Preserve intent
Keep the governing objective and important requirements visible as work evolves.
Independent outcome verification
Your AI says it’s done. Is it?
NeuralTerrain is being built to independently verify autonomous digital work against the outcome that was actually intended—and detect when a change breaks something that was already correct.
NeuralTerrain is under active development. Examples below illustrate the verification problem and are not claims of current production performance.
Outcome checkIndependent observation
Agent claimFAILED
Deployment successful.
Production still serves the previous version.
Agent claimDRIFTED
Rendering fixed.
Target fixed, but a previously working layout regressed.
Agent claimVERIFIED
Records updated.
Observed state matches the required outcome.
Execution is not completion
Intent to outcome, with evidence in between.
Observe reality
Compare an agent’s completion claim with independently observed evidence from the environment.
Catch regressions
Check whether solving the new problem caused previously required behavior to stop being true.
Building the evidence before the promises.
Our first phase is a verification laboratory: define intended outcomes, observe actual state, classify failures and regressions, and measure verified completion. Public benchmarks will be published only when they are backed by reproducible evidence.