Hamel Husain on building custom LLM output review interfaces domain experts will use
HamelHusain · x · 2026-10-20
Hamel Husain and Shreya Shankar answer what makes a good custom interface for reviewing LLM outputs: since domain experts should review logs, generic observability dashboards don't cut it — build your own annotation tool. Key recommendations: render traces in domain-native form (emails as emails, code with syntax highlighting) with less-important details collapsed; keep reviewers in flow with progress indicators and hotkeys; and support clustering, filtering, and search so reviewers can spot recurring failure modes. You rarely need every feature — make a judgment call for your domain.
More from coding & agent
- Measuring Agent Skills With Evals: How to Tell if an Instruction File Actually Helps — blaizedsouza · 2026-10-20
- Minos: premeasured experimental worlds for studying how AI agents do science — rbhar90 · 2026-10-20
- Anthropic engineer publishes the full prompts behind a dozen Opus 5.5 code-made films — EricBuess · 2026-10-20
- uv author explains: env markers as decision diagrams, minimal equivalent DNF is computationally hard — charliermarsh · 2026-10-20
- uv's scaling pain: complex resolutions explode the intermediate DNF, clause comparison gets expensive — charliermarsh · 2026-10-20
- Yeufonic: open-source frontend for YuE2/ComfyUI aimed at musicians, with local LoRA training — AcrobaticMaize2408 · 2026-10-20