TL; DR: AI Confidence Theater — Food for Agile Thought #551
Welcome to the 551st edition of the Food for Agile Thought newsletter, shared with 35,473 peers. This week, Elena Verna calls out AI confidence theater and asks teams to show real workflows, which pairs well with Teresa Torres and Petra Wille’s advice to start AI adoption with one messy to-do item. Also, Janna Bastow brings the same discipline to alignment meetings: clarify decisions before vague input becomes commitment. Anthropic frames Fable 5’s return as governance, while Alberto Romero questions the safety bargain, and Mike Cohn redirects failed Agile blame toward broken conditions.
Next, Aakash Gupta and Shubham Saboo treat PM work like code, while Hamel Husain extends that discipline to AI evaluation: track changes, show provenance, and make review paths obvious, and Tomasz Tunguz adds the cost pressure that will force selective adoption. Joost Minnaar reminds teams that rituals without shared power rot into theater, and Anthropic frames Claude Fable 5 as a teammate needing clearer boundaries.
Lastly, Ethan Mollick sees AI work shifting toward agent management, while Peter Yang expects model portfolios to reshape software economics. Charity Majors argues that leaders must support learning rather than demand unpaid adaptation, and Gergely Orosz reminds us that reinvention beats nostalgia. Finally, Abraham Thomas ties lasting progress to data quality that delivers real business outcomes by matching fitness for purpose with measurable value rather than relying solely on checklists.
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Sooner or later, a CFO will ask what your AI use actually returns. “It saves me time” will not survive that meeting.
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🏆 The Tip of the Week
: Please stop the AI Confidence Theater
Elena Verna suggests AI confidence theater is making everyone dumber and more anxious. Real value comes from useful workflows, honest outcomes, and maintained systems, not pretending agents run the company while prototypes need babysitting and hiring teams confuse polished vocabulary with actual competence. Show the work, or stop selling certainty.
🎯 Product
and : 🎙️ AI-Shaped Problems
Teresa Torres and Petra Wille suggest that AI adoption starts with one to-do item, not bigger problems, fancy tools, or perfect prompts. Their suggestion: Start small, expect bad results, and learn by doing.
(via ProdPad): How to Run Alignment Conversations Without Derailing the Quarter
Janna Bastow suggests that alignment meetings can derail quarters when vague input becomes an accidental commitment. State what is decided, name what is open, and send fresh ideas to the backlog instead of later.
: “It’s Hard to Eval” Is a Product Smell
Hamel Husain suggests that when AI outputs are hard to evaluate, the product design is broken: make provenance, checks, diffs, and expert-review paths visible so users can trust artifacts without redoing the work.
: GitHub for PMs: Version Control for Everything You Build With AI
Aakash Gupta and Shubham Saboo propose treating PM artifacts like code: store AI workspaces, skills, prompts, and evals in GitHub so teams can track changes, review work, and recover quickly.
🧠 Artificial Intelligence
(via Anthropic): Redeploying Claude Fable 5
Anthropic depicts Fable 5’s return as a governance problem: stronger cyber safeguards, jailbreak severity scoring, and closer government collaboration now sit beside model capability in release decisions for everyone.
: Fable is Back: This Safeguard Has Some AI in It!
Alberto Romero suggests Fable 5’s return signals a colder bargain: more safety theater, less useful coding, and deeper government control over frontier models. The bug was never the real story.
: When AI Costs More Than the Engineer
Tomasz Tunguz believes AI spending could become a serious engineering cost center, with 2029 scenarios forcing leaders to choose between token deflation, selective adoption, or AI bills rivaling payroll itself.
: The twilight of the chatbots: How work changes along the exponential
Ethan Mollick suggests AI work is shifting from chatbot collaboration to agent management, where domain experts assign longer tasks, judge outcomes, and outpace organizations still writing yesterday’s AI plans today.
: 18 Hot Takes On Where AI is Headed Next
Peter Yang proposes that AI is moving from costly frontier-only stacks toward model portfolios, super apps, agent-first products, and cloud collaboration, leaving traditional SaaS interfaces at risk of becoming invisible plumbing for autonomous work.
🖥 💯 🇬🇧 AI4Agile BootCamp #8, August 27 – September 17, 2026
The job market’s shifting. Agile roles are under pressure. AI tools are everywhere. But here’s the truth: the Agile professionals who learn how to work with AI, not against it, will be the ones leading the next wave of high-impact teams. Therefore, Stefan created the AI4Agile BootCamp.
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Learn more: 🖥 💯 🇬🇧 AI4Agile BootCamp #8, August 27 – September 17, 2026.
Customer Voice: “Last week, I finished the 𝗔𝗜 𝗳𝗼𝗿 𝗔𝗴𝗶𝗹𝗲 𝗣𝗿𝗮𝗰𝘁𝗶𝘁𝗶𝗼𝗻𝗲𝗿𝘀 course. And I’m mutating… It started on the train. I was scrolling through my messages, half-distracted, when a newsletter from Stefan Wolpers popped up. Stefan, a deep thinker with a hands-on attitude, was launching a new course. A pilot cohort. The mission: explore how AI can actually support us as agile practitioners. I couldn’t resist. I tapped: “𝘚𝘪𝘨𝘯 𝘶𝘱”. What followed were four bi-weekly sessions. Four intense afternoons. Full of exploration, experimentation, and practice. […] At the beginning, Stefan said that 𝘫𝘶𝘴𝘵 𝘴𝘪𝘨𝘯𝘪𝘯𝘨 𝘶𝘱 𝘢𝘭𝘳𝘦𝘢𝘥𝘺 𝘱𝘶𝘵𝘴 𝘶𝘴 𝘢𝘩𝘦𝘢𝘥 𝘰𝘧 𝘮𝘢𝘯𝘺 𝘱𝘳𝘢𝘤𝘵𝘪𝘵𝘪𝘰𝘯𝘦𝘳𝘴. That sounded like a big statement. But somewhere along the way, I noticed a shift… an emerging superpower in how I approach my tasks with AI.⚡And now, as my AI-mutation continues, I catch myself wondering: 💭 𝘏𝘰𝘸 𝘥𝘰 𝘐 𝘶𝘴𝘦 𝘈𝘐 𝘵𝘰 𝘴𝘢𝘷𝘦 𝘵𝘩𝘦 𝘢𝘨𝘪𝘭𝘦 𝘸𝘰𝘳𝘭𝘥?” (Ilya Zaytsev, Leading Agility at HUGO BOSS.)
➿ Agile & Leadership
: We Tried Agile and It Didn’t Work
Mike Cohn suggests failed agile attempts usually reveal unchanged decisions, overloaded systems, and symbolic empowerment. Do not defend Agile; instead, ask what actually failed, then fix conditions around the work first.
(via Corporate Rebels): Holacracy disadvantages: honest criticism and challenges of frameworks
Joost Minnaar believes Holacracy fails when companies copy its rituals without culture, turning self-management into disguised hierarchy. The framework helps only when teams adapt it, test assumptions, and share power.
: In defense of AI mandates
Charity Majors suggests AI mandates are not automatically dumb management theatre: when change is urgent, leaders must fund learning, name tradeoffs, create cover, and stop pretending unpaid adaptation is strategy.
📯 If You Can Facilitate a Retrospective, You Can Audit Your AI
Scrum teams inspect how the last Sprint went during the Retrospective. They are much less likely to inspect the work they have handed to AI, because no meeting on the calendar owns it. That gap is where a working AI automation quietly turns into risk: it keeps producing fluent, on-brand output long after the decision to trust it has expired. The AI Delegation Audit closes the gap by leveraging the facilitation skills teams already use in a Retrospective.
Thesis: The Delegation Audit is the missing inspection cadence for delegated AI work. It checks four things: whether the work still meets the standard, whether the model still fits the task, whether the team can still stop the automation, and whether reviewed assistance has quietly become unreviewed automation. You can try it on one workflow in fifteen minutes.
Learn more: If You Can Facilitate a Retrospective, You Can Audit Your AI.
🛠 Concepts, Practices, Tools & Measuring
(via Anthropic): Prompting Claude Fable 5
Anthropic proposes treating Claude Fable 5 less like a chatbot and more like a long-running teammate, with clearer boundaries, evidence-backed progress updates, memory, subagents, and less over-engineered prompting than older models.
and : How Kent Beck shapes the tech industry
Gergely Orosz suggests Kent Beck’s real lesson is not TDD nostalgia, but reinvention: software engineering keeps changing, and the durable skill is building trust, learning fast, and understanding people well.
: On Data Quality
Abraham Thomas proposes treating data quality as use-case-dependent, progressing from record hygiene to corpus health, fitness for purpose, and business value, while avoiding checklist theater and unsupported outcome fantasies.
📅 Scrum Training & Event Schedule
You can secure your seat for Scrum training classes, workshops, and meetups directly by following the corresponding link in the table below:
| Date | Class and Language | City | Price |
|---|---|---|---|
| 🖥 💯 🇬🇧 July 20, 2026 | GUARANTEED: AI 4 Agile Course v3 — Master AI for Agile Practitioners (English; Self-paced Online Course) | Self-Paced Online Course | $149 incl. 19% VAT (If applicable.) |
| 🖥 💯 🇬🇧 July 23, 2026 | GUARANTEED: HoA 76: Where Are Your Decisions to Avoid AI Debt? (English) | Meetup | FREE |
| 🖥 🇩🇪 August 25-26, 2026 | Professional Scrum Product Owner Training (PSPO I; German; Live Virtual Class) | Live Virtual Class | €999 incl. 19% VAT (If applicable.) |
| 🖥 💯 🇬🇧 August 27-September 17, 2026 | GUARANTEED: AI4Agile BootCamp #8, August 27 – September 17, 2026 (English; Live Virtual Cohort) | Live Virtual Cohort | €499 incl. 19% VAT (If applicable.) |
| 🖥 💯 🇬🇧 Sep 28-29, 2026 | GUARANTEED: A3 Delegation System Founding Workshop (English; Live Virtual Class) | Live Virtual Class | $199 incl. 19% VAT (If applicable.) |
| 🖥 🇩🇪 Sep 30-Oct 1, 2026 | Professional Scrum Product Owner Training (PSPO I; German; Live Virtual Class) | Live Virtual Class | €999 incl. 19% VAT (If applicable.) |
See all upcoming classes here.
You can book your seat for the training directly by following the corresponding links to the ticket shop. If the procurement process of your organization requires a different purchasing process, please contact Berlin Product People GmbH directly.
📺 Join 6,000-plus Agile Peers on Youtube
Now available on the Age-of-Product YouTube channel to improve learning, for example, about how to avoid AI Confidence Theater:
- Stop Writing Prompts. Let AI Do It for You — Hack #01, AI4Agile Online Course v2.
- Socratic Prompting — Hack #10, AI4Agile Online Course v2.
- Check Your AI’s Plan Before — Hack #7, AI4Agile Online Course v2.
- From Product Requirements to Experiments to Learnings — Supported by Generative AI.
- Never Accept an LLM’s First Offer — Improve GenAI’s Usefulness w/ Feedback Loops and Challenges.
✋ Do Not Miss Out: Learn more about AI Confidence Theater — Join the 20,000-plus Strong ‘Hands-on Agile’ Slack Community
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If you would like to join, all you have to do now is provide your credentials via this Google form, and I will sign you up. By the way, it’s free.
Help your team to learn about how AI Intensifies Work by pointing them to the free Scrum Anti-Patterns Guide:
