Chaining GLiNER, DeBERTa and rules to block clinical conflicts in 0.79s
MaziyarPanahi · x · 2026-09-21
The author turned a joke into a working clinical workflow with three model families doing distinct jobs: locally-run GLiNER extracts entities (flags metformin), DeBERTa detects contradictions, and Jev (via typesafeai) returns a blockconflict decision; deterministic code handles the final fail-closed block/review rule, stopping the update and routing it to human review. The recorded run used 709 input + 52 output tokens and finished in 0.79s.
Related event: Three-Model Pipeline Catches Clinical Drug Interaction Conflicts(3 posts)→
More from coding & agent
- Photoroom reclaims ~1,000 idle GPU hours a week with SkyPilot across Slurm and Kubernetes — skypilot_org · 2026-11-12
- Indie Britpop AI music video built with Nano Banana Pro, Kling, and free lip-sync via WAN2GP + LTX 2.5 — cocktailpeanut · 2026-11-12
- Cloudflare Talk: Swapping Some Agent LLM Calls for Fast Models Like Jev Gives Big Speedups — michellechen · 2026-11-12
- Engineer Curates 15 AI Agent Design Patterns Across Single-Agent, Multi-Agent and Feedback Tiers — MaryamMiradi · 2026-11-12
- Google Antigravity rolls out browser use, closing the loop from research to coding to live verification — rseroter · 2026-11-12
- Prettier 3.10 ships new Flow/JS syntax and a Zig-powered Yuku plugin — Vjeux · 2026-11-12