RobinettIndustries

Give an AI a job, not a prompt

Scout keeps its responsibility, memory, permissions, and history while the computers it runs on are created and destroyed. Assign it a task, approve the one action it cannot authorize itself, watch a verifier — not the model — declare it done, then destroy its environment, interrupt a run, and let the runtime recover from its own ledger.

The agent persists. Every action is governed. Every run is recoverable.

A sealed world, on purpose: simulated workspace environments, a fixture corpus of fictional products, publishing to this demo's own feed — and production-shaped runtime mechanics doing the actual work. Scout lives for this session (24h), then is deleted.

  1. 1 Meet Scout
  2. 2 Task One
  3. 3 The loop
  4. 4 Approval
  5. 5 Verify
  6. 6 Commit
  7. 7 Destroy
  8. 8 Task Two
  9. 9 Interrupt
  10. 10 Recover
  11. 11 Evidence
  12. 12 Free play

Give an AI a job, not a prompt

Scout is a persistent research operator: a durable record with a job, memory, capabilities, and authority boundaries — not a chat session, not a process, not a VM. You are about to give it a task, watch a runtime govern every action it proposes, then destroy its computer and watch Scout survive.

Choose how Scout's proposals are made. Both modes run the identical runtime; only the DECIDE seat changes. Live AI spends real model calls from the site's daily budget and can honestly fail — that failure is part of the demonstration.