
  • How the biggest economic gains don’t always come from the advanced AI models
  • Why he believes orchestrating the web is so important
  • The concept of SmythOS
  • The importance of AI in orchestrating workflows
  • Alexander's predictions about the transition to AI agents
  • How employees can adapt to the rapidly changing landscape

Key links: 


Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Talking AI - Conversations with AI experts and early adopters

Welcome to the Talking AI podcast, where we dive deep into the world of artificial intelligence with host Matt Paige. Formerly known as the Built Right podcast, Talking AI brings you insightful conversations with AI experts, founders of AI products, and industry leaders who are leveraging AI in their businesses. Whether you're an AI expert or a beginner, our episodes will help you understand how AI technology works and how early adopters are deriving value from it. New episodes drop starting August 6th.

The AI Startup Journey: Lessons Learned from Wysper.ai's Founder02 avr. 202400:35:11

The barrier to entry in product development is growing smaller every day as new tech like AI makes it easier than ever to build your own products. But what does this mean for the SaaS market? Will the business model that SaaS companies have followed need to evolve? 

On the Built Right podcast, we welcomed Gregory Mayer, the Founder of Wysper.ai, a solution that automates content creation by turning podcasts and webinars into written content for marketing purposes. Gregory’s story is an inspiring one for anyone who’s ever wanted to build their own tech solution, as someone who went from idea to market in the space of just a couple of months.

Learn how AI is changing content creation and entrepreneurship. Listen to our podcast for insights from leading figures in this evolving field. Subscribe, share your favorite clips, and join the conversation today!

Key moments: 

  • Why Greg decided to build his own AI tool
  • The diminishing friction of creating new tools for the market
  • How Wysper went from idea to market in just a couple of months
  • What the low barrier to entry in product development means for the market
  • How the SaaS business model could change
  • How companies can stand out in the evolving market
  • The most important skills needed when building a product today

Key links: 


Mentioned in this episode:

Talking AI - Conversations with AI experts and early adopters

Welcome to the Talking AI podcast, where we dive deep into the world of artificial intelligence with host Matt Paige. Formerly known as the Built Right podcast, Talking AI brings you insightful conversations with AI experts, founders of AI products, and industry leaders who are leveraging AI in their businesses. Whether you're an AI expert or a beginner, our episodes will help you understand how AI technology works and how early adopters are deriving value from it. New episodes drop starting August 6th.

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

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