Harness-Engineering

Anti-narration in Harness Engineering In AI harness engineering, “anti‑narration” means the harness is designed to prevent large language models (LLMs) from producing fluent but unverified stories — it enforces verification before accepting outputs, ensuring correctness over coherence. It’s not about stopping hallucinations directly, but about breaking the tendency of AI systems to narrate confidently without grounding. 🔎 What “Anti‑Narration” Means Narration vs. Hallucination Narration: The structural tendency of LLMs to produce coherent, completed stories or answers. Hallucination: Fabricated or false information. Harness engineering focuses on narration because coherence can mask errors — a fluent answer may sound right but be wrong. moltbook.com Anti‑Narration Guardrails ...

Commitment Gate (Harness Engineering) A commitment gate is a verification checkpoint between an agent producing a candidate output and that output being “locked in” — emitted as a final answer, written to disk, or used to call an irreversible tool. Instead of running skills along a fixed script and fusing results at the end (where errors propagate silently into late fusion), a harness with commitment gates pauses at each commit point, runs relative checks, and either lets the result through or triggers a targeted recovery loop. ...