Month: August 2026

  • So What? How to Automate Content Transformation

    Summary In today's episode, I walk through automating content transformation by cleaning up an old podcast archive with hundreds of broken links and dead sponsors using agentic AI tools. Here's what this means for you. You'll get a repeatable blueprint for turning messy legacy content into clean, monetizable assets without spending your life on manual…

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  • You Ask, I Answer: Drawing the Line on AI Review?

    Summary In today's episode, I explain how to decide where to draw the line for human review in AI marketing tasks based on risk levels. Here's what this means for you. You'll calibrate your review process to match the consequences of each AI output so you scale low-risk work without exposing your brand to high-risk…

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  • AI Automation Accelerates: How One Year of Breakthroughs Is Reshaping the Future of Work

    What a difference a year makes. I was putting together slides for a private workshop I’m doing today, and for fun I decided to take a snapshot of Humanity’s Last Exam results from a year ago and from today. That was eye-opening. In a year’s time, what was described as one of the most difficult…

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  • You Ask, I Answer: Evaluating LLMs the Wrong Way?

    Summary In today's episode, I break down why chasing the right LLM for each stage of your marketing funnel is usually the wrong problem to solve. Here's what this means for you. You'll get far better results by sharpening your prompts, guardrails, and surrounding workflows than by swapping between Claude, ChatGPT, and Gemini. You'll also…

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  • Skip the Cloud AI Bills: How Chinese Open-Source Models Slash Enterprise LLM Costs

    China strikes again. Two big model releases this week – Minimax H3 (Hailuo), king-size video generator, which can run on a machine that can support 500 GB of VRAM. You won’t be running this on a MacBook any time soon, but big inference providers like DeepInfra will be able to serve this up and it’s…

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  • You Ask, I Answer: Is Learning Algorithms Still Essential?

    Summary In today's episode, Sean tackles whether learning data structures and algorithms still matters now that AI can write and refactor code for you. Here's what this means for you. You'll gain the judgment to steer AI tools toward unconventional, high-value outcomes instead of accepting the most probable default answer it hands you. You'll also…

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  • Don’t Put a V8 in Your Prius: How to Safely Choose AI Models for Autonomous Systems

    Be careful what engine you put in your car. GPT-5.6 is unquestionably a very smart model, highly capable, up there as an Opus-class model along with Opus 4.8, Kimi K3, GLM-5.2, etc. What’s more, it’s fast, cheaper than the top models from Anthropic by an order of magnitude according to Artificial Analysis… … but it’s…

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  • You Ask, I Answer: Measuring AI ROI Beyond Time Saved?

    Summary In today's episode, I tackle a listener's question about measuring the organizational ROI of AI when the primary benefit shows up as unquantifiable individual time savings. Here's what this means for you. You'll discover that struggling to measure AI's impact almost always points to a deeper performance measurement problem your organization has not yet…

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  • The AI Hiring Crisis: Why Human Referrals Are Your Only Way In

    Late Friday afternoon thoughts. AI has made recruiting nearly impossible. From a hiring manager’s perspective, every candidate looks identical now, all polished beyond recognition by AI. Every CV reads the same – a stellar candidate on paper. Interviews online are equally impossible with candidates reading aloud what AI tells them to. From a candidate’s perspective,…

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  • You Ask, I Answer: Missing Micro Trends as FOMO?

    Summary In today's episode, I break down whether missing a micro trend actually costs marketers anything meaningful. Here's what this means for you. You'll see that chasing micro trends is really anomaly marketing, a costly attention treadmill that rarely produces durable brand value. You'll also learn these concepts: how your choice of audience and platform…

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