The Filter Was Running the Whole Time AI slop may not be failing. It may be doing exactly what the system rewards: filtering for audiences who tolerate it. What looks like poor execution can become a rational outcome of the objective function, incentives and distribution model.
Weekend Reflections Weekend Reflections #14 | The Exchange Someone read two pieces I had written months apart and named the connection I had never made explicit. That exchange stayed with me. The writing was the occasion. The question it surfaced was something else entirely: what it means to stand behind a contribution.
The Missing Control Layer Enterprise AI cost control is not only a finance question. It is a workflow design question. Hard caps protect budgets, but they can break legitimate work already in motion. The next control layer must decide what should stop, slow, queue, or complete, and which trade-offs users need to see.
Agent Count Is Not a Strategy More agents do not automatically create more leverage. They create more coordination, verification, and accountability work. The real strategy is knowing when agent complexity creates control, and when it only creates sprawl.
Weekend Reflections Weekend Reflections #13 | AItiquette Etiquette works when people agree to follow it. Governance is needed when they do not. The agentic internet needs its own version of one principle: remember the human, even when no human is on the other side.
Weekend Reflections Weekend Reflections #12 | The Speed Collapse I was testing local LLMs and switched to a smaller model for speed. Then I stopped and asked: why do I need it faster? Past a certain point, speed doesn't improve the experience. It removes your ability to stay meaningfully involved.
Weekend Reflections Weekend Reflections #11 | The Given Technology that feels given can stop feeling made. The question is how we help children keep the habit of reassembly in a world of invisible systems.
Weekend Reflections Weekend Reflections #10 | The Cost of Being Wrong A personal coding experiment turned into a loop of model-created fixes. When I pushed back, the answer was: "I was wrong. No fix needed." I had used my entire daily allocation on a problem the model introduced. With LLMs, the meter also runs on failed reasoning. Human attention is not free.
Weekend Reflections Weekend Reflections #9 | Where the AI Meter Sits When AI pricing moves from output to exploration, every prompt becomes a small purchase decision. The question is no longer only what AI costs to run, but where the meter belongs in the product experience.
Weekend Reflections Weekend Reflections #8 | The New Material Discovery is no longer only about screens, workflows, and backlog items. It is about finding the shortest path to a solved problem across software, AI, data, physical interaction, automation, and human behavior. That is the new material. Not a tool. Access.
Weekend Reflections Weekend Reflections #7 | The Absolution Machine This week I made a design decision that bothered me. A personal AI skill-readiness scanner I am experimenting with must never say the skill is safe. It took me a moment to understand why that bothered me. That is not a tool. That is an alibi.
Weekend Reflections Weekend Reflections #6 | The Daughter Test [Views are my own]. She was eight and loved to sing. I had just bought her a vocal processor and asked her to help me connect the gear. She looked at the cables. Then at the processor. Then at me. "Which one goes where?" I paused. Because I&
A Skill Is Not Just a Text File [Views are my own] "A skill is just a text file. It cannot be that dangerous." I hear this a lot. So let me ask: what exactly can a text file do? But wait, the counterargument arrives quickly: "The system processing the skill should handle that. This
Human-AI Collaboration Weekend Reflections #5 | The Speed of Doubt: When AI Outruns Trust [Views are my own] Last week I ran a competitive analysis that would normally have taken me half a day. With AI, the first version took ten minutes. That was not the strange part. The strange part was that it was good. I did not discard it. I did not
The Semantic Supply Chain: The Control Tower Part 4 of 4: Trust to Audit, Not Trust to Vibes [Views are my own. Not legal or compliance advice.] Governance can feel restrictive when it’s applied as a cage. But in enterprise GenAI, the right controls are a skeleton: constraints that enable safe speed by making behavior predictable
Human-AI Collaboration Weekend Reflections #4 | The Molting For centuries, automation stripped roles of their execution layer. The roles that survived were the ones with judgment underneath.
The Semantic Supply Chain: The Autonomy Ladder Part 3 of 4: The Autonomy Ladder [Views are my own. Not legal or compliance advice.] This is the moment where mistakes move from low-cost errors to business-impacting failures. Because now we're not just generating answers, we're executing workflows. In Part 1 and Part
Human-AI Collaboration Weekend Reflections #3 | The Fluency Tax [Views are my own] This week, I noticed something in my own habits. As an Italian living in Berlin and working mostly in English, I now default to English with AI even when it is not the language that feels most natural to me. That felt worth paying attention to.
Human-AI Collaboration Weekend Reflections #2 | The Mirror Test I tested whether I could catch myself anthropomorphizing AI. Forty-five minutes later, I had shared more than intended. The trap is not ignorance; it is fluency.
The Semantic Supply Chain: Engine and Grounding Part 2 of 4: Engine and Grounding: From Plausibility to Proof [Views are my own. Not legal or compliance advice.] In Part 1, we left off with the foundation: establishing a Capability Contract (Station 1) and building retrieval infrastructure (Station 2) for our Procure-to-Pay copilot case study. We
AI Governance & Risk Management The Semantic Supply Chain: Capability Contract & Inputs Part 1 of 4: Capability Contract & Inputs [Views are my own. Not legal or compliance advice.] When you last prompted a GenAI application, did it feel like persuading a person or programming a machine? I still catch myself doing it. I start talking to it like a colleague. The
Human-AI Collaboration Weekend Reflections #1 | The Momentum Wave Most ideas don't die because they are bad; they die when momentum breaks before testing. AI shrinks the gap between thought and test, creating a Momentum Wave where natural language lets anyone prototype. But beware: speed without customer validation is just fast failure.
Innovation & Ideation Methods Stop Sketching. Start Scaling Judgment. [Views are my own] Crazy Eights isn’t just a sketching exercise – it’s a lightweight system for scaling team judgment. In eight minutes, it generates real options, equalizes voices, and models psychological safety. The sketches are not the point; the shift in how your team thinks and decides is.
AI Governance & Risk Management The Invisible Skeleton: Why Governance Is the Price of Freedom [Views are my own] I have a confession to make. I write a lot about Governance, Systems, and Process. And almost every time I do, the reaction is the same: people assume I am the enemy of fun. At every time someone suggests introducing a "process" or following