Requirements govern execution directly. Agents execute from intent they can actually read. Developers own the system's coherence — not its output. Promin is the infrastructure that makes AI-native real.
Get early accessEvery piece of software carries two realities. There's what you believe it does — the specs, the tickets, the conversations in someone's head. And there's what it actually does — the code running in production, the features 3% of users touch, the tests verifying functionality you deleted six months ago.
The distance between these two realities is where every bug, every wasted sprint, every "wait, we already have that" lives. In hybrid AI workflows, that gap grows with every auto-generated PR — because you're adding speed without adding clarity.
The missing piece isn't smarter hands — it's a living model of what your system is supposed to be.
Every tool owns one box. No tool connects them. And developers live in the gaps — translating, relaying, reviewing — because nothing else does.
Promin is the nervous system between them. A living graph that connects intent to implementation to verification to outcomes. When the graph is coherent, agents don't need a human relay to execute correctly. When it drifts, Promin surfaces it before it becomes expensive.
Not tickets in a backlog — a living map. Features, goals, constraints, and dependencies as nodes in a directed graph. Find contradictions through traversal. Trace impact through pathfinding. Discover orphan goals nobody is building towards and zombie features nobody is using. The architecture your team describes in hallway conversations, finally made visible and queryable.
Describe what you want to build. Promin will find the overlap with something you already have. It will surface the constraint it violates. It will ask which business goal it serves — and challenge you if the answer is vague. Every feature that enters your system arrives validated, scoped, and connected. Not assumed.
Point Promin at your codebase. In minutes: every capability your code implements, inferred and confidence-scored. Entry points mapped. Boundaries drawn. Tests matched to the features they actually verify. The requirements map that would take a new hire weeks to build — generated before their first standup.
Bidirectional mapping: what you said you'd build ↔ what you actually built. When a requirement evolves but the code doesn't follow — flagged. When code changes but requirements stay frozen — flagged. When tests pass but no longer match their acceptance criteria — flagged. The drift that kills products, made visible before it becomes expensive.
Every feature gets a vital sign — test coverage, code freshness, adoption trajectory, metric trends. Sparklines that show the story numbers alone can't tell. Extinction alerts when usage flatlines. Emergence signals when users keep searching for something you haven't built. Your software's health, without the guesswork.
Promin doesn't wait for you to ask. The Conductor watches your codebase for changes, checks them against the knowledge graph, identifies where intent and implementation have diverged, and surfaces what to do about it. Not another dashboard to check — a system that checks itself.
Promin runs on Promin. Our own requirements, our own traceability, our own health scores — all managed by the system we're building.
It caught a 40% overlap between two modules we were building simultaneously. We would have shipped duplicate work.
It flagged a feature with zero adoption three weeks before we planned to extend it. We killed it instead.
It generated acceptance criteria for a new integration, then verified our tests against them. Two criteria had no coverage. We found out from our own product, not from users.
This isn't a demo story. It's how we work. The knowledge graph governs our own execution. We're not relaying intent through prompts — we're maintaining a model that agents can read directly. A system that evolves itself, catching its own blind spots, proving the AI-native model at every layer.
The shift
Hybrid AI development keeps the old pipeline — discover, specify, build, test, ship — and slots AI into each stage. Faster. Still sequential. Still dependent on human translation at every handoff. The relay got faster. The relay is still there.
AI-native development inverts the model. You maintain a structured, evolvable requirements system and execution flows from it. Features aren't built — they're derived. Code becomes an output of a correctly maintained model, not a craft applied to an ambiguous brief.
The developer's role doesn't shrink. It sharpens. Less writing code, more owning coherence. Less reviewing generated PRs, more governing the knowledge graph that makes ambiguous PRs unnecessary. Not below the system, not inside it — above it.
Promin is the infrastructure that makes this shift real. Not a concept. A workflow your team can adopt today.
The transition is already happening. The teams that shape the tooling now will define how the rest of the industry builds in three years.
What early access gets you