PAPI

Runs inside your AI tool

Your AI builds fast. PAPI keeps it from drifting.

Jira and Linear sit in a tab your AI can't see. PAPI runs inside the tool you already build in, tracks why each choice was made, and catches the work sliding away from what you meant to make.

No new app to openTracks the whyCatches drift

Add the connector to your AI toolhttps://mcp.getpapi.ai/mcpCopy

Add to Cursor in one clickOther tools

Uses your existing subscription. No inference cost.

Cycle progress47%2/10effort pointsBuild now, review is next

PlanBuildnowReviewRelease

Plan1build order set

Health checkInbox triageBoard integrityMaturity gateRecommendationBuild order6/6

feat/cycle-12-payments1

318Rate limit the public API2 pts

Build1· now

feat/cycle-12-paymentsPR opens at release1

Building now317MediumRefund handlingBuild actionsStartedBranch readyReport writtenIssues triagedLearnings bankedTo review2/6What done means0/3

Review1

316Checkout and customer portal3 pts2

Released1

ReadinessQuality gateMergedChangelogReleased0/5

315Email receipts on payment2 files changed2 pts

Works inside the tools you already build in

ClaudeChatGPTCursorLovableBoltReplitCodexVS Code

The drift

The faster AI builds, the faster your vision drifts.

Every pivot and new session pulls the build further from what you meant to make. PAPI steers it back.

It starts coldDecisions contradictContext gets lostStale docs pile upNothing gets reviewedWorse with a team

Starts where you left offEvery decision trackedContext carried across toolsOne source of truthReviewed before it shipsShared plan for the team

How it works

The loop that makes it compound.

Plan, build, review, release. Each cycle leaves the next one a better start.

Plan

No more staring at a blank prompt, unsure what to build next.

• Picks the next task against your goals
• Hands your AI a brief it can run cold
• Puts the work in the right order

Pause

**Every fifth cycle, PAPI runs a full strategy review.**See a real one

The AI builds. PAPI keeps it on your vision.

It looks back over the last five cycles, then steers the next ones, so nothing drifts.

Catches driftFlags when the work has wandered from what you set out to build.

Separates signal from noiseTells you what's working and what to drop.

Remembers every callSo you never re-argue a decision or repeat a dead end.

Hands you the next planTurns the findings into your next set of tasks.

Add PAPI

Built for teams

Everyone on their own cycle. One product.

Each person runs their own cycle on their own AI. PAPI shares the repo, plan and decisions, so it still ships as one product.

Team boardOne repo · 43 decisions, inherited by everyone

Shared backlog

OAuth refresh flowWebhook retriesEmpty-state copy+5

anyone claims →

Builder · own cycle

PlanBuildReviewShipped

C309

Claude OpusOwner

Landing rebuild

Plan1

Build3

Review1

Shipped6

C14

GPT-5Builder

Billing + quotas

Plan·

Build2

Review2Claude

Shipped4

C9

Gemini 2.5Builder

Mobile polish

Plan2

Build1

Review·

Shipped3

Claude is reviewing GPT-5’s billing buildReviews cross the team

Work flows to whoever’s freeA shared backlog anyone pulls from into their own cycle.

Coherent at scaleSame plan, same decisions. Independent cycles, one product.

Any modelEach person builds on the AI they prefer.

Bring your team onto one board

The audit trail

Every decision, on the record.

Press play. Watch PAPI’s own build assemble, every decision on the record: who made it, who changed it, and why.

Play PAPI historyReal data · PAPI building PAPI

1cycle

0decisions

0tasks shipped

51%on scope

0changed

Press play to replay every decision and the reason behind it.

decision madechanged directionscope accuracytasks shipped / cycle1,044 decision events · 582 validations

1,850 builds shipped55 strategy reviews146 decisions refined on evidence43 live now, never lost

Still wondering

Two honest answers.

The questions people ask right before they add the connector.

What makes PAPI different from my .md documents?

An .md doc is prose the AI has to keep honest by discipline. PAPI is state that updates itself as a side effect of working.

.md docsPAPI

Stale the moment the AI moves on. Updating the doc is a separate chore.State written by the workflow. Finishing a build flips the status and records the report.

Unstructured prose. You cannot query "what is in review". No statuses, no history.Structured: tasks, statuses, cycles, decisions and build reports, all queryable.

Grows without limit. The whole file loads every session, relevant or not.Scoped retrieval. One orient call returns just the current state.

Describes a process, enforces nothing.Enforces the loop: plan, build, review, release, with gates.

No decision memory. The "why" lives in dead chat sessions and gets re-argued.A decision registry, with supersede history.

Never learns.Compounds: effort estimates, scope accuracy and learnings feed the next plan.

Lives in one repo, one tool.The same state from Claude Code, Cursor, any MCP client.

This is the “Stale docs pile up” problem from The Drift, answered

Does PAPI add token usage, or does it actually reduce it?

1

Zero added inference cost.

PAPI makes no LLM calls of its own. No API key, no credits. The reasoning happens inside the subscription you already pay for.

2

A small constant in, growing spend out.

Tool responses do take up context, and we will not pretend otherwise. But they replace a heavier pattern: .mdplanning docs grow without limit and load in full every session, while PAPI's responses stay about the same size no matter how old the project gets. Session start is one scoped orient call instead of re-reading swollen docs and re-deriving where you are. Handoffs are assembled once at plan time, so a build session starts cold with exactly what it needs. And decision memory kills the priciest repeat spend of all: re-arguing settled decisions.

Small fixed cost per call, against an unbounded cost that grows every session. On any live project, the crossover favours PAPI within weeks.

Pricing

Flat price. No metering. No credits.

PAPI runs inside the AI tool you already pay for. The price stays flat as you grow.

Free

€0

The whole loop, on three projects. No card.

• Three live projects
• Plan, build, review, release
• Decision memory and handoffs
• Works in every AI tool

Start free

Most buildersPro

€20/mo

Unlimited projects, a deeper read on each.

• Everything in Free, unlimited
• Strategy reviews
• Full project telemetry
• Lessons carry across projects

Go Pro

Team

€19/seat

Shared projects, roles, one board.

• Shared backlog and decisions
• Roles and quality gates
• Viewer seats free

Talk to us

The PM your AI wished it had.

Add one connector. No new app. Running in about a minute.

Add PAPIRead the docs

No code leaves your machine. No inference cost.