Retrace fork a failed AI agents run, replay it, prove the fix
Fork from failed agent runs and prove fixes before shipping—LangSmith doesn't do this.
Evidence home for the verdict-layer approach: pre-registered, reproducible trust evaluation of AI-generated code changes - silent wrong ships 17/50 → 0/50.
Fork from failed agent runs and prove fixes before shipping—LangSmith doesn't do this.
Trajectory tracking beats diffs for agent memory, but terminal recording isn't new.
Wraps existing libraries so AI can't touch the filesystem unless you explicitly allow it.
Constitutional governance for AI agents beats prompt injection with pre-execution enforcement.
Agent self-bootstraps with no frameworks, but novelty wears fast without real problem solved.
ReAct agent with 18 tools investigates incidents before you open Datadog dashboards.