coding agent
Patch adapter and prove it
Agent added a telemetry adapter, exported it, and covered the decision thresholds with focused tests.
Proof, not policy theater
Governed AI agents with results receipts.
SCBE Proof Workbench packages agent work into a buyer-readable record: the task, the gate decision, the output, the tests, the evidence, the rollback note, and the human approval state.
Run one governed job.
Pick a sample. The workbench turns the same governance idea into something a user can evaluate: what happened, what passed, what was blocked, and what needs human approval.
Generate a demo receipt.
Paste a workflow request. This browser-only mock classifies the risk and returns the kind of audit receipt a paid Workflow Snapshot would deliver with real evidence.
mock receipt
Source-grounded review
Physical governance probability block.
The aerospace work stays non-confidential in public: reduced models, coupon readiness, funding fit, and near-term saleability. It proves the same governance rail works for sensors and agents.
Directional microchannels
Most fundable as a small pressure-regulated coupon study: bounded physics, clear test rig, and a buyer can understand the pass/fail result.
What makes it sellable.
Users see outcomes
Every run shows the completed work, failed checks, evidence, and next action. No one has to buy abstract governance.
Risky actions stop
Writes, sends, secrets, and system changes can be held for approval or denied before the user pays for the mistake.
Receipts travel
The receipt is the artifact: useful for developers, researchers, contractors, and teams that need proof of what the AI actually did.
Market entry
Sell the first version as a workflow proof snapshot.
Customer sends one agent workflow. We return a proof map: task path, gate map, missing evidence, unsafe tool routes, and three fixes. The static workbench demo shows the product shape before they buy.