Product with Attitude
AI Product Manager turning everyone into AI-native builders. I help you design & build with AI, not just use it. I build tools to grow your newsletter and showcase your work. Join a 16K+ community growing critical AI literacy by immersion.
- Indexed issues, last 90 days
- 15
- Latest publication
- Sep 29, 2026
- Audience
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- Earliest in this view
- Jul 31, 2026
Latest issues
What Jev Means for AI Agent Security. The Security Gamble Behind “Jev Can’t Hallucinate”. (opens the original)
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TL;DR: Jev is TypeSafe’s System One model: it returns typed, probabilistic decisions instead of free-form text, fast enough and cheap enough to call on every agent action. In AI agent security, that makes it a judgment layer: a cheap sensor for suspicious tool calls, risky requests, and review routing. It is not an authorization mechanism, it can be confidently wrong, and attackers have every reason to manipulate its inputs. This guide covers where Jev helps, where existing security controls sti
What Is Jev? Why Is Everyone Crazy About It? What I Built for Less Than $1. (opens the original)
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TL;DR: On September 15, 2026, TypeSafe launched Jev, the first System One judgment model, and it became the fastest-adopted model in Vercel AI Gateway history: nearly 13% of paid teams used it within 24 hours. Pricing is $0.042 per million input tokens, with output tokens free. Measured on my own account: $0.000126 per four-question scoring request, so a $5 sign-up credit covers roughly 39,000 requests. The non-technical version: Je
How to Govern AI Agent Fleets Inside a Product Team (opens the original)
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The skillset of an "AI-native" product team is a moving target. A few years back, prompt engineering was a hot skill. Then came context engineering, and agent engineering.We still need to know all of the above. But we can’t put our feet up and call ourselves permanently AI-native.The next layer is how to govern AI agent fleets: the ten or twenty agents already running across research, engineering, marketing, and document
Get AI Recommended. AI Search Brought Me 51 Subscribers in 60 Days. And It Wasn’t LLMs.txt. (opens the original)
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TL;DR: If you want to get cited by AI, give an answer engine a reason to retrieve your page. Start with a specific long-tail question. Bring something the rest of the search pile cannot: an original experiment result you measured, or an expert opinion. When other writers in your field link to your work, they’re helping build a semantic map of a topic. Google is not telling writers to stop using AI. But it is telling us not to mass-produce low-quality content and to remain responsible for what we
Weekly Long-Tail Question Prompt for AI Search Visibility (opens the original)
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I’ve written countless Product with Attitude articles about questions I was trying to answer for myself.For a while, I trusted myself to remember those questions. This was optimistic. So I gave the remembering job to AI.I now have a recurring task across ChatGPT Work, Claude Cowork, and Perplexity that sends me every long-tail question I asked during the previous week. <a class="image-link image2" href="https://substackcdn.com/image/fetch/$s_!jVAL!,f_auto,q_auto:good,fl_progressive:steep/https%3
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