A six-gate pre-build discipline developed for the AI coding agent era. Every gate exists because AI agents are extraordinarily good at building the wrong thing with complete confidence. The Intent Stack closes the gap between what you want and what ships.
"Vague prompts don't just produce bad code. They produce bad code that looks right — and nothing in your pipeline is designed to catch the difference."
There is a gap in the AI coding agent era that nobody is talking about clearly: the Gulf of Evaluation. It's the distance between what your AI agent produced and what your product actually needed. The agent crossed the finish line. You're just not sure it was the right race.
Hallucination in code doesn't look like nonsense. It looks like a working feature that violates your security model, or a deletion flow that skips your billing system, or a state machine that silently corrupts data under concurrent load. The agent was confident. The spec was vague. The fallout wasn't obvious until it was too late.
When every prompt is pressure-tested before it reaches an agent, the delta disappears. The Intent Stack is the operational framework that makes that possible — six gates, each one a checkpoint between a raw idea and the first line of agent-generated code. Teams that run it stop rebuilding. They start compounding their wins.
The profit auditor and spec builder are open source. Use them. Run your next feature idea through both gates before you write a line of code. See what precision feels like before committing to the full system.
Every gate deployed into your team's workflow. Configured to your stack, your product context, and your team's operating model. This is the full system — not a tool, a discipline embedded in how your team ships.
The Intent Stack plus strategy, AI architecture, and team enablement. Three to six months. We work alongside your team until the system runs without us — and every gate produces data that feeds the next iteration.
RAW IDEA
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GATE 01 ─── ai-profit-auditor ──── Should we build this?
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GATE 02 ─── spec-builder ──────── What exactly?
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GATE 03 ─── spec-auditor ──────── All of it now?
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GATE 04 ─── architect-of-intent ─ AI-ready?
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AI AGENT BUILDS
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GATE 05 ─── build-auditor ──────── Right thing?
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LAUNCH
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GATE 06 ─── signal-reader ──────── Working? Learning?
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└───────────────────────────────────────► back to GATE 01
Signal Reader closes the loop. Every launch feeds the next iteration with real behavioral data instead of assumptions. The stack is designed to get faster with use — each cycle through refines the model of what your customers actually want versus what you thought they wanted.