WhatA tool that forces product teams through structured discovery (user interviews, acceptance criteria, edge cases) before any code is written, outputting machine-readable specs that both humans and AI coding agents can consume.
SignalMultiple experienced developers observe that AI has shifted the bottleneck to product teams who now skip discovery and YOLO prototypes, only to waste more total time iterating on the wrong thing — the real constraint is specification quality, not coding speed.
Why NowAI coding tools have made building cheap but haven't solved the requirements problem, and teams are now painfully discovering that vague inputs produce vague outputs whether the builder is human or AI.
MarketProduct managers and engineering leads at tech companies; $2B+ product management tooling market; competes with Linear/Jira but focuses on pre-build discovery rather than task tracking.
MoatAccumulating patterns of what good specs look like across thousands of projects creates an increasingly effective spec-quality scoring model that competitors without the data cannot replicate.
I don't think AI will make your processes go fasterView discussion ↗ · Article ↗ · 631 pts · May 17, 2026
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