#safety

Quantize an LLM and check it still refuses what it should — a GPU-aware quantization CLI that measures the safety drift of the quantization it just performed.

Production plumbing for LLM apps in TypeScript: context, cost, testing & governance primitives. Python-interoperable.

Rivet — SDLC traceability for safety-critical systems. Schema-driven artifact management, validation, and lifecycle linking. Part of the PulseEngine toolchain.

Verification guards for OpenAI Responses API - Verify AI agent outputs before execution

📝 Generating, validating and processing secure forms in PHP. Handy API, fully customizable, server & client side validation and mature design.

The agent framework where the model never holds the trigger — every consequential action clears your policy first, waits for a human when it matters, and lands on a record you can verify. Build on it, or put it around the agent you already have.

Two-person rule CLI for AI coding agents: peer review and approval required before running potentially destructive commands

Production plumbing for LLM apps: context, cost, testing & governance — composable, framework-agnostic Python libraries.

PostgreSQL migration linter. Blocks unsafe migrations before merge: 112 rules, the real Postgres parser, lock analysis, auto-fix. CLI, GitHub Action, MCP.

Companion intelligence for autonomous agents with real-time supervision, escalation, and human approval loops.