Your stack.
Alive.

Watch services connect, a deploy break, and Interim investigate — then approve what happens next.

Illustrative film — not live workspace data

What Interim does

Notice.

Investigate.

Propose.

Approve.

Connect engineering services. Surface what broke. Separate confirmed evidence from hypotheses. Recommend a next step — and wait for you.

When something breaks

The system reacts.
Interim responds.

Production deploy
ERROR
GitHubProjectVercel

Commit 6f5e2b4 on JadonChou/interim — path lit for investigation

Illustrative demonstration — proposed actions require human approval.

Connect the stack.
Keep it clear.

Start with the tools you already run. See them as one system.

GitHub
Vercel
Supabase
Cloudflare
Sentry
Linear

Browse integrations

Questions

What’s in private beta?

The loop that matters: connect GitHub + Vercel, see your stack on a map, Ask with evidence, investigate a break, propose a fix, and open a PR only after you type APPROVE. It is not a full cross-project knowledge base yet.

What does Interim access?

Only the providers you connect, and only the permissions you grant in each provider’s auth flow. You can disconnect a service anytime from Integrations.

Can AI change my stack without asking?

No. AI can answer questions and draft proposals. Writes — like opening a pull request — only happen after you review and approve, within the repositories you allow in AI permissions. By default only the disposable sandbox repo is writable.

Do I need webhooks or sandbox verify?

No. Refresh the map when you want a fresh pull. Sandbox verification and live webhooks are optional extras — proposals and approve-to-PR work without them.

What can I connect today?

Start with GitHub and Vercel. Supabase and Cloudflare enrich the map when you add tokens. The marketplace lists more providers as they come online.

Is Interim free during beta?

Private beta access is free while we learn with early users. Pricing for a public launch isn’t set yet.

How is my data handled?

Account data, connected metadata, and encrypted credentials stay in your workspace. AI requests go to the configured model gateway when you use those features. Privacy Policy.