Clustering LLM Decisions Into 30 Enums: A Faster Alternative to Free-Text Outputs
julianharris · x · 2026-09-16
The author clustered production decisions into 30 predefined responses, turning TypeSafe outputs into small enum sets with probabilities instead of free text. He notes it's not apples-to-apples, but fixed enums drastically reduce the host harness's parsing work and speed up results.
More from coding & agent
- Unsloth launches desktop app to run and train LLMs locally — thisdudelikesAI · 2026-09-16
- 160 agents ran overnight: tokenmaxxing vindicated — kevinnbass · 2026-09-16
- Dev builds Chrome extension putting AI inside WhatsApp Web, seeks free beta testers — ManufacturerLast7833 · 2026-09-16
- How to Debug a RAG System: A Six-Step Framework from Retrieval to Guardrails — ashishllm · 2026-09-16
- Factory Life: Six free sessions on building with a team of AI agents, from Warp to Hermes — intellectronica · 2026-09-16
- Coding agents write code faster, but debugging them is stranger and more tedious — tengyanAI · 2026-09-16