Three-gate production pattern aims to stop semantic drift in long agent loops
demirtasfurkan_ · reddit · 2026-07-26
The author argues that standard JSON-mode guardrails are not enough for long multi-agent workflows: after 10+ turns, models can drift semantically and even “smuggle intent” into free-text fields to escape schemas.
They describe a three-gate production pattern:
- Boundary Gate: strict token-level grammar masks at decode time
- Canonicalization Gate: normalize payloads before storage or hashing
- Invariant Validation Gate: deterministic checks before downstream consumers see the data
The post closes by asking where others draw the line between strict schema enforcement and allowing the model’s intent to remain flexible.
More from coding & agent
- Shopify design lead on AI-era workflow: designers are becoming full-stack editors — KlausCodes · 2026-10-26
- Ultrametric open-sources Open Startup Repo to let AI agents run startup operations — garrytan · 2026-10-26
- MCP fault injection study: agent task scores drop 60% under realistic tool failures, scale doesn't help — dair_ai · 2026-10-26
- General agents burn ~140M tokens/month on LinkedIn outreach; scripts do it 60x cheaper — ChrisHarpon2 · 2026-10-26
- OpenAI upgrades Decisions API: 400 questions per call, native voice and image support — OpenAIDevs · 2026-10-26
- NLI alone rejects 5/6 new agent memories; a 0.45 similarity gate fixes it all — Alternative_Pin9598 · 2026-10-26