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Practitioner notes · not commentary
Retros, AI systems, and things shipped in production — written by a PM sitting close enough to engineering to get the details right, and far enough from the demo to know what actually held up.
What started as a simple AI design experiment slowly became part of my day-to-day PM workflow. Notes on design systems, token burn, deck generation, frontend analysis, and where AI design tooling genuinely changes product velocity.
What it actually takes to put a retrieval-augmented assistant in front of paying enterprise users — corpus design, contextual ranking, evaluation harness, fallback paths, and the org-level work of getting CS, Legal, and Security comfortable with an LLM in the loop.
Building a golden set from real support tickets, scoring retrieval offline, and the dashboards we now refuse to ship without.
Why the contract beats the screen on enterprise SaaS, and how scoping around endpoints changed our roadmap shape.
How tightening the path from Sentry alert to Jira ticket to backlog cut reported product issues 20% in two quarters.
A framework for partnering with Sales on architecture, pricing, and delivery without committing to features that will haunt the roadmap.
Workshops, internal tooling, and the small wins that built credibility before we asked anyone to trust an LLM with their workflow.
Beyond the notes
Long-form essays, RFP write-ups, internal talks, and the occasional public PRD. Practitioner Notes are the practitioner cut — the longer pieces live next door.