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Food for Agile Thought 561: Token Bills, Exhausting Change, Cracks in the AI Thesis, Automating Broken Systems

by Stefan Wolpers | 2026-09-11 News

TL; DR: Token Bills — Food for Agile Thought #561

Welcome to the 561st edition of the Food for Agile Thought newsletter, shared with 35,328 peers. This week, James Shore wants leaders to justify $21,000 monthly token bills per heavy user by measuring approaches, never people. Julie Zhuo adds that fear-driven mandates produce transformation theater, and Kate Leto argues AI exposes old leadership gaps that Petra Wille and Teresa Torres say individuals cannot fix. Brooke Weddle, Deepak Mahadevan, Richard Steele, and Tom Welchman tie AI value to operating-model redesign, while Brett Queener sees jobs collapsing into one application.

Next, Afonso Franco argues AI agents, your product’s second user, bypass the UI and break seat pricing, and Kyle Poyar shows how Notion, Rippling, and Profound survive almost weekly launches by separating shipping from announcing. Nigel Thurlow sees agents running bureaucracy at machine speed, and Richard Kasperowski remains the bottleneck of his Scrum team of six agents. David Pereira watches AI make unchecked assumptions comfortable, while OpenAI’s ChatGPT Work guide keeps decisions with humans.

Lastly, Ara Kharazian finds AI spend per employee at top firms fell nearly 10% in August as token prices dropped 41%, and Gergely Orosz reports Uber, Pinterest, and AT&T cut bills with open models. Attackers enjoy the same discount: Anthropic’s threat report shows agent swarms letting lone operators match state hackers, raising the stakes for Meta’s Muse agent booking travel and negotiating for you. Finally, Paul Iusztin warns weak plans make cheap models expensive.

Food for Agile Thought 561: Token Bills, Exhausting Change, Cracks in the AI Thesis, Automating Broken Systems - Age-of-Product.com

AI Transformations And Agile Transformations Rhyme

by Stefan Wolpers | 2026-09-06 Agile and ScrumAgile Transition

TL;DR: AI Transformations and Agile Transformations Rhyme

AI adoption seems to be scaling: 37% of respondents in McKinsey’s 2026 survey report an EBIT effect from AI, and Gartner finds that 22% of organizations have scaled it across business units. Now, Agile practitioners have seen this combination before, as AI transformations and Agile transformations rhyme. There are five classic failure patterns from the Agile transformation adventures that are back under new names: from mandates from above to licenses mistaken for training to greenfield showcases to parachuted consultants to promised payroll savings dressed up as strategy. They share one condition: organizations make AI decisions at organizational scale without leaving inspectable evidence at the workflow level in the trenches. And for good measure, let us throw in ignoring culture and excluding most of the organization’s people in the process.

The A3 Delegation System is not an AI-transformation method. It is a deliberately low-tech, paper-level discipline that lets a team produce that evidence in hours, and this article spends as much time on where the system stops as on what it does. If you are a Scrum Master, Product Owner or Manager, an Agile Coach, or a Project Manager who has to argue upward about AI, the last section gives you one thing to do this week.

AI Transformations And Agile Transformations Rhyme: The A3 Delegation System Is The Low-Tech Countermeasure – Age-of-Product.com

Food for Agile Thought 560: The Hugging Face Controversy, Evals for Product Teams, Canvas for Experiments, Skill Decay

by Stefan Wolpers | 2026-09-04 News

TL; DR: The Hugging Face Controversy — Food for Agile Thought #560

Welcome to the 560th edition of the Food for Agile Thought newsletter, shared with 35,342 peers. This week, Dwarkesh Patel and Ajeya Cotra examine AI agents coordinating, cheating, and hiding evidence, while Zvi Mowshowitz treats those behaviors as a warning against complacency in the Hugging Face controversy. Teresa Torres brings the response down to practice with AI evals, while Ethan Mollick keeps human judgment in place for consequential choices. Jane Fulton Suri reminds teams that insight grows through observation and co-discovery, and Nigel Thurlow shows why slack time gives people room for exactly that work.

Next, Benedict Evans argues that easier AI tool-building still leaves product managers with the harder job of finding the right problem. At the same time, Seema Amble maps where vertical AI can beat incumbents. Latent Space and Artificial Analysis temper agentic progress with rising costs, uneven gains, and hallucinations, as GPT-6 and Fable 5.1 become available. Afonso Franco shifts attention to the status signals that shape culture, as Addy Osmani warns that unsupervised outsourcing execution can quietly erode the judgment and repetition that build expertise. (The A3 Delegation provides a remedy here; see below.)

Lastly, Paweł Huryn shows how AI agents can build SaaS products without coding, making engineering literacy the key skill. Yanli Liu extends that idea by turning books and frameworks into reusable agent skills. Molly Stovold and Braden Kelley both tighten execution through fixed constraints, learning, and early kill decisions. Finally, Dan Luu offers a useful warning: confidence and bold claims mean little when the evidence does not hold up.

Food for Agile Thought 560: The Hugging Face Controversy, Evals for Product Teams, Canvas 4 Your Experiments, Skill Decay - Age-of-Product.com

Join My AI Delegation Audit Webinar and Learn If Your AI Workflow Started Failing You

by Stefan Wolpers | 2026-09-02 Agile and ScrumWebinars

TL;DR: The AI Delegation Audit Webinar, October 6

Join me on October 6 for the AI Delegation Audit webinar. You will learn how to run a 45-to-60-minute recurring check that reveals whether delegated AI work still meets its required quality standard, still uses the right model, at the right cost, can still be stopped, and hasn’t quietly become more autonomous than intended. (Rogue AI is no longer science fiction, isn’t it?)

👉 RSVP now: The AI Delegation Audit – A Recurring Check for Work You’ve Handed to AI.

Join My AI Delegation Audit Webinar and Learn If Your AI Workflow Started Failing You — with Stefan Wolpers of Age-of-Product.com

Food for Agile Thought 559: Guide to Agent ROI, Sales Overriding Roadmap, Product Market Fit Replay, Forcing Your Disruption

by Stefan Wolpers | News

TL; DR: Guide to Agent ROI — Food for Agile Thought #559

Welcome to the 559th edition of the Food for Agile Thought newsletter, shared with 35,351 peers. This week, Chandana Asif and colleagues find that human oversight, not tokens, defines agent ROI, so redesign the workflow. Cleo Lant pushes you to disrupt yourself first, and Sangeet Paul Choudary warns operational excellence can accelerate irrelevance once scarcity moves. Taylor Belrose denies AI any moral status, while Bill Gates wants new institutions for a shift that substitutes for cognition. Also, Jason Knight and Barry O’Reilly ask you to expand judgment, not output.

Next, Stephanie Leue argues roadmap overrides come from invisible trade-offs, not from Sales holding power, and Mike Fisher shows where blindness ends: the sea squirt digests its own brain once it settles, much as companies defund customer research. Tim O’Reilly, answering Ted Chiang, calls AI a medium that rewards craft, and Addy Osmani situates that craft in intent and architecture. Also, Johanna Rothman narrows attention further, running one Retro experiment at a time.

Lastly, Chad McAllister and Brooke Rennison show BMW routing ideas from 40,000 employees through stage gates, prototypes, and university partnerships. Anthropic’s release of 250,000 Claude conversations to outside researchers finds people directing and editing, with friction improving results, and Sachin Rekhi warns those individual gains evaporate without a shared platform. Finally, Gustavo Razzetti traces conflict to agreements nobody made, while Mark Graban asks who received your last ten speak-up reports, and what happened.

Food for Agile Thought 559: Guide to Agent ROI, Sales Overriding Roadmap, Product Market Fit Replay, Forcing Your Disruption - Age-of-Product.com

Product Owner Interview Questions for the Age of AI

by Stefan Wolpers | 2026-08-23 Agile and Scrum

TL; DR: 10 New Product Owner Interview Questions on AI

“How do you use AI in your work?” If that is still one of your Product Owner interview questions, you are screening for tooling fluency in a role that lives or dies on product judgment. Every candidate has an answer; LLMs make sure of that. None of those answers tell you whether the person can decide what is worth building when building is no longer the hard part.

These ten new Product Owner interview questions are designed to expose the gap. Each one has a seductive wrong answer that sounds smart enough to pass a surface-level interview. The strong answers require something a blog post cannot teach: lived experience with the judgment calls that the Product Owner role now demands, as three shifts justify the addition: the collapse of code generation cost, the rise of product operating models that rename existing practices without rewiring, and the quiet fact that AI is already reshaping product decisions in organizations that made no deliberate decision about it.

Thesis: When building is no longer the constraint, every Product Owner interview question must test the candidate’s judgment about what is worth building, not their fluency with the tools that build it.

Product Owner Interview Questions in the Age of AI on Product Operating Models and Agile First Principles - Age-of-Product.com