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  1. AI Research Tools: The Fast vs. Quality Trade-Off and How to Plan Ahead

    Choose good or fast.

  2. Almost Timely News: 🗞️ What Are Open Weights Models? (2026-10-18)

    _Almost Timely News: 🗞️ What Are Open Weights Models?

  3. Why Opus 5.5 Is the Best AI Model for Performance, Speed, and Cost

    Leave Claude set on Opus 5.5 Medium.

  4. Will AI kill us all?

  5. Get Boosted Before MAICON: How AI Marketers Can Stay Sharp at Fall Conferences

    It’s two weeks to one of the biggest events of the year, the annual Marketing AI Conference, MAICON, put on by SmarterX.

  6. Stop Maxing Out Your AI: How to Save Money and Time with Smarter Settings

    Use AI at the peak of the previous best.

  7. Master AI Visibility in 2026: The 3 Stages of GEO and Agentic Search

    What’s going on with AEO/GEO/AI Visibility/etc.?

  8. Almost Timely News: 🗞️ The Road to MAICON 2026 (2026-10-11)

    _Almost Timely News: 🗞️ The Road to MAICON 2026 (2026-10-11) :: View in Browser_ The Big Plug ✍️ Enroll in my new course, AI for Writers and learn how to make AI write better.

  9. It wasn’t the workshop I thought I was doing.

  10. So What? What’s New in Agentic AI Assistants?

    Summary In today's episode, I walk through the latest developments in agentic AI assistants and break down the five levels of AI enablement along with the risks and opportunities they create.

  11. How to Make Better AI Tools: Why Data Quality Is the Lever You Control Today

    How do we make better AI tools?

  12. Supercharge AI Agents with Lexical-Semantic Fusion to Cut Costs and Boost Accuracy

    Lexical?

  13. Why Small AI Models Like Jev Are Replacing Frontier LLMs for Classification Tasks

    The nerd herd is talking about Jev (and similar models).

  14. Stop Buying AI Visibility Tools: Get Real SEO Data From Search Console Instead

    I am now more convinced than ever that AI visibility softare is bullshit.

  15. _Almost Timely News: 🗞️ Highly Opinionated Method of Building AI Agent Skills (2026-10-04) :: View in Browser_ The Big Plug ✍️ Enroll in my newest course, Introduction to Deep Research With AI. 👍 This issue features a new paid download, the The Highly Opi…

  16. When AI Gets Too Helpful: Preventing Data Exfiltration by Unbounded Agents

    A very long time ago, I was the Thought Police.

  17. “It’s your always-on assistant”.

  18. So What? What’s New with the LinkedIn Algorithm?

    Summary In today's episode, I break down what's new in the fifth edition of the LinkedIn Algorithm Guide from Trust Insights and explain how LinkedIn's ranking system really works.

  19. How to Make AI Truly Creative: Leverage Cross-Domain Data for Breakthrough Ideas

    AI doesn’t naturally see across domains.

  20. You Ask, I Answer: Preventing Bias in Historical Training Data?

    Summary In today's episode, I walk through how to sanitize historical sales data so your AI models don't inherit and amplify the biases hiding in your CRM.

  21. New AI Models Are Just the Engine: What You Actually Need to Succeed

    A bunch of new engines (AI models) came out today.

  22. You Ask, I Answer: Compensating Employees Who Use AI Efficiently?

    Summary In today's episode, I tackle how to handle compensation and performance reviews for employees who use AI to finish work in a fraction of the time.

  23. Why Prompt Scoping Is the New Standard for Mastering Agentic AI

    Remember to include scope in your AI prompts.

  24. You Ask, I Answer: Chunking Enterprise Data for AI Analysis?

    Summary In today's episode, I break down how to analyze massive multi-year business reports with AI without falling victim to context window limitations or hallucinations.

  25. _Almost Timely News: 🗞️ How I Use AI As a Keynote Speaker & Facilitator (2026-09-27) :: View in Browser_ The Big Plug ✍️ Enroll in my newest course, Introduction to Deep Research With AI. 📺 Watch my 25-minute Intro to GEO talk at Spotlight Summit!

  26. Local AI on Apple Silicon Just Got 5x Faster: Why You Should Run Models On-Device Now

    oMLX just added dual ANE support for Qwen3.x models!

  27. Lots of folks are confused by model choosers in AI tools.

  28. “No problem, here’s how you build it.” – Reginald Barclay to the Enterprise computer There’s a fantastic, short scene in Star Trek TNG’s episode “The Nth Degree” in which Lt.

  29. Why GEO Is Reverting to SEO: The Agentic AI Shift You Can’t Ignore

    This one’s for Wil Reynolds.

  30. How to Edit with AI Without Losing Your Voice Using Smallest Effective Edits

    “Show the smallest effective edits.”

  31. Almost Timely News: 🗞️ What’s Changed in Basic AI Prompting (2026-09-20)

    _Almost Timely News: 🗞️ What's Changed in Basic AI Prompting (2026-09-20) :: View in Browser_ The Big Plug ✍️ Enroll in my new course, AI for Writers and learn how to make AI write better. 📺 Watch my 25-minute Intro to GEO talk at Spotlight Summit!

  32. Responsible AI Decoded: 5 Practical Steps to Reduce Impact and Stay Employable

    What does “responsible AI” even mean?

  33. You Ask, I Answer: What’s the New Premium Brand Differentiator?

    Summary In today's episode, I examine what becomes the new premium differentiator for brands when AI drives the cost of content creation to near zero.

  34. Why Reddit AI Citations Dropped: The robots.txt Reality and Your Next Move

    Everyone in AEO/GEO/AIO/GAIO/LLMO/EIEIO is losing their mind about Reddit AI citations dropping like a rock.

  35. You Ask, I Answer: How to Justify AI Costs to the CFO?

    Summary In today's episode, I explain how to justify escalating AI API costs to your CFO when direct revenue ROI isn't apparent, using a blender analogy to reframe the question.

  36. So What? Defining the Agency of the Future

    Summary In today's episode, I break down how AI is rapidly making the traditional agency billable hour model obsolete and what firms must do to survive.

  37. Qwen3.8 27B: The Laptop Model That Matches Opus 4.7 SOTA AI Performance

    It is difficult to overstate how big a deal Qwen3.8 27B is as an AI model.

  38. You Ask, I Answer: How to Diversify AI Vendors?

    Summary In today's episode, I break down the strategic case for balancing commercial AI providers like OpenAI against self-hosted open source LLMs, using a "plan big, act small" framework.

  39. Paul Roetzer asked over on Xitter: “I desperately want to understand how open-source absolutists believe open versions of this type of agent ability is safe.

  40. You Ask, I Answer: How to Build a Cheap AI Sidekick Box?

    Summary In today's episode, I break down how to choose between building a cheap local AI inference box and setting up a low-cost orchestration computer that hands the heavy lifting to a cloud provider.

  41. State-of-the-Art AI Just Got 95% Cheaper: Run Top Models Locally

    Another week, another Pareto distortion in AI.

  42. Almost Timely News: 🗞️ Creating A Keynote Speaker Second Brain (2026-09-13)

    _Almost Timely News: 🗞️ Creating A Keynote Speaker Second Brain (2026-09-13) :: View in Browser_ The Big Plug ✍️ Enroll in my new course, AI for Writers and learn how to make AI write better.

  43. Five New AI Models Compared: Why Qwen 3.8 Is the Only One Worth Your Time

    Five new AI models hit the field this week, and only one of them is probably worth your time.

  44. You Ask, I Answer: Does A/B Testing Survive AI Personalization?

    Summary In today's episode, I tackle whether traditional A/B testing becomes obsolete in an era of AI-generated hyper-personalized landing pages.

  45. So What? Nontraditional Podcast Analytics

    Summary In today's episode, I break down why traditional podcast analytics miss the mark and how to measure the entire content ecosystem around your show.

  46. In 48 days – 7 weeks – I and a bunch of other folks are making our annual pilgrimage to Cleveland for #MAICON26, the SmarterX Marketing AI Conference.

  47. You Ask, I Answer: How to Standardize AI Evaluation Rubrics?

    Summary In today's episode, I explain how to build a blended scoring rubric by combining different stakeholder definitions of quality so AI can balance competing objectives like marketing appeal, technical depth, and legal safety.

  48. How to Make AI Unique: Use Low-Probability Prompts to Beat the Bell Curve

    “Every website AI designs looks the same.”

  49. You Ask, I Answer: Building Proactive AI Marketing Agents?

    Summary In today's episode, I walk through how to build a proactive AI agent that identifies wasted ad spend and redistributes budget without manual prompting.

  50. Why Claude Haiku Is Outclassed: The Case for Hybrid AI Strategy

    Claude Haiku is the single biggest weakness in the Anthropic ecosystem now.