Enables AI coding agents to enforce spec-driven development and verify code before it is marked done, using six tools that catch invented APIs, scan for hallucinated content, check plugin conformance, sandbox-run tests, validate schemas, and record audit evidence.
Fact-checks and fixes AI outputs by catching hallucinations, repairing broken JSON, and correcting errors before they reach users, with tools for verification, validation, and correction.
Enables AI agents to verify proposed actions through federated adversarial consensus among multiple LLMs, providing Ed25519-signed attestations to prevent hallucinations, unverified counterparties, and compliance risks before execution.