Explorez tous les épisodes du podcast Tool Use - AI Conversations

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Tired of wasting hours managing your inbox? In this episode of Tool Use, we explore how AI is revolutionizing email management with Sarah Allali, founder of Lobby AI. Discover how intelligent email agents can automatically process your messages, prepare meeting invitations, draft responses, and prioritize your communications without you ever opening your inbox. Learn the future of work orchestration as Sarah explains how AI assistants analyze your habits, understand your priorities, and handle the busy work of email management so you can focus on what truly matters.

Check out Lobby AI:

https://thelobby.ai

Get FREE AI tools

pip install tool-use-ai

Connect with us

https://x.com/ToolUseAI

https://x.com/MikeBirdTech

https://x.com/FieroTy

https://x.com/SarahAllali7

03:59 - What makes AI email processing truly valuable

07:44 - How the system prioritizes important emails

12:17 - Knowledge work that can be delegated to AI

14:55 - Creating premium AI experiences

22:10 - Lobby AI demo

Tool Use is a weekly conversation about helpful AI tools you can use today, brought to you by Anetic.

This week we're joined by Nathaniel Whittlemore (NLW), founder and CEO of Superintelligent and host of the AI Daily Brief podcast, for an in-depth discussion on the current state of AI agents. We explore the evolving definition of AI agents, why getting caught up in technical definitions may be missing the point, and examine real-world use cases and limitations of AI agents in business today. NLW shares insights on why most companies are still best suited for single-purpose, specific agents rather than complex multi-agent systems, and discusses the challenges of AI adoption, from data readiness to employee resistance.

The conversation explores how companies are shifting from buying to building their own AI solutions, the cultural and leadership challenges of implementing AI agents, and predictions for AI agent development in 2025 and beyond. NLW also provides practical advice for staying up-to-date in the rapidly evolving AI landscape.

Check out Superintelligent

https://besuper.ai/

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pip install tool-use-ai

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00:49 - Definition of AI agents and their practical use cases

13:50 - Hallucinations in AI and impact on business adoption

18:19 - Common mistakes businesses make when implementing AI

25:01 - Cultural readiness for AI adoption

35:59 - Future of work: Everyone becoming managers of AI agents

Tool Use is a weekly conversation about helpful AI tools you can use today, brought to you by Anetic.

This week, we chat with Neil Chudleigh, the solo founder of Superwhisper, a powerful voice-to-text tool that's changing the way we interact with computers. Neil shares his insights on AI, productivity, and entrepreneurship. Links Superwhisper - https://superwhisper.com/ Homerow - https://www.homerow.app/ Get the tools pip install tool-use-ai Connect with us https://x.com/ToolUseAI

https://x.com/MikeBirdTech

https://x.com/FieroTy

https://x.com/neilsuperduper

Nisten teaches us about how he uses local models to get the best results! Get the tools pip install tool-use-ai Connect with us https://x.com/ToolUseAI https://x.com/MikeBirdTech https://x.com/FieroTy https://x.com/nisten

You are prompting wrong! This video is full of ideas for how to get the most out of your LLMs Get the tools pip install tool-use-ai Check out Brian's blog https://www.astralprojections.ai/ Connect with us https://x.com/ToolUseAI https://x.com/MikeBirdTech https://x.com/FieroTy https://x.com/bfioca

This episode explores the world of AI evaluation, with insights from Chris Hay on why benchmarks are "stupid" and how to effectively evaluate AI models. Get the tools pip install tool-use-ai Check out Chris' Channel https://www.youtube.com/@chrishayuk Links https://github.com/EleutherAI/lm-eval... Lessons from the Trenches on Reproducible Evaluation of Language Models - https://arxiv.org/pdf/2405.14782

https://github.com/confident-ai/deepeval Connect with us https://x.com/ToolUseAI

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https://x.com/chrishayuk *The opinions of Chris are purely Chris's opinions and don't represent the opinions of his employer

Join us for an in-depth conversation with Ray Fernando, a former Apple engineer turned live streamer, as we explore the world of AI-powered tools and transcription. From his journey into AI to his experiences with various models and tools, Ray shares his insights on building app experiences, overcoming difficulties, and the importance of user experience. Ty and Mike give demos for:

• A productivity AI coach that uses a webcam to track posture and focus
• A tool called Fuzzy Puffin that uses natural language to interact with a pip package

Keep up with Ray

https://www.rayfernando.ai/

https://raytranscribes.com/

Connect with us

https://x.com/ToolUseAI

https://x.com/MikeBirdTech

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https://x.com/RayFernando1337

10 Technologies Claude - https://claude.ai/new AI Studio - https://aistudio.google.com/ v0 - https://v0.dev/ Ray Transcribes - https://raytranscribes.com/ Cursor - https://www.cursor.com/ moondream - https://github.com/vikhyat/moondream LlamaIndex - https://www.llamaindex.ai/ Llamafile - https://github.com/Mozilla-Ocho/llama... Hermes 3 - https://nousresearch.com/hermes3/ Tool Use AI - https://github.com/ToolUse/tool-use-ai

In this episode, Mike Bird and Ty Fiero explore the exciting possibilities of AI in marketing, discussing the potential benefits and challenges of using artificial intelligence to revolutionize the field. They demonstrate how to use Obsidian to generate viral tweets and create a marketing agency using the OpenAI Swarm framework. In this episode, we're joined by Murat Koylan, a prompt engineer and AI marketer who shares his expertise. Murat emphasizes the importance of understanding the underlying mechanics of language models and highlights the need for human evaluation in AI-generated content. Links:

LinkedIn:

https://linkedin.com/in/muratcan-koylan

The content reverse engineering prompt:

https://github.com/muratcankoylan/prompts/blob/main/ContentAnalyzer

AI Case Study Analysis Agent:

https://github.com/muratcankoylan/AI-Investigator

Stanford Storm Project:

https://storm.genie.stanford.edu/

Connect with us:

https://x.com/ToolUseAI

https://x.com/MikeBirdTech

https://x.com/FieroTy

https://x.com/youraimarketer

This week, Jason McGhee joins Tool Use. A CTO and Co-Founder, he shares his guiding principles for building fast and making things that matter. Ty shares a tool for leveraging A.I. to prioritize your tasks. Mike shares an A.I. activity tracker. Both are open source and free to use.

To get the free AI tools, open your terminal and run:pip install tool-use-ai

Links:

https://github.com/jasonjmcghee

https://productiveadventures.substack...

https://github.com/ToolUse/tool-use-ai

Connect with us:

https://x.com/ToolUseAI

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https://x.com/_jason_today

Install the free Tool Use CLI tool with pip install tool-use-ai This week is just Mike and Ty going over tools they use to save time. Get through your never-ending reading list with NotebookLM. You can use Claude Computer Use to allow AI to automate a computer. And the Tool Use pip package is going to allow you to quickly use the tools we cover in the show as well as build your tools faster than ever. NotebookLM: https://notebooklm.google.com/ Claude Computer Use: https://www.anthropic.com/news/3-5-mo... Connect with us: https://x.com/ToolUseAI

https://x.com/FieroTy

https://x.com/MikeBirdTech

Use A.I. on your computer to revolutionize your workflow! This episode of Tool Use discusses how to leverage AI on your desktop, with a focus on AI-powered process automation. We feature three demos, including OpenAdapt, Plock, and ScreenPipe. Our guest, Richard Abrich, founder of OpenAdapt, shares his insights on the potential of AI to automate repetitive tasks and improve workflows. Ty gives us a bonus demo of Pinokio too! Keep up with OpenAdapt:

https://openadapt.ai/

https://github.com/OpenAdaptAI

https://x.com/OpenAdaptAI

Links: Plock: https://github.com/jasonjmcghee/plock Pinokio: https://pinokio.computer/ Screenpipe: https://github.com/mediar-ai/screenpipe

Connect with us:

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https://x.com/abrichr

Use A.I. Tools to maximize your development workflow! Jake Koenig joins Tool Use to teach us about Mentat and share his perspective on how software engineering will evolve in the AI age. Ty shows us Atuin, a much better CLI history tool, a helpful CLI command correcting script called WTF, and an unexpected appearance from one other tool. Mike shows how to use Aider and how it fully implemented a refactor on his AI Toolkit. Check out Mentat: https://mentat.ai/ Atuin: https://github.com/atuinsh/atuin wtf: https://github.com/OpenInterpreter/op... Aider: https://aider.chat/ AI Toolkit: https://github.com/MikeBirdTech/ai-to... Connect with us: https://x.com/ToolUseAIhttps://x.com/FieroTyhttps://x.com/MikeBirdTechhttps://x.com/ja3k_

In this episode, we dive deep into the world of open source AI with Victor Miller from LLM360. Learn why open source data is crucial for training better AI models (and how it's shaping the future of robotics). Victor shares insights on TXT360 (a 15 trillion token dataset) and explains why data quality matters more than ever in AI development.Key topics covered:- Why open source matters in AI development- The relationship between data quality and model performance- The future of robotics as an AI application layer- How to get started building with open source AI- Practical advice for newcomers to AI developmentVictor also discusses recent developments in open source models, including DeepSeek, Sky T1, and S1, and shares his perspective on the future of AI applications in robotics and beyond.Get FREE AI tools pip install tool-use-ai Connect with us https://x.com/ToolUseAI https://x.com/MikeBirdTech https://x.com/FieroTy02:22 - What makes a good LLM training dataset 06:00 - The importance of open source in AI development 14:12 - MetaGene model for virus detection and public health 24:24 - Challenges and future of home roboticsTool Use is a weekly conversation about helpful AI tools you can use today, brought to you by Anetic.

Discover the secret to creating stunning websites! Dillion Verma joins Tool Use to teach us how to use v0 and MagicUI. Building beautiful websites and apps has never been so easy and incredibly fast! Mike shows how easy it is to use Gradio to showcase and test your AI models and APIs. Ty builds a (very good attempt at) generative UI system to build full UIs using only MagicUI components. Check out MagicUI: https://pro.magicui.design/?ref=tooluse Links from Dillion: V0 Cheatsheet: https://dillionverma.notion.site/V0-d... Jordan Hughes: https://x.com/jordanphughes Untitled UI: https://www.untitledui.com/ MagicUI on X: https://x.com/magicuidesign Connect with us: https://x.com/ToolUseAIhttps://x.com/FieroTyhttps://x.com/MikeBirdTechhttps://x.com/dillionverma

Start building your own AI tools today! Join us as we take a step back and explore the world of building AI tools. This week, we're joined by Jason Kneen, an app engineer turned AI engineer, who shares his expertise and insights. Subscribe to Jason's Twitter: https://x.com/jasonkneen Episode Highlights:

• Ty demonstrates the power of Cursor IDE and Claude, with a focus on Claude projects and Cursor rules
• Mike showcases his Alacritty terminal setup, including functions, aliases, Alacritty hints, and using Automator to turn scripts into programs
• Jason walks us through using Krea for AI art generation

Stay tuned for our extended conversation episode where we'll dive into deeper discussions on AI tool development! Code: https://github.com/MikeBirdTech/dotfileshttps://github.com/tyfiero Connect with us: https://x.com/ToolUseAIhttps://x.com/FieroTyhttps://x.com/MikeBirdTechhttps://x.com/jasonkneen

We're joined by AJ, also known as ‪@techfren‬ in the tech world. We discuss open source coding tools and demo some open source infrastructure projects with the goal of helping the open source AI tool ecosystem. GitHub Actions - 01:06‪@MikeBirdTech‬ builds AI powered Github Actions

• PR Writer - writes a PR title and description based on commit messages
• TODO Issue Creator - creates GitHub issues from TODO comments
• Code - https://github.com/MikeBirdTech/ai-to...

• Get a recommendation on which license is best for your project
• PIP package - https://pypi.org/project/license-sele...

‪@tyfiero‬ creates License Selector Say hello to Techfren https://techfren.net/ Make your own Stack repo https://github.com/MikeBirdTech/stack Connect with us: https://x.com/ToolUseAI https://x.com/MikeBirdTech https://x.com/FieroTy https://x.com/techfrenAJ

Join us for this week's episode of Tool Use as we dive into the exciting world of voice intelligence. We're joined by special guest Killian Lucas, creator of Open Interpreter, as we explore the latest developments in AI tools. We discuss the latest advancements in voice intelligence, including voice-controlled agents and speech-to-speech systems. Killian shares his personal story of getting into the AI space and building Open Interpreter, an open-source project that allows users to run code on their computers using natural language. He also shows a demo of making a voice assistant patiently wait for its turn to talk. Shallowgram - open source and local version of Deepgram 01 Voices - give your 01 a custom voice and persona from a single prompt Check out Open Interpreter https://openinterpreter.com Code: Shallowgram: https://github.com/MikeBirdTech/ai-to... 01 Voices: https://github.com/tyfiero/tool-use Connect with us: https://x.com/ToolUseAI https://x.com/MikeBirdTech https://x.com/FieroTy https://x.com/hellokillian

Time is our most precious resource, let's use AI to optimize it! In this episode of Tool Use, Mike Bird and Ty Fiero discuss the importance of time management and explore AI-powered tools that can help optimize productivity. They share their personal experiences with using AI tools to manage their time and highlight the benefits of such tools. Watch as Mike demonstrates an activity tracker that uses Whisper to recognize spoken activities and categorize them using an LLM. The tracker can also provide statistics on time spent on different activities and offer insights on how to optimize time management. Ty introduces Calvin, a CLI app that integrates with Google Calendar and can create, edit, and delete events. Calvin uses cloud-based apps behind the scenes and can be used to automate workflows. Joining the conversation is Orlando, co-founder of Toolhouse, who discusses his company's mission to give superpowers to LLMs. He demonstrates a tool that uses Toolhouse to extract information from a database using natural language queries. The conversation turns to the future of AI, including the potential for mixture of experts models and the importance of decentralization. Check out Toolhouse: https://toolhouse.ai/ Code: Activity Tracker: https://github.com/MikeBirdTech/ai-to... Calendar Automator: https://github.com/tyfiero/tool-use Read about OLMOE: https://huggingface.co/allenai/OLMoE-... Connect with us: https://x.com/ToolUseAIhttps://x.com/MikeBirdTechhttps://x.com/FieroTyhttps://x.com/sunglassesface

Join us for an exciting episode of Tool Use as we welcome our first guest, Twodog, who showcases the innovative Farm Friend project! Don't miss this knowledge-packed episode on leveraging AI to create powerful tools that streamline your workflow! Episode Highlights:

• Deep dive into tools that build tools
• Discover free and open-source time-saving solutions by Mike and Ty
• Explore the game-changing 100 million context window from Magic
• Showcasing The Privacy and Sovereignty Company

Featured Tools: Obsidian Plugin Generator https://github.com/MikeBirdTech/ai-to... Script-o-matic https://github.com/tyfiero/script-o-m... Check out Farm Friend http://farm-friend-v1.replit.app Connect With Us: https://x.com/ToolUseAIhttps://x.com/MikeBirdTechhttps://x.com/FieroTyhttps://x.com/twodogseeds

Ty and Mike show you how to extract data from videos to leverage in amazing ways. Have AI get information from videos to improve your life. Have a YouTube playlist that's grown so big that you'll never get to watch all the videos? Ty shows you how you can turn those videos into consumable summaries. Did you make a video and want to generate content from it? Mike shows you how you can use AI to turn a video into many different pieces of content. Learn about the amazing work done by the Human Feedback Foundation. Learn about how consumers are tired of hearing about AI in your marketing material. Code: https://github.com/MikeBirdTech/ai-to...https://github.com/tyfiero/tool-use Be sure to subscribe and keep up on X: https://x.com/tooluseai Connect with Ty and Mike on X: https://x.com/FieroTyhttps://x.com/MikeBirdTech

Join Mike Bird and Ty Fiero as they continue their exploration of AI tooling, sharing practical examples that you can use today. In this episode, they explore web scraping, its applications, and its connection to AI #Tools Generate a synthetic data set from a prompt and train a model on it Use an automatic research assistant to generate learning material on any subject #News Anthropic launches Context Caching Nous Research launches Hermes 3 #Code https://github.com/MikeBirdTech/ai-to...https://github.com/tyfiero Next week, AI and video Connect with us to keep the conversation going: https://x.com/ToolUseAIhttps://x.com/FieroTyhttps://x.com/MikeBirdTech Subscribe to Tool Use for more episodes on AI tooling and how you can use it to improve your life!

This week we learn how to build production-ready RAG systems from Graphlit CEO Kirk Marple. Kirk shares crucial insights about knowledge graphs, reranking, and scaling RAG beyond basic implementations. Essential viewing for developers working with AI and large language models. Check out Graphlit https://www.graphlit.com/ Get FREE AI tools pip install tool-use-ai Connect with us https://x.com/ToolUseAI https://x.com/MikeBirdTech

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https://x.com/KirkMarple

02:47 Comprehensive RAG Explanation 07:27 Chunking Strategies in RAG 26:12 Knowledge Graphs in RAG 37:32 Future Challenges and Complex Retrieval Need help implementing AI in your business? We're here to help! Send us a message

In this episode, we return to our demo roots with something special - an open source meeting transcriber and audio processor that runs 100% locally. We're tired of paying monthly subscriptions for basic tools, so we built WhisperBox. Please consider supporting the channel and purchasing the GUI version of Whisperbox https://tooluse.gumroad.com/l/whisperbox Get Whisperbox for free Code: https://github.com/ToolUse/whisperbox Install: pip install whisperbox Get FREE AI tools pip install tool-use-ai Connect with us https://x.com/ToolUseAI https://x.com/MikeBirdTech https://x.com/FieroTy 01:15 - Anetic announcement 04:44 - Whisperbox 08:52 - Demos 23:22 - AI News Discussion

AI education is changing forever. Hai Nghiem shows us Cats with Bats, an innovative platform that makes learning AI engineering faster and more intuitive. Watch how advanced features like code extraction, AI-powered video navigation, and agent instructions are transforming how developers learn AI engineering. From his experience running AI Tinkerers Ottawa to building educational tools, Hai shares insights on the future of AI education and engineering. Check out Cats with Bats https://www.catswithbats.com/ Get FREE AI tools pip install tool-use-ai Connect with us https://x.com/ToolUseAI https://x.com/MikeBirdTech https://x.com/FieroTy https://x.com/haithehuman https://www.linkedin.com/in/haiphunghiem/

Teams of A.I. agents are the future. Aaron teaches us about Mosaia, a platform for building teams of AI agents without any code. Check out Mosaia https://www.mosaia.io/ Get FREE AI tools pip install tool-use-ai Connect with us https://x.com/ToolUseAI https://x.com/MikeBirdTech https://x.com/FieroTy https://x.com/aaronwongellis

Graham Neubig, the Chief Scientist and Co-Founder of All Hands AI joins us to talk about OpenHands and the future of coding agents Links https://www.all-hands.dev/

https://github.com/All-Hands-AI/OpenHands

https://discord.gg/p2jcTRBTB8 Get the tools pip install tool-use-ai Connect with us https://x.com/ToolUseAI

https://x.com/MikeBirdTech

https://x.com/FieroTy

https://x.com/gneubig

Join Mike and Ty as they reflect on their first five months of Tool Use, discussing their favourite episodes, amazing guests, and lessons learned. In this special episode, they also make an exciting announcement... Install Free AI tools to make your life easier pip install tool-use-ai Connect with us https://x.com/ToolUseAI https://x.com/MikeBirdTech https://x.com/FieroTy (Mike thanks his niece for the lovely nails)

Francisco teaches us how Pampa Labs approaches bringing businesses into the age of LLMs Pampa Labs - https://www.pampa.ai/ Get the tools pip install tool-use-ai Connect with us https://x.com/ToolUseAI

https://x.com/MikeBirdTech

https://x.com/FieroTy

https://x.com/fpingham

Check out www.ToolUsePodcast.com

Hermes Agent has emerged as the open source AI agent that people are choosing. In this episode, we go beyond the hype to understand why. Through conversations with a co-founder of Nous Research, AI engineering veterans, and non-technical builders, we explore what Hermes can actually do today, where it falls short, and why the choice of which agent you use matters more than you think. From self-improving skills and three-layer memory to video dubbing workflows and CAD hardware sourcing. These are real people getting real value from an agent they own. But the deeper story is about what happens when your AI infrastructure is closed vs open. The decisions you make today about which tools you use are shaping the future of AI for everyone. Open source must win, and this episode explains why.

Follow the amazing guests

Karan - Co-founder & Head of Behavior, Nous Research: https://x.com/karan4d

Wolfram Ravenwolf - AI Evangelist and Creator Wolfbench: https://x.com/WolframRvnwlf

Robert Desmond — Founder & CEO, Farm Friend: https://x.com/twodogseeds

Evan Roach — Product Developer: https://x.com/evvaaannnn

Kat Winter - https://x.com/katspigeon

Connect with us

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00:00:00 - Intro

00:01:52 - Ambient Agents

00:05:12 - Why everyone is switching to Hermes Agent

00:17:53 - Real-World AI Agent Use Cases & Automations

00:29:59 - Why Open Source Must Win

Subscribe for more insights on AI tools, productivity, and the open source AI movement.

Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX

Tool Use is a weekly conversation with the top AI experts.

Check out www.ToolUsePodcast.com

Are AI web browsers falling short of the hype? Enter Rover, a revolutionary open-source AI agent that unlocks full autonomous workflows directly on your website with just a single script tag. In this episode, Arjun and Bhavani from rtrvr return to dive deep into how Rover uses a unique DOM-only approach to navigate, click, and type with subsecond latency. This innovative method completely bypasses slow screenshot-based models and outdated playwright or puppeteer scripts. We discuss the engineering secrets behind building smart DOM trees, why they crushed web benchmarks, and how Rover provides a powerful alternative to Google's Web MCP by keeping users engaged on your site instead of handing traffic over to external AI tools. Plus, learn how you can trigger complex agentic workflows via simple URL queries and why open-sourcing this technology is a massive win for the developer community.

Rover links:https://x.com/rtrvrairover.rtrvr.ai
Github: https://github.com/rtrvr-ai/rover
Rover Deep dive: https://www.rtrvr.ai/blog/10-billion-proof-point-every-website-needs-ai-agent
Benchmark: https://www.rtrvr.ai/blog/web-bench-results

Connect withus
https://x.com/ToolUsePodcast
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https://x.com/rtrvrai

00:00:00 - Intro
00:03:05 - The DOM-Only Approach vs Screenshots for AI Agents
00:06:00 - Parsing HTML vs Markdown for Reliable LLM Data
00:11:47 - Handling Modals, iFrames, and Canvas Elements
00:15:32 - Implementing AI Guardrails and Extracting User Intent Data
00:28:04 - Rover vs Google Web MCP for Website Automation
00:31:25 - Triggering Autonomous AI Workflows via URL Queries

Subscribe for more insights on AI tools, productivity, and web automation.

Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX

Tool Use is a weekly conversation with the top AI experts.

Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX

Sukh Saini, an exited founder and the creator of Engyne, joins Tool Use to break down the essential strategies for AI product distribution and personal branding. With a track record of 38 products, Sukh shares how he transitioned from a self-proclaimed horrible employee to a successful entrepreneur by mastering the business loop of building, selling, and scaling. This episode covers the vital shift from managing multiple low-revenue apps to focusing on exponential growth through high-conviction projects like Retail, which he sold after finding a unique distribution edge within the Stripe marketplace.

Learn why building in public is a massive advantage for establishing trust and why marketplaces like Canva, Stripe, and the ChatGPT store are the next big frontiers for indie developers. Sukh also details his practical framework for validating demand through industry research and hypothesis-driven customer calls, ensuring you solve high-value problems before writing a single line of code. Whether you are interested in B2B SaaS, AI app stores, or building a thought leadership brand on LinkedIn, this conversation provides a tactical playbook for any builder looking to win in the AI era.

Engyne: https://engyne.ai/

Sukh's LinkedIn: https://www.linkedin.com/in/sssaini/

Connect with us

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https://x.com/thisissukh_

00:00:00 - Intro

00:01:21 - How to build a winning product loop

00:04:26 - Mastering product distribution and the Stripe marketplace

00:08:12 - Why building a collection of small apps is a mistake

00:14:56 - Validating SaaS demand before writing code

00:21:56 - Tactical framework for finding customer pain points

00:27:59 - The competitive advantage of building in public

00:42:27 - Unlocking distribution through the ChatGPT app store

Subscribe for more insights on AI tools, productivity, and entrepreneurship.

Tool Use is a weekly conversation with the top AI experts.

Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX

Master your AI career in 2026 with this comprehensive guide on how to get a job in AI as a developer or non-technical professional. Mike Bird, AI and Engineering Lead at BoxOne Ventures, breaks down his personal journey from software developer to AI leader and shares insider secrets on the modern hiring process. Learn why traditional resumes are failing in the age of AI screeners and why you should embrace building in public, networking at AI Tinkerers events, and creating obnoxious resumes to stand out from thousands of bot-driven applications. Whether you are looking to become an AI engineer, a specialized AI consultant, or the AI champion at your current company, this episode provides actionable strategies on leveraging tools like Claude Code, Cursor, and more to proof-of-concept your way into the fastest-growing industry in human history. We dive deep into the technical skills required for 2026, including managing fleets of AI agents and mastering security audits, while also addressing career pivots for those in their 40s or 50s.

Connect with us

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00:00:00 - Intro

00:01:02 - Career Pivot Strategy: From Dev to AI Lead

00:03:35 - Beat AI Screeners: The Case for the "Obnoxious" Resume

00:10:43 - 2026 AI Engineer Interview: Technical Screens & Vibe Checks

00:16:08 - AI Consulting vs Productizing: Knowledge Arbitrage Tips

00:20:08 - Build in Public: How to Increase Your AI Luck Surface Area

00:25:30 - Non-Technical Strategy: Becoming an AI Champion

00:30:32 - Realistically how long it takes to transition into AI

00:36:26 - Is it too late to learn AI if you are 40+ or 50+?

Subscribe for more insights on AI tools, productivity, and entrepreneurship.

Tool Use is a weekly conversation with the top AI experts.

Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX

In this 2025 year-end wrap-up, we dive deep into the massive shifts in the AI landscape, from the surprise release of GPT-5.2 to the rise of open source models like DeepSeek. Mike Bird and Richardson Dackam reflect on a year defined by accelerating iteration cycles, the growing energy bottleneck for data centers, and the emergence of reasoning models that have changed how we approach complex tasks. We also look ahead to 2026, predicting the evolution of browser agents, the integration of AI in physical robotics, and why the next frontier of artificial general intelligence might actually be found in biological simulation. Whether you are interested in fine-tuning open models, the future of AI-generated content, or how programmable payments through crypto will enable the agentic future, this episode covers the essential trends every AI builder needs to know.

Check out Richardson's work

https://www.nshipyard.com/

Connect with us

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https://x.com/MikeBirdTech

https://x.com/RichardsonDx

00:00:00 - Intro

00:00:26 - Frontier Model Race: Gemini 3 vs GPT-5.2

00:07:27 - Open Source AI and the DeepSeek Market Shock

00:12:06 - The Future of AI Interfacing: Voice & Multimodality

00:30:39 - Browser Agents and Agentic Tools for 2026

00:41:58 - Physical AI: The Humanoid Robot Revolution

00:48:20 - The Next Frontier: Why Biology is the Bottleneck for AGI

Subscribe for more insights on AI tools, productivity, and automation.

Tool Use is a weekly conversation with the top AI experts.

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Discover how to master your executive function and reclaim your schedule with AI. In Episode 71 of Tool Use, Sam Julien (Director of Developer Relations and Experience at Writer) joins Mike Bird to explore how AI acts as the ultimate equalizer for productivity and mental clarity. We dive deep into practical strategies for reducing the time tax of administrative drudgery, using AI voice-to-text for brain dumping, and leveraging models as rubber duck brainstorming partners. Whether you are navigating new parenthood, managing a fast-paced career, or looking to avoid burnout, this conversation covers the micro-skills that lead to massive quality-of-life improvements. From using local Whisper models for privacy to the role of AI in creative work, learn how to stop the brain rot and start using technology to find your flow.

Learn more about Sam Julien:

http://www.samjulien.com/

https://www.linkedin.com/in/samjulien/

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00:00:00 - Intro

00:01:21 - Validating AI Engineering: Moving from Hype to Reality

00:02:14 - Mastering Executive Function with AI Voice Dictation

00:06:53 - AI as a Brainstorming Partner and Rubber Duck

00:15:36 - Solving the ROI Challenge: Context Engineering vs. Drudgery

00:18:43 - Leveraging AI to Prevent Burnout and Admin Fatigue

00:26:14 - Navigating AI Monoculture and Preserving Human Connection

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Discover the future of front-end development with Cluso, an AI-powered web inspector and browser designed for "vibe coding." In this episode, Jason Kneen returns to demonstrate how to build bespoke AI tools that go beyond simple transcription. We dive deep into implementing voice control with context-aware agents, mastering the Model Context Protocol (MCP) for tool integration, and building fast orchestration layers to route requests between local models and cloud agents like Claude and Gemini. Whether you are interested in Electron app development, context splicing, or multi-view mobile testing, this conversation covers how top builders are creating their own workflows.

Cluso: https://cluso.app/

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00:00:00 - Intro

00:07:54 - Building Voice Control for AI Agents

00:15:20 - Leveraging MCP for Better Tooling

00:19:42 - Fast Orchestration & Model Routing

00:25:06 - Multi-Model Agent Architecture

00:31:13 - Cluso Demo & Workflow

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Discover how non-technical founders are building valid MVPs using vibe coding and Cursor, and why you need to move beyond simple AI wrappers. We sit down with Mike Leslie, CEO of Revela, to discuss the critical strategies for de-risking your business from big AI labs like OpenAI and Anthropic. Learn when to transition to in-house open-source models, how to fine-tune small language models (SLMs) for specific use cases, and the best methods for structured data collection to build a defensible IP moat.

https://revela.io/

https://www.linkedin.com/in/mike-leslie-8b48a9141/

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00:00:00 - Intro

00:04:14 - Advice for Non-Technical Founders: The "Vibe Coding" Revolution

00:13:07 - Hiring Strategy: Agency vs. In-House Tech Team

00:15:22 - Why You Must Move AI In-House: Small Language Models (SLMs) & Control

00:21:20 - How to Build a Data Moat: Structured Collection & Fine-Tuning

00:29:28 - The Trap of Thin Wrappers: The Cursor vs. Anthropic Cautionary Tale

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Building AI agents is the current trend, but are you doing it correctly? Sam Bhagwat, founder of Mastra, joins Tool Use to breakdown the principles of building reliable AI agents. We discuss why you should use a TypeScript agent framework like Mastra, how to engineer production-grade prompts, and the best patterns for tool calling. Sam explains advanced concepts like observational memory, dynamic agents, and the "lethal trifecta" of security risks. Whether you are building coding agents or enterprise workflows, this episode covers the essential primitives for success.

Mastra: https://mastra.ai/

Get the Book: https://mastra.ai/book

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00:00:00 - Intro

00:01:19 - When to use an AI Agent Framework

00:06:05 - Principles for designing Agent Tools

00:11:01 - Human-in-the-loop Architectures

00:17:19 - Working Memory vs Long-term Memory

00:32:03 - The "Lethal Trifecta" of Security Risks

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Tool Use is a weekly conversation with the top AI experts.

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Turn your Obsidian vault into a fully automated operating system using Claude Code and AI agents. In this episode of Tool Use, physicist and AI explorer Artem Zhutov reveals how to leverage coding agents for non-coding workflows to optimize your productivity.

Discover how to build a dynamic "second brain" that acts as a personal coach, automates daily planning, and streamlines job searches—all while keeping your data local. Artem breaks down his unique setup where Claude Code interacts directly with his Obsidian files, running Python scripts and custom slash commands to create reliable, affordable, and powerful automations. From "just-in-time" context loading to instant voice note transcription with WhisperFlow, this conversation covers the cutting edge of personal knowledge management (PKM) and local AI assistance.

Artem:

Website: https://artemxtech.github.io/

YouTube: https://www.youtube.com/@ArtemXTech

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00:00:00 - Intro

00:05:25 - How to Identify & Plan AI Workflows

00:11:36 - Building a "Second Brain" Morning Routine

00:17:48 - Automating Job Searches with Claude Code

00:22:03 - Managing Context with Claude.md Helper Files

00:31:55 - Making AI Agents Reliable with Deterministic Scripts

00:43:27 - How to Start Building Coding Agent Workflows

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Tool Use is a weekly conversation with the top AI experts.

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AI Agents, RAG hype, and the "Impossible Triangle" of LLM Infrastructure take center stage in this deep dive with Swyx (Shawn Wang). As the co-founder of AI Engineer and a team member at Cognition, Swyx breaks down why vertical agents are the golden opportunity for developers right now. We explore the decline of standalone vector databases, the rise of MCP vs. Computer Use, and why your prompts shouldn't live in your codebase. Whether you are building AI tools or trying to scale them, this conversation covers the essential shift from "vibe coding" to serious engineering using AI Gateways and proper evaluations.

Swyx's Website: https://www.swyx.io/

Read the Impossible Triangle of LLM Infra: https://www.swyx.io/impossible-triangle

Latent Space: https://www.latent.space/

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00:00:00 - Intro

00:04:03 - Why Agentic Browsers Haven't Stuck Yet

00:05:33 - Voice vs Slack: The God Interface

00:11:24 - Why MCP Won & The Reality of Integrations

00:18:27 - The Vector Database Hype Cycle

00:20:37 - Why You Should Build Vertical AI Agents

00:30:03 - Stop Putting Prompts in Your Codebase

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Tool Use is a weekly conversation with the top AI experts.

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Explore AI risk mitigation, prompt injection dangers, and AI safety in this deep dive with AI engineering consultant Kyle Clark. We discuss the critical role of human-in-the-loop systems, safe AI implementation strategies for businesses, and the hidden dangers of AI web browsers and context rot. Kyle shares expert insights on leveraging AI tools like Claude Code, managing subagents, the pitfalls of MCP servers, and the build vs. buy debate for AI models. Learn how to use AI safely in your personal life and what companies must do to prepare for an AI transformation, including data governance and permissions management.

Keep up with Kyle Clark

https://www.linkedin.com/in/kyle-clark-tech/

Simon Willison's "The Lethal Trifecta"

https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/

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00:00:00 - Intro

00:00:49 - The New Plane of AI Risk & Prompt Injection

00:10:30 - How Businesses Can Implement AI Safely

00:13:21 - Human in the Loop & Claude Code

00:17:18 - Using Subagents as a Mitigation

00:31:03 - The Build vs. Buy Debate for AI Models

00:36:06 - What is Context Rot (And Why It Matters)

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Tool Use is a weekly conversation with the top AI experts.

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In 2026, building an AI product is easier than ever, but getting traction and finding customers is the real challenge. In episode 82 of Tool Use, we sit down with Mano Tsiris, a serial exited founder and head of growth at Optimal AI, to break down the ultimate go-to-market strategy for technical founders and builders. Discover how to validate your startup ideas and talk to users before writing a single line of code. Mano shares his proven marketing playbook, including how to build in public on LinkedIn, repurpose content using AI tools like Gemini and Claude Code, and leverage IRL events to grow your network. Whether you are bootstrapping a side project or trying to get your first hundred users, this conversation is packed with actionable advice on distribution, audience building, and standing out in a crowded market.

Mano Tsiris on LinkedIn: https://www.linkedin.com/in/emanueltsiris

Optimal AI: https://getoptimal.ai

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00:00:00 - Intro

00:03:53 - Mindset Shift: From AI Builder to SaaS Seller

00:09:21 - Building in Public & Thought Leadership Strategies

00:11:21 - Repurposing Content & SEO with AI Tools

00:22:12 - A/B Testing & Finding Viral Hooks with Gemini

00:26:56 - Startup Ideation: How to Validate SaaS Ideas Before Building

00:37:02 - The Ultimate AI Marketing Tech Stack for Founders

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Tool Use is a weekly conversation with the top AI experts.

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Master n8n workflow automation in this complete guide. If you're tired of manual tasks, n8n (an open-source Zapier alternative) might be the solution. Richardson Dackam, founder and AI builder, joins Mike to explore how developers can save time using n8n. We dive into powerful use cases like email management, social media automation, and prototyping. Learn how to integrate AI models (OpenAI, Anthropic, Gemini), run custom code scripts, use webhooks, connect to databases, and implement human-in-the-loop validation. Richardson also shares common pitfalls, observability strategies, and the difference between self-hosting and the cloud.

Learn more from Richardson:

https://richdackam.com

https://www.nshipyard.com

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00:00:00 - Intro

00:00:32 - What is n8n? (Open-Source Automation)

00:02:23 - Common n8n Use Cases (Email, Social Media)

00:03:36 - Automating Email: AI Tone & Human in the Loop

00:07:02 - Observability, Logging, and Error Handling

00:22:00 - Using Custom Code & JavaScript Nodes

00:29:50 - n8n Cloud vs. Self-Hosting (Features & Security)

00:37:01 - How to Get Started with n8n (Beginner's Roadmap)

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Is your RAG (Retrieval-Augmented Generation) pipeline optimized, or is it even necessary? We all know context is king for LLMs, but large context windows might not be the answer. On Episode 63 of Tool Use, we deep dive into RAG with Apurva Misra, founder of Sentick. We explore the entire RAG workflow, from creating and optimizing embeddings to choosing the right vector DB (like Postgres with PG Vector). Apurva explains the critical role of re-rankers , the power of hybrid search (combining semantic and keyword search) , and when to consider agentic RAG. We also cover the essential steps for taking your RAG system to production, including data quality, feedback loops , and safety guardrails.

Connect with Apurva Misra:

LinkedIn: https://www.linkedin.com/in/misraapurva/

Consulting: https://www.sentick.com/

Website: https://apurvamisra.com/

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00:00:00 - Intro

00:01:18 - What is RAG (Retrieval-Augmented Generation)?

00:03:41 - Is RAG Dead? Large Context Windows vs. RAG

00:06:40 - The RAG Workflow: Embeddings, Chunking & Vector DBs

00:28:00 - Do You Need a Re-Ranker?

00:41:24 - Production RAG: Safety, Guardrails & Efficiency

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Tool Use is a weekly conversation with the top AI experts, brought to you by ToolHive.

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Unlock the power of AI for personalization at scale in your business. While many focus on AI for efficiency, the real game-changer is creating magical, more human digital experiences for your customers. We're joined by Lee Russell, founder of Minimum Viable Launch and an AI expert with over a decade of experience, to discuss how you can leverage AI to be both "high tech and high touch," transforming your marketing, sales, and product delivery.

Discover the concept of "context engines" and learn why gathering qualitative customer data is your new competitive moat in the age of AI. We explore the tools you need to build this infrastructure, from powerful automation platforms like n8n to the magic of vector databases for chatting with your unstructured data. Lee also shares his strategies for avoiding generic "AI slop" and creating truly unique, high-quality outputs that will make your customer experience remarkable.

Learn more from Lee Russell:

https://www.minimalviablelaunch.io/

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00:00 - Intro

01:27 - "High Tech, High Touch": Personalization at Scale Explained

07:55 - The Best Data for AI Personalization

12:03 - How to Avoid Creating "AI Slop"

21:15 - AI Tools for Building Custom Agents (n8n & Vector DBs)

30:37 - How to Start Learning and Escape "Tutorial Hell"

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Struggling to cut through the AI hype to find real operational efficiency for your business? In this episode, we're joined by Csongor Barabasi, CEO of Bonsai Labs, an AI value creation partner for private equity firms. Csongor shares his expert framework for deploying AI agents to achieve massive productivity gains.

Learn the practical steps to progress from a simple AI co-pilot to a fully autonomous AI agent , and discover how to create a 'golden data set' and feedback loops to make your systems smarter over time. We cover the critical build vs. buy debate , strategies for process automation , data security considerations , calculating ROI for AI projects , and enabling non-technical teams to build custom workflows. This is your ultimate guide to using AI for tangible business results.

Csongor is the founder/CEO of Bonsai Labs, a specialized AI transformation and value creation firm working with Private Equity portfolio companies. With engineering excellence at it's core, the they deliver AI workflow automations and build custom AI products with tangible impact within weeks.

Bonsai Labs: https://bonsai-labs.com
Csongor: https://linkedin.com/in/barabasicsongor

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00:00:00 - Intro

00:02:40 - The Framework: Co-Pilot to Fully Autonomous Agent

00:11:26 - AI Solutions: The Build vs. Buy Debate

00:16:03 - AI for Non-Technical Teams

00:27:40 - How to Document a Process for Automation

00:31:36 - How to Measure the ROI of AI

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Coding agents are revolutionizing software development, but are you getting the most out of them? Many AI coding tools struggle with complex, long-running tasks, often getting lost in the middle of a project. In this episode of Tool Use, we sit down with Kiran, one of the core contributors to Slate, a research-driven coding agent built for the toughest production-level challenges.

Kiran shares a deep dive into how to properly set up your dev environment to maximize the performance of any coding agent. We discuss the critical role of feedback loops, clear development pipelines, and consistent codebase patterns in getting correct, reliable code from LLMs. You'll learn why models are great at following patterns but terrible at creating them, and how to structure your projects for AI success. We also explore what makes Slate different, including its unique approach to context management that keeps it on track during complex tasks, preventing the performance degradation common in other agents.

Find Slate here:

https://randomlabs.ai/

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00:00:00 - Intro

00:00:54 - Setting Up Your Dev Environment for AI

00:15:18 - Is Software Engineering Dead?

00:18:20 - Why Coding Agents? The Origin of Slate

00:21:52 - What Makes Slate Different?

00:33:19 - The Bottleneck: LLMs vs Tooling

00:44:30 - Why LLMs Get "Lost in the Middle"

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Unlock the power of AI for your business, even if you're not a tech expert. In this episode, AI strategist Marni Wills reveals how non-technical founders can leverage AI as a new operating system to amplify their intelligence. Learn to build powerful AI workflows, create your own AI operating system, and personalize tools like ChatGPT, Claude, and Perplexity for massive business growth. Marni breaks down her exact process for using AI agents, developing custom instructions to avoid hallucinations, and building a "second brain" to automate tasks from email marketing to securing podcast interviews. This is your guide to making AI work for you, strategically, not technically.

Connect with Marni Wills:

LinkedIn: https://www.linkedin.com/in/marnie-wills-entrepreneur

Website: https://businesswithaistrategist.com/

Instagram: https://instagram.com/businesswithai_strategist/

Digital Store: https://stan.store/business_with_ai_strategist

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00:00:00 - Intro

00:02:19 - First Steps for Non-Technical Founders

00:08:13 - How to Avoid AI Hallucinations

00:11:04 - Building a Custom Prompt Library

00:27:17 - AI Agents vs. Automation (Lindy vs. Make)

00:32:48 - Creative AI Workflows You Haven't Thought Of

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Are you ready for AI agents to browse the web? We explore the future of AI agent authentication, web security, and API design in this deep dive. As AI agents proliferate, critical questions arise: how do we handle security without giving an agent your password? How can we make websites optimized for agent consumption? We're joined by Bobbie Chen, a product manager at Stytch specializing in bot and AI agent detection, to discuss the risks and opportunities.

We cover how OAuth can provide safer, scoped permissions for agents, and the emerging open standard Web Bot Auth, which allows agents to cryptographically prove their identity. Bobbie breaks down Simon Willison's "lethal trifecta" of AI security risks and discusses strategies for mitigating malicious behavior. We also touch on the future of AI SEO, how API design must evolve for a hybrid human-agent world, and the potential impact of agents on web monetization and advertising.

Learn more from Bobbie Chen:

Stytch supports Web Bot Auth: https://stytch.com/blog/stytch-supports-web-bot-auth

Stytch Connected Apps (OAuth for AI agents): https://stytch.com/connected-apps

Stytch Fraud and Risk Prevention: stytch.com/fraud

AGI Builders Meetup: https://luma.com/agibuilders

IsAgent SDK for agent identification: https://IsAgent.dev

Additional Resources from the episode:

Simon Willison's lethal trifecta: https://simonwillison.net/2025/Jun/16/the-lethal-trifecta

IETF Web Bot Auth: https://datatracker.ietf.org/doc/bofreq-nottingham-web-bot-auth/

Jon Postel as "benevolent dictator" of IANA: http://memex.org/meme4-01.html

Freestyle Cloud: https://www.freestyle.sh

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00:00:00 - Intro

00:03:25 - The Risks of AI Agents Browsing the Web

00:07:14 - A Bot Registry vs. Open Protocols

00:18:04 - How AI Will Change Web Monetization & Ads

00:35:03 - The "Lethal Trifecta" of AI Security

00:41:25 - Practical Advice for Website Owners & Agent Devs

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Master advanced prompting techniques and meta prompting in this deep dive into AI context engineering. As AI models evolve, the way we interact with them becomes more critical than ever. Prompting is no longer about simple questions; it's a skill that separates mediocre results from magical ones. In Episode 57, we're joined by Michael Tiffany, founder and CEO of Fulcra, and AI consultant Ty Fiero to explore the strategies that unlock an AI's full potential.

Discover why prompts are more important than ever, how to tailor your requests for specific models like GPT-5 and Claude, and why a "high agency" attitude is the key to getting great outputs. We discuss practical methods like iterative prompting, using one AI to critique another's work, and asking the model itself how to create the perfect prompt. Learn how to avoid AI sycophancy, the power of multimodal prompting with images, and how to right-size tasks for complex projects. Whether you're a developer using vibe coding or just want to get better answers from ChatGPT, this conversation will change how you talk to AI.

Guests:

Michael Tiffany, Founder and CEO of Fulcra

https://www.fulcra.ai

https://x.com/kubla

Ty Fiero, AI Consultant

https://x.com/FieroTy

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00:00:00 - Intro

00:06:02 - The High-Agency Prompting Mindset

00:10:36 - Techniques for Reducing AI Bias

00:19:10 - Meta-Prompting: Having AI Write Your Prompts

00:23:12 - How to Build Prompting Intuition

00:30:00 - AI for Spec-Driven Development

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Build full-stack apps from a single prompt with Fastable, the revolutionary AI tool from AI consultant Richard Abrich. In this episode, we dive deep into how you can go from an idea to a deployed web application using AI, and learn how Richard built the tool to accelerate his own development workflows.

Richard shares his expert approach to context engineering, hallucination mitigation, and creating a powerful feedback loop by piping logs directly into the AI agent to debug and iterate faster than ever. We explore Fastable's tech stack (FastAPI, Python, React, Postgres) and how it offers a more flexible, vanilla alternative to tools like Lovable, giving developers the control they need. If you're interested in AI-powered development, the future of disposable software, or building your own tools to solve real problems, this is a conversation you can't miss.

Try Fastable for yourself: https://fastable.dev

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00:00:00 - Intro

00:03:57 - Fastable's Tech Stack vs Lovable

00:07:33 - Context Engineering for Non-Technical Users

00:17:32 - Fastable Demo

00:31:08 - Mitigating AI Hallucination

00:45:53 - The Future of Disposable Software

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Tool Use is a weekly conversation with the top AI experts, brought to you by ToolHive.