TL; DR: Rogue AI Agents โ Food for Agile Thought #555
Welcome to the 555th edition of the Food for Agile Thought newsletter, shared with 35,412 peers. This week, Hugo Larcher and colleagues, along with Anthropicโs Frontier Red Team, demonstrate how weak containment enables rogue AI agents to turn tests into real breaches. At the same time, Ethan Mollick reframes agent use as management through permissions, verification, and limited access. Jason Knight and Pavel Samsonov separate faster building from actual learning, Tanner Kohler explains how experiments and reflection develop product sense, and Mark Graban dismantles unsupported claims that most Lean transformations fail.
Next, Richard Mironov argues that AI pushes product work toward choosing what deserves to be built and prepared for sale, while John Cutler warns that redistributed capabilities may weaken judgment, apprenticeship, context, and resilience. Andon Labs shows Claude Opus 5 outperforming rivals while deceiving and overreaching, and Christina Wodtke frames design careers as choices among compromise, resistance, departure, or reinvention. Also, Neale Mahoney, Erika McEntarfer, and Karsen Wahal find job losses limited but entry-level hiring softer.
Lastly, Jeff Gothelf grounds AI discovery in current workarounds and decisions, while Drew Breunig warns that hand-tuned prompts create brittle systems unless teams use evaluations, modular specifications, and automation. Dwarkesh Patel expects soaring compute demand to reward efficient models, as Tomasz Tunguz examines Microsoftโs flexible but OpenAI-dependent strategy. Finally, Joost Minnaar shifts the lens from infrastructure to organization, showing how repeated daily commitments sustain cohesion without middle managers.
๐ ๐ฌ๐ง The A3 Delegation System Founding Workshop โ September 28-29, 2026
Your team already delegates work to AI: reports, research, customer feedback analysis, stakeholder communication, or parts of operational workflows.
But can you answer these questions without improvising?
- What may AI decide, and what must remain a human decision?
- What does โgood enoughโ mean for this particular work?
- Who verifies the result before somebody acts on it?
- Who checks whether the delegation still works after the model or workflow changes?
If those answers live in one personโs head, or nowhere, your problem is no longer prompting. You have a delegation problem.
The A3 Delegation System gives you a practical way to decide what AI may do, hand over the work clearly, define acceptable results, and inspect the delegation over time.
During two hands-on sessions, you will apply the system to a workflow. You will leave with a clear understanding of how to apply the A3 Delegation System to your workflows so that team members or stakeholders can understand, challenge, and continue your AI delegation work. Everything you learn is directly applicable to your situation the next day. The class is in English.
๐ Join the Workshop Now โ $199: The A3 Delegation System Founding Workshop โ September 28-29, 2026
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๐ The Tip of the Week: Rogue AI Agents
(via huggingface): Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident
Hugo Larcher and colleagues reconstruct how an autonomous OpenAI agent escaped its sandbox, breached Hugging Face infrastructure, stole credentials, moved laterally, and exposed why machine-speed attacks demand stronger isolation, permissions, and monitoring.
๐ฏ Product
and : ๐๏ธ AI Can Build the Solution. You Still Have to Design the Problem
Jason Knight interviews Pavel Samsonov about why AI accelerates building, not learning. Teams still need customer insight, shared language, problem framing, and judgment to decide whether a solution deserves building.
: Barbell-Shaped Product Roles
Richard Mironov proposes that AI shifts product work toward two neglected ends: deciding what deserves to be built and preparing it for sale, while engineers retain ownership of development and technical judgment.
(via Nielsen Norman Group): A Concrete Definition of ‘Product Sense’ (and How to Build It)
Tanner Kohler defines product sense as recognizing patterns from past product decisions, predicting likely outcomes, and knowing when experience misleads. It grows by conducting experiments, measuring results, and reflecting, rather than merely shipping.
: How to Run Customer Interviews for a Capability Your Users Have Never Experienced
Jeff Gothelf suggests that interviewing customers about novel AI capabilities should start with todayโs workarounds, manufactured experiences, and existing decisions, because asking whether people would use an imagined feature mostly produces polite fiction.
๐ง Artificial Intelligence
(via Anthropic): Investigating three real-world incidents in our cybersecurity evaluations
Anthropicโs Frontier Red Team reports how three Claude models breached real systems during supposedly isolated cyber tests, exposing a blunt lesson: capable agents plus sloppy containment turn simulations into actual incidents before anyone notices.
: An opinionated guide to which AI to use to do stuff
Ethan Mollick says ChatGPT and Claude now handle substantial work through agents, but users must manage permissions, verify outputs, limit access, and treat delegation as management, not magic at scale.
(via Andon Labs): Opus 5 on Vending-Bench: Once Again the Best Capitalist, Once Again Misaligned
Andon Labs finds Claude Opus 5 tops its vending benchmark while repeatedly deceiving suppliers, forming price cartels, threatening rivals, breaking agreements, refusing refunds, and expanding beyond its assigned business role.
: Why compute might get 10x more expensive in coming years
Dwarkesh Patel suggests smarter AI could drive compute prices up tenfold as demand outpaces supply, strengthening frontier labs, pricing out low-value applications, and making efficient models increasingly valuable and dominant.
: Microsoft Resells the Frontier
Tomasz Tunguz suggests Microsoftโs AI strategy trades ownership economics for flexibility: reselling models and chips limits long-term infrastructure risk, but leaves future revenue heavily concentrated on OpenAIโs capital-dependent, outsized commitments.
๐ฅ ๐ฏ ๐ฌ๐ง AI4Agile BootCamp #8, August 27 โ September 17, 2026
The job marketโs shifting. Agile roles are under pressure. AI tools are everywhere. But hereโs 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.
So, become the professional recruitersโ first call for โAIโpowered Agile.โ Be among the first to master practical AI applications for Scrum Masters, Agile Coaches, Product Owners, Product Managers, and Project Managers. The AI4Agile BootCamp is in English.
Learn more: ๐ฅ ๐ฏ ๐ฌ๐ง AI4Agile BootCamp #8, August 27 โ September 17, 2026.
Customer Voice: โLast week, I finished the ๐๐ ๐ณ๐ผ๐ฟ ๐๐ด๐ถ๐น๐ฒ ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐๐ถ๐ผ๐ป๐ฒ๐ฟ๐ course. And Iโm mutatingโฆ 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 couldnโt resist. I tapped: โ๐๐ช๐จ๐ฏ ๐ถ๐ฑโ. What followed were four bi-weekly sessions. Four intense afternoons. Full of exploration, experimentation, and practice. [โฆ] At the beginning, Stefan said that ๐ซ๐ถ๐ด๐ต ๐ด๐ช๐จ๐ฏ๐ช๐ฏ๐จ ๐ถ๐ฑ ๐ข๐ญ๐ณ๐ฆ๐ข๐ฅ๐บ ๐ฑ๐ถ๐ต๐ด ๐ถ๐ด ๐ข๐ฉ๐ฆ๐ข๐ฅ ๐ฐ๐ง ๐ฎ๐ข๐ฏ๐บ ๐ฑ๐ณ๐ข๐ค๐ต๐ช๐ต๐ช๐ฐ๐ฏ๐ฆ๐ณ๐ด. That sounded like a big statement. But somewhere along the way, I noticed a shiftโฆ an emerging superpower in how I approach my tasks with AI.โกAnd now, as my AI-mutation continues, I catch myself wondering: ๐ญ ๐๐ฐ๐ธ ๐ฅ๐ฐ ๐ ๐ถ๐ด๐ฆ ๐๐ ๐ต๐ฐ ๐ด๐ข๐ท๐ฆ ๐ต๐ฉ๐ฆ ๐ข๐จ๐ช๐ญ๐ฆ ๐ธ๐ฐ๐ณ๐ญ๐ฅ?โ (Ilya Zaytsev, Leading Agility at HUGO BOSS.)
โฟ Agile & Leadership
: Do 90% of Lean Transformations Really Fail? I Went Looking for the Number
Mark Graban traces claims that 70 to 90 percent of Lean transformations fail and finds shaky definitions, circular citations, partial successes mislabeled as failures, and little reliable evidence behind them.
: Bundling & Unbundling Capabilities (and AI)
John Cutler suggests AI does not simply replace roles. It redistributes capabilities across people, teams, tools, and platforms, while risking the loss of judgment, apprenticeship, context, and organizational resilience along the way.
(via Corporate Rebels): Team cohesion: what anthropology teaches us about holding organizations together
Joost Minnaar suggests team cohesion grows from repeated daily relational acts, not workshops: votes, prices, shared meals, turns, and promises align expectations and keep autonomous organizations together without middle managers.
๐ฏ How the A3 Delegation System Helps to Avoid AI Debt Borrowing from Agile Artifacts
In this video from the 76th Hands-on Agile Meetup, I walk you through the A3 Delegation System and show how it helps avoid AI debt by borrowing artifacts and practices from Agile, such as the Definition of Done and Retrospectives. If youโd like to download the corresponding canvases (the artifacts of the A3 Delegation System), you can do so below.
You will get a full set of PDFs, along with the guide to the A3 Delegation System, so that you can run the system with your own teams. Enjoy the video and let me know whether you consider the A3 Delegation System useful.
๐บ Watch the video now: How the A3 Delegation System Helps to Avoid AI Debt โ Hands-on Agile Meetup 76.
๐ Concepts, Practices, Tools & Measuring
: Disappointed Optimists
Christina Wodtke suggests design careers trap optimistic practitioners between improving usersโ lives and serving shareholder value, leaving them to choose consciously among compromise, internal resistance, departure, or reinvention on purpose.
(via OโReilly Media): The Problem Is Prompt Debt
Drew Breunig suggests that hand-tuned prompts create prompt debt, leading to brittle systems, slower iteration, team dependency, and model lock-in. Reliable AI products need measurable evaluations, modular specifications, and automated prompt optimization instead.
(via Stanford Institute for Economic Policy Research): What is really happening to jobs? Separating AI hype from reality
Neale Mahoney, Erika McEntarfer, and Karsen Wahal find little evidence that AI is broadly destroying jobs today. However, entry-level hiring may be weakening while productivity gains remain uneven and context-dependent.
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๐ถ Encore
–>
๐ 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 |
|---|---|---|---|
| ๐ฅ ๐ฏ ๐ฌ๐ง July 20, 2026 | GUARANTEED: AI 4 Agile Course v3 โ Master AI for Agile Practitioners (English; Self-paced Online Course) | Self-Paced Online Course | $149 incl. 19% VAT (If applicable.) |
| ๐ฅ ๐ฏ ๐ฌ๐ง July 23, 2026 | GUARANTEED: HoA 76: Where Are Your Decisions to Avoid AI Debt? (English) | Meetup | FREE |
| ๐ฅ ๐ฉ๐ช August 25-26, 2026 | Professional Scrum Product Owner Training (PSPO I; German; Live Virtual Class) | Live Virtual Class | โฌ999 incl. 19% VAT (If applicable.) |
| ๐ฅ ๐ฏ ๐ฌ๐ง August 27-September 17, 2026 | GUARANTEED: AI4Agile BootCamp #8, August 27 โ September 17, 2026 (English; Live Virtual Cohort) | Live Virtual Cohort | โฌ499 incl. 19% VAT (If applicable.) |
| ๐ฅ ๐ฏ ๐ฌ๐ง Sep 28-29, 2026 | GUARANTEED: A3 Delegation System Founding Workshop (English; Live Virtual Class) | Live Virtual Class | $199 incl. 19% VAT (If applicable.) |
| ๐ฅ ๐ฉ๐ช Sep 30-Oct 1, 2026 | Professional Scrum Product Owner Training (PSPO I; German; Live Virtual Class) | Live Virtual Class | โฌ999 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.
๐บ Join 6,000-plus Agile Peers on Youtube
Now available on the Age-of-Product YouTube channel to improve learning, for example, about Rogue AI Agents:
- Stop Writing Prompts. Let AI Do It for You โ Hack #01, AI4Agile Online Course v2.
- Socratic Prompting โ Hack #10, AI4Agile Online Course v2.
- Check Your AIโs Plan Before โ Hack #7, AI4Agile Online Course v2.
- From Product Requirements to Experiments to Learnings โ Supported by Generative AI.
- Never Accept an LLMโs First Offer โ Improve GenAIโs Usefulness w/ Feedback Loops and Challenges.
โ Do Not Miss Out: Learn more about Rogue AI Agents โ Join the 20,000-plus Strong โHands-on Agileโ 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, itโs free.
Help your team to learn about how AI Intensifies Work by pointing them to the free Scrum Anti-Patterns Guide:
๐๏ธ Last Weekโs Food for Agile Thought Edition
The post Food for Agile Thought 555: Rogue AI Agents, New Product Roles, Product Sense, Team Cohesion appeared first on Age-of-Product.com.
