The product loop,
automated.
Autopilot listens to your product in production, surfaces what to build next, and hands it to your coding agent.
- [02:41] analyst · surfaced drop-off on /onboarding after r_482
- [02:38] instrumenter · added 3 telemetry events in src/checkout/confirm.tsx
- [02:35] outreach · drafted interview request for u_913 (power user, 28d)
- [02:32] planner · proposed backlog item bk_0471 with 14 evidence links
- [02:29] analyst · flagged spike in TypeError at /api/ingest (prod, last 6m)
- [02:26] instrumenter · mounted feedback widget on experiment var_b
- [02:23] reporter · generated weekly digest (23 insights, 4 shipped)
- [02:20] outreach · re-engaged 11 dormant users after feature ship_0194
- [02:17] planner · demoted bk_0392 after new evidence from session sess_8821
- [02:14] analyst · linked error err_4420 to onboarding funnel step 2
- [02:11] instrumenter · patched missing event on billing/upgrade success
- [02:08] outreach · scheduled 3 interviews tagged #churn-signal
- [02:05] analyst · surfaced drop-off on /onboarding after r_482
- [02:02] instrumenter · added 3 telemetry events in src/checkout/confirm.tsx
- [01:59] outreach · drafted interview request for u_913 (power user, 28d)
- [01:56] planner · proposed backlog item bk_0471 with 14 evidence links
- [01:53] analyst · flagged spike in TypeError at /api/ingest (prod, last 6m)
- [01:50] instrumenter · mounted feedback widget on experiment var_b
- [01:47] reporter · generated weekly digest (23 insights, 4 shipped)
- [01:44] outreach · re-engaged 11 dormant users after feature ship_0194
- [01:41] planner · demoted bk_0392 after new evidence from session sess_8821
- [01:38] analyst · linked error err_4420 to onboarding funnel step 2
- [01:35] instrumenter · patched missing event on billing/upgrade success
- [01:32] outreach · scheduled 3 interviews tagged #churn-signal
AI ships code in minutes.
Product discovery still takes weeks.
Coding agents have compressed the build step by two orders of magnitude. Everything around it — instrumentation, telemetry, user contact, prioritization — has not moved.
Telemetry lags behind shipping.
New features ship without the events, logs, or feedback hooks needed to tell whether they work.
Analytics is read, not acted on.
Dashboards are checked weekly. Agents can ship a dozen changes in the time it takes a PM to notice a funnel regression.
Users are a research project.
Interviewing, surveying, and re-engaging users is slow, manual work that rarely feeds back into the backlog.
Six stages. One system of record.
Autopilot is a skill the agent reaches for at every stage of the loop. The same data store powers the dashboard, the sub-skills, and the decisions that follow.
Stage 01 · Instrument
Every change ships with the telemetry and feedback surface it needs.
A PostToolUse hook inspects each Edit and Write. When a new screen, endpoint, or flow lands, Autopilot drafts the telemetry events and mounts the feedback widget in the same commit.
- Drafts typed event calls next to the code they measure.
- Mounts feedback widgets on new surfaces by default.
- Writes contract tests that fail when events drift.
One surface. Humans and agents read from it.
The web app is a thin lens over the same data the skill queries. Loop health up top, agent activity on the right, everything linked to the evidence it came from.
Loop health · last 7 days
- [02:41]analyst
surfaced drop-off on /onboarding step 2 after release r_482
14 evidence links - [02:36]outreach
drafted interview request for u_913 (power user, 28d)
3 evidence links - [02:30]instrumenter
added 3 telemetry events in src/checkout/confirm.tsx
1 evidence link - [02:22]planner
proposed bk_0471 — fix onboarding step 2 copy
14 evidence links
Three pieces. One data model.
The skill produces and consumes the same signals the dashboard shows. The SDK is the only thing that touches your product.
A typed client that emits events, logs, errors, and feedback from your app.
Small, dependency-light client. Batched, typed, safe to ship on the edge.
Postgres-backed ingest, query endpoints, realtime stream over SSE.
Hooks and sub-skills. Reads from the web app, writes back agent activity.
Uses the skill. Its edits become telemetry; its decisions become evidence.
What Autopilot does that a stitched stack does not.
Most teams already run PostHog, Linear, and Sentry. Autopilot is not a replacement — it is the coordination layer that turns their output into decisions an agent can act on.
Existing tools do their jobs well. Autopilot doesn't replace them — it coordinates them. See Integrations.
Fits the tools you already ship with.
The SDK is the only required dependency. Everything else is an adapter: pull analytics from your existing source, push backlog items into the planner your team reads.
- Claude Codeagent
- Traceability Skillskill
- PostHogsource
- Amplitudesource
- Slacknotify
- Linearbacklog
- GitHubcode
- Emailoutreach
Your data stays where your data lives.
Autopilot runs on your infrastructure and writes to your repo. The system is built so the sensitive parts stay inside your perimeter by default.
- 01
Artifacts live in your repo.
Markdown artifacts (insights, backlog) live in your repo. No vendor lock-in.
- 02
Telemetry stays on your Postgres.
Telemetry goes to your own Postgres. Self-host the dashboard or run it locally.
- 03
Outreach is draft-only.
Outreach is draft-only by default. No emails send without your approval.
- 04
No training on your data.
No model training on your data. Your signals are never re-used.
Common questions, answered.
Start closing the loop.
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