EARLY ACCESS

The missing layer between requests and pull requests

Paddi is an AI PM agent that gets from feedback to pull request. Fast, precise, confident.

// 01HOW IT WORKS

Built for the AI-native Product Builder

Code agents can ship a feature in an afternoon. But deciding what to build and writing specs that solve the real problem still takes days.

Paddi closes that gap.

STEP_01
01

Diagnose

Feedback flows in from every source you connect. Paddi digs beneath the surface and structures what matters.

STEP_02
02

Decide

Paddi scores and ranks every request against your business goals. Not intuition, not guesswork.

STEP_03
03

Ship

Pick a solution. Paddi writes the spec, then hands it to your dev team or kicks off a Code Agent to send a PR.

// 02SIGNAL → CLARITY

From noise to clarity

Raw feedback is messy. Paddi turns it into structured, prioritized requests so you always know what matters and why.

INPUT.CAPTURE

Connect your sources

Paste feedback, talk to Paddi in chat, or connect the tools your team already uses. However your signals arrive, they all land in one place.

GOAL.ALIGN

Priorities grounded in your goals

Set your business objectives and define what matters. Paddi scores and ranks every request against your strategy.

ROOT.CAUSE.ANALYSIS

Root cause, not surface symptoms

Paddi doesn't just log what users said. It pulls the data it needs from your codebase, connected tools, and past requests to validate what's actually happening and why.

// 03DECISION → DELIVERY

You make the call,
Paddi does the work

Pick a direction. Paddi handles the spec, the edge cases, and the pull request.

MULTI.PATH.REASONING

Multiple paths, clear trade-offs

For each request, Paddi generates solution options with clear trade-offs, impact scope, and estimated effort drawn from your codebase.

CODE.AWARE.SPEC

Specs that know your architecture

Once you pick a path, Paddi assembles a complete PRD grounded in your actual code, including edge cases surfaced.

FULL.TRACEABILITY

Every decision, fully traceable

Each conclusion links back to the raw feedback it came from, the code modules it references, and the scoring logic it followed.

AUTO.PR.DISPATCH

Confirm the plan. Ship it.

Approve the spec. Paddi kicks off a Code Agent to open a PR, or exports the spec straight to your dev team.