When a developer hits ambiguity — they ask for clarification.
An AI agent? It confidently fills the gap from training data. Sometimes correctly. Often not.
That’s the exact problem ANSS solves.
ANSS (AI-Native System Specification Standard) is an open standard I built while working on real projects — Solo Founder OS and LombardPro.
It adds several mechanisms designed specifically for agents:
Invariants — hard, machine-checkable constraints the agent must never break
[A] Layer — explicit AI-only instructions (read first)
Agent Review — the agent audits the spec before writing any code
Change Specification — clear rules for modifications that protect existing functionality
Result: iteration cycles dropped from 5–7 to 2–3.
Today I updated the README with a new section “Already have a spec? Start here” — 4 practical scenarios for converting existing PRDs, TZs or rough drafts into ANSS.
If you’re building with AI agents (Claude Code, Cursor, Aider, etc.) and tired of re-explaining the same things every time — worth checking out.
Open source. No pitch.
→ github.com/Kholomyanskiy/anss-standard
#AIAgents #SoftwareSpecification #PromptEngineering #OpenSource
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