Point it at Jira, a ticketing portal, an internal admin console — anything with a browser UI. It signs in with you, scans what it can see, and hands back a list of the things it now knows how to do. You approve the list; it keeps the capability.
Every request you make produces a pod — a named, durable unit you own. Chain pods into a pipeline, or set a flock of them working the same job in parallel. Each pod carries its own retrieval over its own data, so it answers for itself.
Six things the terapod does, from first connection to the question you ask it three months later.
Give it a URL and a name. Ask in the chat or use the form — both arrive at the same place, and both end with a pod you can reopen.
connectA real browser opens for authentication — you sign in, it never asks for your password. Then it explores only what your account can already reach.
authenticateDiscovered forms, grids, and workflows come back as a plain list for approval. Nothing is saved as a capability until you say so.
approveEverything a pod reads or writes is indexed against that pod. "Which invoices are still unpaid?" is answered from what it has actually seen — and refreshed from the source when it hasn't.
retrieveA row lands in a spreadsheet pod; a task appears in your Jira pod. Podchains link one pod's output to the next, with the mapping stated explicitly — never guessed.
podchainSplit a backlog across three or four pods working at once, with concurrency held in check and results merged — no duplicated work at the far end.
flockYou stay in the loop at the only points that matter — what it may reach, and what it may do.
Say it the way you'd say it to a colleague. The orchestrator reads your intent and routes it to the right handler.
A browser opens; you authenticate. The agent scans only what that session already grants it.
Review the forms, grids, and workflows it found. Keep what's useful, drop the rest.
The pod persists, named from your request — ready to run again, answer questions, or join a podchain.
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Each pod retrieves over its own data before it answers, so a reply traces back to something the agent actually saw rather than to something it inferred.
Discovery is separated from execution. The agent proposes; you approve; only then does anything change in the system it drives.
Generated code runs in an isolated executor with step and time quotas — never in the process serving your requests.
Connect one app, approve one capability, and see what an agent that knows your tools can take off your desk.
Try terapod