The missing layer
between AI insight
and AI execution.
AI coding tools let your team ship in hours. But deciding what to build is still slow, fragmented, and manual. Intent Infrastructure replaces that translation gap with a continuous, structured pipeline — from raw user signals to machine-parseable specifications your AI coder can act on directly.
THE PIPELINE
THE PROBLEM
AI can build in hours.
Deciding what to build still takes weeks.
AI coding tools have fundamentally changed how fast software can be built. But the upstream process — deciding what to build — hasn't changed at all. As development speed increases, this asymmetry becomes more severe.
THE SPEED ASYMMETRY
Fragmented Signals
Customer insights are scattered across Slack, support systems, analytics platforms, and internal discussions. No single view of what users are actually experiencing.
Ambiguous Specifications
Traditional PRDs are written for human interpretation. They lack precise definitions of success, which means implementation and intent routinely diverge.
Broken Feedback Loops
Teams rarely measure whether shipped features actually resolved the underlying user problem. There is no structured connection between what was shipped and what changed.
HOW IT WORKS
Six layers.
One continuous pipeline.
Each layer feeds the next. The pipeline runs continuously — not as a one-time process, but as the operating system for your product team.
Signal Ingestion
Integrates with Slack, PostHog, and Jira. All incoming data normalised into a unified format — qualitative user complaints and quantitative funnel data analysed together.
Friction Signal Engine
AI connects related qualitative and quantitative data to surface problems that are both frequently occurring and high-impact. Output: a ranked list of Friction Signals.
Intent Contract Generation
When a PM approves a friction signal, the system automatically generates an Intent Contract — a structured, machine-parseable specification designed to be consumed directly by AI coders.
AI Coder Implementation
The Intent Contract is passed to Cursor or Claude Code. The AI coder implements directly from the contract — no interpretation needed. No briefing documents. No ambiguity.
Verification Layer
After implementation, the system reads the git diff and checks alignment with the Intent Contract. Scope, constraints, and checklist items verified automatically.
Outcome Monitoring + Memory
Metrics auto-tracked via PostHog. Success detection is automatic. Every outcome — pass or fail — is recorded in the Memory Layer, preventing repeated mistakes and informing future contracts.
THE CORE ARTIFACT
The Intent Contract.
Not a PRD. Not a ticket.
Infrastructure.
Every field is either auto-generated from data or auto-consumed by a downstream system. If a field exists only for a human to read, it belongs in a PRD — not an Intent Contract.
THE NEW ROLES
The Memory Layer.
Individual layers can be copied.
A system that learns from every experiment cannot.
Every company gets its own private experiment log. Not a history of what was tried — but a structured record of the hypothesis, what was shipped, which metrics moved, by how much, and why it succeeded or failed. Future contracts are generated with full awareness of past attempts.
POSITIONING
Not a PM tool.
Infrastructure for AI-native teams.
"Every field in an Intent Contract is either auto-generated from data sources or auto-consumed by a downstream system. If a field exists only for a human to read, it belongs in a PRD — not in an Intent Contract."
COMPETITIVE LANDSCAPE
No one owns the full loop.
Until now.
Existing tools own individual slices. Intent Infrastructure is the only system that runs the complete pipeline from signal ingestion to memory.
| CAPABILITY | Intent Infra FULL LOOP | Productboard FEEDBACK + ROADMAP | Pendo ANALYTICS + FEEDBACK | Cycle.app CLOSEST COMPETITOR | Cursor AI CODER ONLY | Linear / Jira ISSUE TRACKING |
|---|---|---|---|---|---|---|
| Signal ingestion | ||||||
| AI friction ranking | ||||||
| Intent Contract gen | ||||||
| Codebase context | ||||||
| AI coder integration | ||||||
| Diff verification | ||||||
| Outcome monitoring | ||||||
| Memory / experiment log |
BUILT FOR TEAMS ALREADY USING
EARLY FEEDBACK
We can ship a feature in 4 hours with Cursor. But we still spend two weeks figuring out what to ship. That's the gap Intent Infrastructure closes.
The Intent Contract is the missing spec format for AI coding tools. PRDs weren't designed for machines. This is.
The memory layer is the thing that will make this irreplaceable. After 50 experiments, the system knows our product better than most of our team.
PRIVATE BETA
Ship the right features.
Every time.
Intent Infrastructure is in private beta. We're onboarding teams that are actively using AI coding tools and want to close the loop from signal to outcome.