Superplan is a CLI-first execution layer that locks AI agents into structured, step-by-step task workflows — with defined scopes, explicit checkpoints, and traceable outputs you can audit and rerun.
The problem
Chat-based agents drift. They hallucinate scope, loop on ambiguity, or finish the wrong task entirely. The problem isn't the model — it's the absence of structure. Superplan closes the gap.
How it works
Write a task with explicit scopes and checkpoints. Superplan turns it into an execution plan the agent follows — not a prompt it interprets.
Each scope runs in isolation. The agent completes one checkpoint before unlocking the next. No skipping. No drifting. No surprises.
Every output is logged, traceable, and rerunnable. Debug what failed. Rerun from any checkpoint. Build the confidence to ship.
Who it's for
You're building workflows that mix AI with real APIs and databases. Superplan gives your agents a scaffold that won't collapse in production.
You're using agents to write, test, and ship code. Superplan keeps them scoped to the task — not free-ranging through your entire codebase.
You're replacing manual workflows with agent pipelines. Superplan gives you the audit trail to trust what the agent actually did.
Early access
Superplan is in private beta. Join the waitlist and we'll reach out when your spot opens.