FIELD NOTES FOR AI-NATIVE PRODUCT TEAMS
Shipping got faster. Product judgment did not.
Practical frameworks for the problems that appear after AI accelerates building: prototype debt, UI drift, weak agent context, wrong autonomy and product states nobody designed.
01 · Product Rescue
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02 · Coding Agents
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03 · Systems
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04 · Human–AI UX
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05 · Production Readiness
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Why vibe-coded products feel unfinished even when they work.
The Prototype Debt Map: five layers that separate a functional demo from a coherent product.
How to stop AI coding agents from creating UI drift.
The Agent Drift Loop and the five controls that break it before inconsistency becomes the new standard.
What an agent-ready design system actually needs.
A design system for humans is not automatically usable by coding agents. Here is the missing operating layer.
AI agent UX: approval, autonomy, undo and recovery.
A practical Autonomy × Reversibility model for deciding what an agent can do and where humans should intervene.
From AI prototype to production-ready product.
A release-readiness sequence for teams that already have working code and do not need another zero-to-one redesign.