
Senior PM (Meta, Amazon) building in public. AI product strategy, monetization, and what actually works at scale. Practical frameworks and guidance for PMs, product builders and founders who want to lead AI.
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 4 | Founded | 4 months ago | Last Issue | 2 months ago |
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Most teams shipping generative AI features have a dashboard problem, not a model problem.
Here is what that looks like in a real world scenario. The following case is documented by in “Module 06: Evals Mastery, Rubrics, and Templates”. An...
Most teams write a system prompt once and hand it to engineering. Then they wonder why the AI feature behaves inconsistently, hedges constantly, or produces outputs no one would act on.
The system prompt is the product spec for your AI fea...
We trained ourselves on deterministic software.
Bug in production = code is wrong. Find it, fix it. One cause, one fix.
AI breaks this entirely. The same bad output can have four completely different root causes. Most PMs are solving the...
You’re three sprints into an AI feature. Users are getting bad outputs. Your CTO says the model isn’t smart enough. You agree. You spend two weeks getting budget approved to upgrade from Sonnet to Opus. You ship the upgrade. The outputs are...
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The writers behind this newsletter.
Frameworks and hard-won lessons for PMs, product builders, and founders building AI products that actually scale - from someone who's done it at $3B+ revenue, 3B+ users.
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