Certification Ledger.
21 Failure Signals.
Architecture is non-duplicative. Neither layer sees what the other sees. Neither layer sends what the other sends. Together they provide full failure surface coverage.
"No tool can force a model to learn faster. We automate everything else."
Analyzes training dynamics via anonymized scalar telemetry. No access to weights, data, or source code required. Points to api.plarv.com.
Open source local hooks running entirely on your infrastructure. Zero data transmission. Identifies internal rot by checking parameter distributions locally.
Correcting the 80% that kill dead runs.
Where Argus is honest about uncertainty.
History Calibration required to establish healthy baseline dynamics.
Brief signal noise expected during aggressive restarts (< 5 steps).
Detection floor at 0.001 loss units. Argus is a runtime intervention tool.
The Validation Protocol.
We have transitioned all forensic benchmarking and protocol validation to our open-source registry. Access the clinical benchmark suite, contribute to signal logic, and manage your training proof-tests directly on GitHub.
All proof tests are open-source and run locally on standard hardware. They require a valid Argus API Key and point directly to the canonical endpoint at api.plarv.com.