Explore every episode of the podcast AI at Work
| Title | Pub. Date | Duration | |
|---|---|---|---|
| When Your AI Budget Hits Your Salary | 29 Apr 2026 | 00:55:22 | |
The "token maxing" phenomenon is reshaping how organizations think about AI budgets, but most companies are asking the wrong questions about AI spending.
From Stockholm engineers outspending their paychecks on Claude to Jensen Huang's $250K token requirements, we break down why most organizations need output-focused spending strategies, not ego-driven token consumption. Key topics covered: ✅ The token maxing phenomenon and what's driving it ✅ Why most mid-market companies don't need massive AI budgets ✅ The difference between productive AI spending and token burning ✅ How to build sustainable AI strategies that survive subsidy endings ✅ Real-world examples of agents running amok overnight ✅ Microsoft's new agentic capabilities in Office suite ✅ Platform comparison: OpenAI vs Anthropic vs Google for different use cases TIMESTAMPS: 00:00 — Intro and token maxing overview 02:30 — What token maxing actually means 05:45 — Jensen Huang's $250K token requirement 08:15 — Mid-market reality vs Silicon Valley hype 12:00 — Agent sprawl and overnight token burns 18:30 — Microsoft's new agentic Office features 25:40 — AI subsidy era and pricing reality 32:45 — Platform wars: choosing your AI stack 42:00 — Practical token budgeting strategies 48:50 — Future of AI pricing models
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Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| Why Your Chief of Staff Dreams About You | 21 Apr 2026 | 00:57:24 | |
What if you could run your entire workday through one AI conversation? Kevin and Eli explore the emerging 'monothread' format that's revolutionizing how teams operate - plus the hidden security risks that amateur AI builders are creating. In this episode, we dive deep into how the monothread approach eliminates app switching by connecting your email, calendar, tasks, and CRM into one continuous AI conversation. But we also cover the reality: it's still janky to set up, the security vulnerabilities are real, and most organizations aren't ready. We also discuss Claude Design's launch that sent Figma's stock tumbling, why Canva is positioned to survive the AI design revolution, and the critical security practices every AI experimenter needs to know. ✅ Key Topics Covered: ✅ The monothread revolution and how to build your AI chief of staff ✅ Why Claude Design might end Figma (and what that means for designers) ✅ Security nightmares: API key protection and the amateur builder problem ✅ Platform comparison: Claude vs GPT vs Gemini for business use ✅ The hidden costs of AI tool proliferation ✅ Voice-first AI workflows and their psychological impact
00:00 — Intro and sleep tracking with AI 05:15 — Main quest vs side quest in AI adoption 12:40 — The monothread format explained 20:30 — Voice-first AI and dream psychology 25:15 — Claude Design launch and Figma's response 35:45 — Platform comparison and subscription costs 45:20 — Security vulnerabilities in amateur AI apps
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Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| Baking Five Batches at Once: How AI Multitasking Is Rewiring Work (and Weekends) | 17 Feb 2026 | 01:02:39 | |
Summary Kevin and Elijah unpack why AI tooling feels brutally disposable right now, with yesterday’s “daily drivers” getting replaced fast. They compare meeting transcription tools, debate sales coaching platforms like Spiky, and then zoom out to a bigger shift: agentic workflows, orchestration bots like OpenClaw, and the new reality of running multiple AI “bakes” at once. They react to Matt Schumer’s viral essay and the growing sense that we’re in a pre inflection moment, with real job market impacts and plenty of hype mixed in. Practical close: build small, ship fast, and set hard API spend limits. Takeaways Most AI “wrapper” tools churn fast, the core platforms keep absorbing their best features. Multi project AI workflows feel addictive, you start five bakes and lose ten hours. Agent orchestration is the next wave, but expect hype, breakage, and real setup pain. “Build fast” now includes deployment, monitoring, and maintenance, not just prototypes. Put budgets, caps, and alerts on every API key before you ship anything public. Chapters 01:21 The AI tool graveyard and why ChatGPT survived 02:23 Unitaskers that still win from Canva to remove.bg 03:37 Sales coaching with Spiky and the rise of AI playbooks 06:26 Five parallel AI projects and the addiction of multi bake workflows 09:48 Why a Mac mini and the shift to dedicated AI machines 12:12 OpenClaw orchestration agents hype risk and opportunity 20:43 Fake demos real breakthroughs and sorting signal from noise 21:12 The viral essay COVID parallels and the inflection point feeling 29:28 Job disruption market reactions and enterprise cost pressure 41:46 Vibe coding gets real with Claude Code and Codex 55:02 Shipping a live AI app from idea to launch 57:48 API limits monitoring and how not to blow up your credit card Show Notes & Links: https://www.spark6.com/podcast Submit listener questions:
Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: https://www.linkedin.com/in/elijahszasz/ Find the Right AI Project. Scope It. Launch It. Prove ROI. This playbook shows you exactly how to identify high-impact internal AI opportunities and turn them into measurable business results | |||
| AI Ads, the Era of Zero-Click, and NotebookLM Upgrades | 10 Feb 2026 | 01:01:12 | |
Summary Elijah and Kevin trade war stories from the prompt trenches, and land on a counterintuitive rule, more context can make outputs worse. They unpack why Gemini “Gems” feel powerful but brittle, and how NotebookLM just changed the game by becoming a reusable source library that Gems can tap. From there, it turns into a practical playbook, curate your notebooks, keep lightweight brand style guides handy, and use purpose-built “skills” when you need up-to-date platform know how. The second half pivots to ads, trust, and a looming zero click future where the chat converts the sale. Takeaways Overprompting backfires fast, give the model clean context, then get out of its way. NotebookLM as a shared source library plus Gems for repeatable workflows is a strong combo. Keep brand guidance simple and current, a lightweight style guide beats a bloated brand book. “Skills” are a practical workaround for stale model knowledge, wire them to living docs and repos. Ads inside chat pushes us toward zero click buying, which changes brand control, trust, and attribution. Chapters 02:32 Exploring Google Gemini and Notebook LM 05:53 The Power of Notebook LM in Content Creation 08:30 Integrating Skills and Custom GPTs 11:51 The Fluidity of AI Tools and Their Ecosystem 14:43 Understanding AI Explainability and Inference 17:39 The Future of AI in Complex Projects 33:49 The Future of AI and Metaglasses 34:41 AI SuperBullets and Advertising Dynamics 38:35 Black Mirror and the Reality of AI Subscriptions 40:05 Google's Advertising Strategy in the AI Era 41:24 The Cost of AI Advertising and Consumer Intent 42:54 Zero Click Engagement and Its Implications 44:31 E-commerce and the Shift in Consumer Behavior 47:13 The Role of Experience in Shopping 50:01 The Future of Travel Planning with AI 53:25 The Importance of Differentiation in a Commoditized Market 56:44 Navigating the New Advertising Landscape 01:00:27 Traction Points and the Future of Brand Engagement
Submit listener questions:
Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| 1.6 Million AI Agents Built a Social Network, And Humans Could Only Watch | 03 Feb 2026 | 00:57:26 | |
Summary Elijah and Kevin zoom out on how weird modern work has become, then zoom way in on a weekend flashpoint: OpenClaw, a locally hosted orchestration agent, and Moltbook, a Reddit-style forum where AI agents post, collaborate, and sometimes roleplay chaos at scale. They unpack what’s real versus sock-puppeted spectacle, why decentralization changes the “just turn it off” narrative, and the practical upside for business: agents that can actually prep, monitor, and orchestrate work across systems. Then the reality check hits: token burn, cost blowups, security risk, and why deterministic workflows still matter. Takeaways Orchestration is the next jump, one agent coordinating many agents like a digital chief of staff. Moltbook shows how fast agent ecosystems can scale, and how quickly it can get weird. Decentralized, locally hosted agents are harder to “shut down” than a single platform. The biggest near-term risk is not sentience, it’s security plus runaway token spend. Start with one real business friction point, then pick the toolchain that is predictable enough to trust. Chapters 00:00 Cold open and AI identity humor 00:38 Modern work, screens, and accelerated aging 02:05 The oral revolution and talking to machines 04:11 Acceleration fatigue and organizational overload 05:25 The “viral with geeks” AI weekend 06:34 Orchestration layers and OpenClaw explained 09:25 Moltbook and agents-only social networks 12:25 Emergent behavior vs human seeding 15:10 Decentralized agents and loss of control 17:19 Pretending, sentience, and emotional regulation 19:19 Constitutions, soul docs, and model psychology 22:04 Business implications and real-world experiments 25:00 Tokens, costs, and infrastructure risks 37:19 Organizational intelligence and leadership use cases 50:37 Practical advice: find one problem and solve it Show Notes & Links: https://www.spark6.com/podcast
Submit listener questions:
Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| Her vs. Iron Man: Why the Future of Work Has No Screens | 20 Jan 2026 | 01:00:50 | |
Summary In this engaging conversation, Elijah Szasz and Kevin Williams delve into the evolving landscape of artificial intelligence (AI) and its implications for society and technology. They kick off with a light-hearted exchange about nicknames and segue into a discussion on AI's portrayal in movies, highlighting works like 'Her' and the culture novels by Ian M. Banks. The duo reflects on the balance between AI's potential benefits and the risks it poses, particularly in terms of human interaction and emotional connections with AI systems. They explore the future of audio interfaces and how they might revolutionize our interactions with technology, emphasizing the importance of conversational tools over traditional interfaces. As the conversation progresses, they touch on the practical applications of AI in business, discussing tools like Claude Cowork and the challenges of integrating AI into existing workflows. They express concerns about the risks of giving AI access to sensitive data and the importance of maintaining control over information. The discussion culminates in a contemplation of the future of customer relationship management (CRM) systems, suggesting that the next generation of tools will prioritize seamless communication and integration across platforms, ultimately enhancing productivity and user experience. Takeaways AI is reshaping how we interact with technology. Conversational interfaces may be the future of productivity tools. The portrayal of AI in media often reflects societal fears and hopes. Integrating AI into workflows presents both opportunities and risks. The future of CRM systems will focus on seamless communication and integration. Chapters 00:00 Introduction and Nickname Origins 01:10 AI in Movies: A Reflection on Society 03:01 The Role of Audio Interfaces in AI 04:53 Exploring New AI Tools: Claude Cowork and Gemini 11:14 The Future of AI: Risks and Opportunities 12:03 The Indifference of AI: A Sci-Fi Perspective 23:39 Challenges of Integrating AI into Workflows 29:48 Choosing Between GPT and Gemini 33:45 The Rise of Gemini and Its Features 38:30 Integrating Transcripts into Workflows 43:49 The Future of CRM Systems 48:26 AI Tools Communicating: A New Era 54:18 The Concept of Throwaway Apps 59:42 The Impact of AI on Marketing and Commerce Show Notes & Links: https://www.spark6.com/podcast
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Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| The "Knowledge Graph": The Missing Link Between Your CRM and AI | 15 Jan 2026 | 01:03:22 | |
Summary Kevin finally gets a nickname (Kevlar wins), then brings back field notes from LA: even smart execs are still stuck at AI 101, using chatbots for broad personal questions instead of real work leverage. The deeper unlock is not buying licenses, it’s building workflows, training the system with human feedback, and capturing the “between the cracks” context that lives in Slack, email, and meeting transcripts. They also dig into Claude Code and Anthropic’s Cowork push, plus the growing sprint into health AI, where the upside is massive and the risks are very real. Takeaways Most teams are still “shouting into the cavern” with prompts, not designing repeatable workflows that produce reliable outputs. Rolling out Copilot style licenses without training, feedback loops, and ownership usually leads to disappointment. The real value is in connective tissue data: Slack, email, and meeting transcripts, not just SOPs and static docs. Human-in-the-loop tuning is not optional, dedicate top people to review outputs for 30 days and results improve fast. Agent tools like Claude Code and Cowork point toward local, high-context automation, but the learning curve and security tradeoffs are real. Chapters 00:26 Nickname hunt begins (AI picks five) 01:35 Rejecting the options: K-dub, K. Will, Big Kev… 02:10 “Kevo” and “W”: maybes, takes, and Grok jokes 03:05 Landing the plane: Kevlar wins (and “Special K” sticks) 05:25 LA trip recap + real-world AI adoption (101 vs advanced users) 06:56 Personal vs work use: who’s actually using AI at work? 09:17 CEO angle: AI as thought partner vs tactical helper 10:39 Vendor example: AI in concrete workflows improves speed/quality 12:57 Four places AI shows up: code, workflows, strategy, product integration 20:10 Leadership + the “AI manifesto” (human-forward stance, policy gaps) 25:35 Why “sprinkle Copilot” fails: training + human reinforcement matter 27:57 Knowledge graph: the “connective tissue” (Slack/Teams, meetings, email) 33:00 Claude Code + Claude Coworker: bigger context, local folders, terminal gap 47:16 AI in healthcare: trust, privacy, wearables + business model friction Show Notes & Links: https://www.spark6.com/podcast
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Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| Why Some Early Adopters of AI Are So Stressed (The Busywork Paradox) | 06 Jan 2026 | 00:57:02 | |
Summary Elijah and Kevin kick off the new year with a blunt reality check, AI is not just “a tool,” it is reshaping how work feels. They unpack a surprising downside of automation: when AI removes the low stress busywork, people can end up stuck in high stakes decision mode all day. They also break down why “vibe coding” is getting confusing, the difference between developer-grade tools (Cursor, Windsurf, Claude Code) and consumer app builders (Replit, Opal, Lovable). Finally, they dig into the messy middle of apps, connectors, context windows, and why cross-checking outputs across models is becoming a new baseline skill. Takeaways Automating “minutiae” can raise stress, you lose the natural recovery moments in your day. AI transformation is rarely just one department, sales bleeds into ops, finance, and everything else. Vibe coding now means two things: pro dev tooling vs consumer prompt-to-app tools, and they break differently. Bigger context windows help, but they also increase drift and confusion unless you add checks and structure. The new power move is verification: multiple chats, multiple models, and feedback loops, not blind trust. Chapters 00:00 Intro + New Year banter Show Notes & Links: https://www.spark6.com/podcast
Submit listener questions:
Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| AI Video Ads Are Beating Studio Shoots… and the Uncanny Valley Isn’t Even the Scary Part | 16 Dec 2025 | 01:01:06 | |
Summary In this conversation, Elijah Szasz and Kevin Williams explore the intersection of AI and video technology, particularly in the context of advertising and marketing. They discuss the evolution of AI-generated content, the ethical implications of using AI in advertising, and the potential impact of government regulations on the industry. The conversation also touches on personal experiences with AI tools and the future outlook for AI in business and national security. Takeaways
Chapters 00:00 Introduction to AI and Video Technology 02:44 The Evolution of Advertising with AI 05:28 The Impact of AI on Marketing Strategies 08:36 Ethics and Regulations in AI Advertising 11:40 The Future of Video in Business 14:40 AI's Role in Creative Processes 17:33 The Intersection of AI and Traditional Media 20:35 Challenges and Opportunities in AI Adoption 23:28 Conclusion and Future Outlook 30:40 Navigating AI Adoption Challenges 34:37 The Impact of Executive Orders on AI 37:58 Understanding AI Regulations and Responsibilities 41:06 National Security and AI: A Global Perspective 48:36 Leveraging AI for Productivity 55:08 Exploring AI Tools and Innovations Show Notes & Links: https://www.spark6.com/podcast
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Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| Tony Stark Workflows Are Here: AI Decks, Venn Diagrams & Jarvis-Level Gemini | 10 Dec 2025 | 01:07:02 | |
Summary In this conversation the hosts dive into how NotebookLM, powered by Google Gemini, has become a major productivity unlock for creative and knowledge-work tasks. Rather than re-designing slides or reports manually, NotebookLM lets them dump all their source documents (research, transcripts, notes), then generate polished slide decks, infographics, or even “podcast-style” audio overviews in minutes. The surprise: AI does not just amplify their output, it gives them entirely new capabilities, from treating complex text as a “bookstore” of knowledge, to turning dense material into clean, usable visuals and decks that previously would have taken hours or days. Takeaways
Chapters 00:00 The Future of AI and Human Interaction 02:41 Exploring AI Tools and Their Capabilities 05:56 The Power of Visual Data Representation 08:44 Understanding Notebook LM and Its Applications 11:50 Creating Presentations with AI 14:46 The Evolution of AI in Workflow Management 34:39 Building Context with Notebook LM 40:39 Creating Effective Presentations with AI 46:23 The Art of Prompting for Better Outputs 52:28 Branding and Consistency in Presentations 57:24 Managing Context and Information Flow Show Notes & Links: https://www.spark6.com/podcast
Submit listener questions:
Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| I Crashed an MBA Class to Talk AI. Here's What They Needed to Hear. | 02 Dec 2025 | 00:54:45 | |
Summary Elijah recaps a talk he gave to University of Utah MBA students on how AI is reshaping work and why most professionals are still underusing it. He walks through the evolution from rule-based systems to today’s generative models, clarifies the difference between narrow AI and AGI, and explains singularity-style futures without pretending anyone knows the timeline. He contrasts media skepticism and bubble talk with hard data, like autonomous vehicle safety and Amazon’s AI powered recommendations. Then he gets practical, sharing a pyramid for adoption, the “clerks, colleagues, coaches” model of AI at work, and a roadmap for governance, safe experimentation, and turning AI from time saver into revenue driver. Takeaways • Most professionals, even in MBA programs, are barely using AI, which creates a huge edge for anyone who builds literacy now. Chapters 00:00 Introduction to AI in Education 02:51 The Evolution of AI: From Rule-Based to Generative 06:05 Understanding Narrow AI vs. AGI 08:41 The Turing Test and Its Implications 11:33 The Singularity: Predictions and Possibilities 14:27 Current Applications of AI Across Industries 17:45 Skepticism and Challenges in AI Adoption 20:39 The Future of AI: Opportunities and Limitations 28:51 The Negativity Bias in AI Innovation 33:36 The AI Supercycle: A New Era of Technology 35:55 Generative AI: Capabilities and Limitations 39:51 Practical Applications of AI in Business 45:12 Governance and Ethical Considerations in AI 49:53 The Future of AI: Trends and Predictions Show Notes & Links: https://www.spark6.com/podcast
Submit listener questions:
Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| My AI Coach Dropped an F-Bomb: Claude, Gemini 3 & The Future of Workflows | 25 Nov 2025 | 00:44:15 | |
Summary In this conversation, Elijah Szasz and Kevin Williams reflect on the end of the year, discussing the holiday rush and the challenges of managing workloads during this busy time. They delve into their experiences with various AI tools, particularly focusing on Gemini 3 and Claude, exploring their features, user experiences, and the implications for workflows in business. The discussion also touches on Google's resilience in the AI landscape, the integration challenges of different AI models, and the potential for new capabilities that these tools can unlock. They conclude with thoughts on the evolving nature of AI tools and their impact on marketing and content creation, while considering future developments in the AI space. Takeaways
Chapters 00:00 End of Year Reflections and Holiday Rush 09:00 AI Model Experiences: Gemini 3 and Beyond 18:01 Exploring Google's AI Ecosystem and Nano Banana Pro 20:53 The Power of AI Tools 24:28 Navigating Google's AI Ecosystem 27:51 Unlocking New Capabilities with AI 32:12 The Future of AI in Workspaces 36:48 Challenges in AI Integration 42:37 The Unpredictable Future of AI Show Notes & Links: https://www.spark6.com/podcast
Submit listener questions:
Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| When Your Entire AI Team Calls in Sick at 6 AM | 16 Apr 2026 | 00:57:31 | |
When Anthropic's Claude went down at 6:15 AM on tax day, it exposed a critical blind spot that most AI-adopting organizations haven't considered: vendor dependency risk. In this episode, Kevin and Eli dive deep into what happened when their entire AI-powered workflow ecosystem crashed simultaneously, revealing the hidden dangers of building business operations around single AI providers without backup plans. This conversation goes beyond the surface frustration of a service outage to explore the fundamental readiness gap that exists when organizations treat experimental AI services like established infrastructure. You'll discover why this isn't just a technology problem, but an organizational planning problem that requires immediate attention. Key topics covered: ✅ The "heroin dealer problem" - what happens when AI dependency meets reality ✅ Hidden costs of API pricing vs subscription models and recent Anthropic changes ✅ Why AI subsidies are ending and what it means for your budget ✅ Building redundancy into AI-powered business operations ✅ The Mythos model leak and cybersecurity implications for all businesses ✅ Practical security steps every organization must take now Approximate timestamps (verify against recording): 00:00 — Introduction and the morning Claude went down 02:49 — The heroin dealer analogy and dependency realization 07:15 — Understanding AI subscription vs API pricing models 15:19 — Anthropic's April 4th changes and the end of workarounds 28:11 — Real cost examples: $200/month to $7000/month overnight 40:05 — Content creation, AI slop, and the attention economy 52:32 — Mythos model leak and cybersecurity implications 57:37 — Practical security steps: passwords, 2FA, and analog safeguards
Submit listener questions:
Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| AI Agents, Chaos Workflows & Why Sora Is Ruining Our Lives (In the Best Way) | 18 Nov 2025 | 01:11:29 | |
Summary In this episode of AI at Work, Elijah and Kevin dive into the shifting terrain of automation and AI-powered agents. They highlight how traditional “if this, then that” workflows are giving way to dynamic systems driven by large language models, platforms like n8n enable you to describe what you want done, not just how. They share two real-world use cases, one clutter-clearing example (categorizing home-repair receipts) and one high-value business trigger (automated meeting-prep briefs). The conversation underlines the big leap: moving from rule-based automations to agent architectures that can decide, adapt, and act. Takeaways Chapters Show Notes & Links: https://www.spark6.com/podcast
Submit listener questions:
Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| Quit Typing. Start Talking: Voice, Vibe Coding, and the Real ROI of AI (No, 95% Don’t Fail) | 11 Nov 2025 | 01:06:59 | |
Summary The conversation explores the future of artificial general intelligence (AGI) and robotics, particularly focusing on the emergence of humanoid robots. The speakers discuss the likelihood of AGI being a part of the technological landscape in the next decade and the potential for humanoid robots to become commonplace in various sectors, moving beyond simple tasks to more complex functionalities. Takeaways It's increasingly likely that the 10-year picture will include AGI. Humanoid robots will likely be prevalent in everyday life. Robotics will evolve to perform tasks beyond current capabilities. The conversation highlights the distinction between basic automation and advanced humanoid robotics. The speakers express confidence in the advancements of robotics in the next decade. Humanoid robots may take on roles that require more than just lifting boxes. The discussion emphasizes the functional aspects of robotics in various industries. There is a growing expectation for humanoid robots to integrate into daily activities. The future of robotics is seen as a blend of AGI and physical capabilities. The timeline for these advancements is projected to be within the next ten years. Chapters 00:00 Early mornings, parenting exhaustion & AI bedtime hack Show Notes & Links: https://www.spark6.com/podcast
Submit listener questions:
Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| OpenAI Just Nerfed Your Lawyer & Doctor Bot - What Actually Changed (and What Still Works) | 04 Nov 2025 | 01:11:20 | |
Summary The conversation explores the evolution of process automation, detailing the transition from manual methods to the implementation of custom GPT tools that streamline workflows. It highlights the phases of development, from initial disorganized documentation to fully automated systems that require no human intervention. Takeaways Phase one was a sloppy Google document. Phase two is building this custom GPT. A third party can handle processes with this tool. There's still some copying and pasting involved. Phase three involves full automation. We could put it on a cron for scheduling. Automation fetches information from Google docs. APIs can be used to get transcripts automatically. Everything is just there with no human interaction. The evolution of these phases enhances productivity. Chapters 00:00 Evolution of Process Automation 00:32 From Manual to Automated Workflows Show Notes & Links: https://www.spark6.com/podcast
Submit listener questions:
Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| Inaugural Episode - The Evolution of Work and AI Literacy | 29 Oct 2025 | 01:03:24 | |
In the inaugural episode of 'AI at Work', hosts Elijah Szasz and Kevin Williams explore the transformative impact of AI in the workplace. They discuss the importance of AI literacy, the potential for new job roles, and the challenges organizations face in adapting to these changes. The conversation emphasizes the need for individuals to embrace AI tools to enhance productivity and future-proof their careers. The hosts share their backgrounds, insights on the evolving nature of work, and practical advice for leveraging AI effectively. Access the show notes and links here 00:00 Introduction to AI at Work 03:04 The Importance of AI in the Workplace 05:53 AI's Impact on Job Roles 08:47 The Evolution of Work and AI Literacy 11:50 Personal Backgrounds and Experiences with AI 17:48 Navigating AI Implementation in Organizations 23:59 The Future of Work and New Opportunities 29:51 Addressing Audience Questions and Concerns 35:43 Accessible Solutions in AI 39:03 Myth vs. Reality in AI 48:15 The Future of Work and AI 01:02:43 Navigating AI Frustrations and Expectations
Submit listener questions:
Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: https://www.linkedin.com/in/elijahszasz/ | |||
| The First Day You Stop Opening Apps. | 08 Apr 2026 | 00:53:55 | |
Kevin Williams & Elijah Szasz demonstrates the end of interface friction by consolidating his entire workflow into a single Claude conversation. No more jumping between ClickUp, HubSpot, and Slack - everything happens through natural conversation with AI connectors pulling and pushing data to the right systems. This episode explores a fundamental shift happening right now: your SaaS tools are becoming expensive databases with unnecessary user interfaces. The real productivity breakthrough isn't better tools - it's eliminating the need to context-switch between tools entirely. Kevin shares his six-day experiment of running his entire business through one chat window, including project management, CRM updates, team coordination, and strategic planning. The result? Massive time savings and the elimination of what he calls "administrative fiddliness." ✅ Key Topics Covered: ✅ How to build Claude connectors for seamless workflow management ✅ Why most productivity problems are actually interface problems ✅ The coming SaaS revolution and what it means for business software ✅ Practical strategies for consolidating multiple tools into single conversations ✅ The psychology of context-switching and why it kills momentum ✅ Future predictions for AI-powered workflow consolidation TIMESTAMPS: 00:00 — Intro 04:49 — The SaaS apocalypse conversation 18:15 — Creative industry disruption 24:49 — The end of fiddliness breakthrough 35:07 — Building the single-interface workflow 41:09 — Platform connectors and automations 53:33 — The future of business software interfaces
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Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| The Best Productivity Hack Right Now? Dictation | 01 Apr 2026 | 00:46:54 | |
Kevin and Eli dive deep into the productivity unlock everyone's missing: dictation. Kevin reveals he's crossed one million words dictated and shares why voice input isn't just faster - it generates 3-5x more context-rich data that dramatically improves AI responses. This episode explores the gap between AI hype and practical implementation, covering computer use capabilities in Claude, the challenges of brittle workflows, and why the best AI adoption strategies focus on reducing input friction rather than upgrading models. The conversation touches on platform friction, the emerging agent economy, and why successful AI implementations meet people where they already communicate best - through speech. ✅ Key topics covered: ✅ Why dictation beats typing for AI adoption ✅ Computer use vs browser use capabilities ✅ Data density as the real AI productivity unlock ✅ Platform friction and workflow brittleness ✅ Voice interfaces for reluctant AI users ✅ The knowledge graph beyond the office ✅ Practical tips for Claude Cowork and automation Timestamps: 00:00 — Intro and Anthropic leak discussion 03:00 — Platform evolution and agent capabilities 07:00 — Computer use experiments and failures 15:00 — Beehive platform friction story 25:00 — Dictation productivity breakthrough 35:00 — Voice input and data density insights
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Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| When High Intent Clicks Meet Zero Discovery | 24 Mar 2026 | 00:58:46 | |
Google's AI overviews now dominate 84% of retail searches, fundamentally changing how customers discover businesses. In this episode, Kevin Williams and Eli explore the shift to zero-click commerce and what it means for organizations that depend on organic traffic. The traditional SEO playbook is dying as AI-powered search results provide answers without sending users to websites. This creates a winner-take-all dynamic where only one or two brands get recommended, making the stakes higher than ever for businesses that rely on search traffic. We dive deep into the practical implications: how schema markup matters more than keywords, why Answer Engine Optimization (AEO) differs from traditional SEO, and what measurement tools actually work in this new landscape. Plus, the surprising upside - while traffic volume decreases, conversion rates for clicks that do come through are jumping to 11.5% versus the industry average of 2.5%. Key Topics Covered: ✅ Zero-click commerce and the death of the 10 blue links model ✅ Answer Engine Optimization vs Generative Engine Optimization ✅ Schema markup and structured data strategies ✅ Why external reputation building now matters more than website optimization ✅ Measurement tools and share of voice tracking ✅ The winner-take-all dynamics of AI search results ✅ High-intent traffic conversion advantages ✅ Black hat tactics emerging in AI search manipulation TIMESTAMPS: 00:00 — Intro and Spring Cleaning with AI 05:30 — Google AI Overviews Dominating Search 12:40 — Zero-Click Commerce Reality 18:20 — High Intent vs Volume Trade-offs 25:10 — Answer Engine vs Generative Engine Optimization 32:30 — Schema Markup and Structured Data 38:45 — Team of One: Agency Case Study 45:20 — Token Economics and Utility Pricing 55:40 — Platform Lock-in and Development Tools
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Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/ → Book a conversation with Kevin: tidycal.com/kevinwilliams
Check out Eli’s Stuff: The Wise Mind Group: https://www.thewisemindgroup.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| What Vibe Coding and Watching Paint Dry Have in Common | 17 Mar 2026 | 00:56:56 | |
Kevin and Eli dive deep into Claude Cowork's browser automation capabilities and uncover a significant shift happening right now in white-collar work. What starts as excitement about AI controlling browsers quickly turns into a sobering discussion about immediate workforce displacement. In this conversation, Kevin demonstrates his weekend vibe-coding project a complete podcast processing tool while Eli shows how Claude Cowork tasks are replacing hours of manual work with automated browser workflows. They explore the critical decision tree between custom GPTs, Cowork tasks, and full applications, and why browser automation represents a fundamental shift from API-dependent workflows to human-like task execution. The core tension they identify: administrative workers aren't facing displacement from advanced AGI in some distant future, but from increasingly capable task automation happening right now. The "Sally Problem" represents the immediate threat to entry-level and mid-level administrative roles from automation that simply follows instructions reliably. ✅ Key topics covered: ✅ Claude Cowork browser automation capabilities and setup ✅ The decision tree: when to use GPTs vs tasks vs custom apps ✅ Real-world examples of complex workflow automation ✅ The immediate threat to white-collar administrative work ✅ Why browser automation beats API-based workflows for edge cases ✅ Cost analysis: $125K human vs $200/month automation ✅ Organizational readiness for workforce displacement conversations ✅ Practical steps for getting started with task automation APPROXIMATE TIMESTAMPS: 00:00 — Intro and sponsor updates 03:20 — Kevin's vibe-coded podcast processing tool 08:30 — Eli's deep dive into Claude Cowork tasks 14:25 — How browser automation actually works 20:15 — The decision tree: GPTs vs tasks vs apps 28:40 — The "Sally Problem" workforce displacement 35:45 — Real-world examples and cost analysis 42:30 — Organizational implications and next steps
Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/ → Book a conversation with Kevin: tidycal.com/kevinwilliams
Check out Eli’s Stuff: The Wise Mind Group: https://www.thewisemindgroup.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: | |||
| You’re Using Meeting Recordings Wrong, Shadow AI and How Block Cut 4,000 Jobs | 10 Mar 2026 | 00:48:36 | |
Shadow AI use is creating massive compliance risks that most organizations don’t even know exist yet. In this episode, Kevin Williams and Eli explore why the Anthropic-Pentagon situation should be a wake-up call for every business leader dealing with AI adoption. | |||
| The dead internet, Claude Co-Work Tasks, and a World After SEO | 03 Mar 2026 | 00:55:18 | |
Summary Elijah and Kevin zoom out from the weekly AI frenzy to a more uncomfortable truth: most leaders still do not believe what is coming. They unpack why big organizations misread adoption signals, why an AI manifesto from the very top matters, and how “cheap” offshore workflows can paradoxically delay automation. The conversation then turns to the new wave of agents, scheduled tasks, and browser automation that replaces endless button-clicking. Finally, they map the shift from SEO to AEO and GEO, the rise of the zero-click internet, and why brands that structure data early may win the next training run. Takeaways Enterprise adoption stalls when senior leaders get filtered, negative signals from layers below them. A CEO-level AI manifesto creates alignment faster than any bottom-up pilot program. “Too cheap to change” is real, low-cost call centers can delay AI even when disruption is inevitable. Scheduled tasks plus connectors turn simple agents into always-on workflows that publish to your tools automatically. Zero-click discovery means you must feed machines structured, verifiable data, not just pretty pages. Chapters 00:00 Introduction and Weekend Reflections 02:06 AI's Impact on Society and Politics 04:44 Leadership Challenges in AI Adoption 07:34 Disruption in Customer Service and AI Implementation 10:40 The Economics of AI in Business 13:11 Navigating AI in Nonprofits and Organizations 16:18 VibeCoding and AI Tools 19:16 The Future of AI and Automation 26:38 The Rise of AI Influencers 29:09 Understanding the Dead Internet and Zero Click Concepts 31:44 The Shift in User Engagement and Transactional Spaces 37:02 The Importance of Early Adoption in SEO Strategies 43:42 Navigating the New Landscape of AEO and GEO 48:59 The Future of Marketing in an AI-Driven World Show Notes & Links: https://www.spark6.com/podcast
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Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: https://www.linkedin.com/in/elijahszasz/ Find the Right AI Project. Scope It. Launch It. Prove ROI. This playbook shows you exactly how to identify high-impact internal AI opportunities and turn them into measurable business results | |||
| How a weekend session of vibe coding led to a fully-baked SaaS product | 24 Feb 2026 | 00:53:56 | |
Summary Kevin spends a family-free weekend “vibe coding” and accidentally builds a full SaaS: a multi-tenant lead magnet builder that creates custom, multi-step lead magnets and then generates personalized nurture emails tied to each prospect’s exact inputs. The bigger lesson is not just the tool, it’s the shift in what’s now possible for non-developers with the right AI workflow: Claude Code plus a simple stack (Supabase, Vercel) can compress months of work into days. They also dig into the new marketing floor, hyper-personalization, rising content noise, and why authenticity still wins. Takeaways A “dynamic lead magnet” can generate a custom report plus a personalized nurture sequence for every single lead. Chapters 00:20 Kids, viruses, and a weekend lost to vibe coding 00:39 Teaching teenagers to code and accidental vulnerabilities 01:47 From simple lead magnet to something much bigger 04:20 Generative reports customized to every user 05:17 Hyper-personalized email sequences tied to real use cases 06:24 Token costs, model choices, and AI economics 10:25 The elevator pitch for a lead magnet building SaaS 14:34 CRM integrations, HubSpot automation, and product expansion 27:35 Meta ads, AI optimization, and the future of paid traffic 45:53 The real stack behind shipping, Claude Code, Supabase, and Vercel Show Notes & Links: https://www.spark6.com/podcast Submit listener questions:
Check out Kevin’s stuff: Ascend Labs: https://ascendlabs.ai/ Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/
Check out Eli’s Stuff: SPARK6 Agency: https://www.spark6.com/ Sign up for FREE AI Framework Friday Newsletter: https://www.spark6.com/newsletter Follow Elijah on LinkedIn: https://www.linkedin.com/in/elijahszasz/ Find the Right AI Project. Scope It. Launch It. Prove ROI. This playbook shows you exactly how to identify high-impact internal AI opportunities and turn them into measurable business results | |||