CopilotKit's CLiF turns AG-UI interaction data into evals, skills and fine-tuned models
techNmak · x · 2026-10-14
- Evals are claimed to be the most expensive problem today; AG-UI, the open agent–app protocol adopted by Google, Microsoft and AWS, captures both what agents did and what users did.
- CopilotKit built CLiF (Continual Learning from Fullstack Trajectories) on top of it: mining cross-session patterns to propose fullstack trajectory datasets, evals, skills, and fine-tuned models.
- Everything is exportable and can be self-hosted inside your own VPC.
Related event: CopilotKit Launches CLiF to Turn Real User Actions into Agent Training Data(2 posts)→
More from coding & agent
- PowerShell demo shows AI workflow to classify, rank and route requests — dfinke · 2026-10-15
- Expand Fetch launches: agents see the web, hits 74% vs Exa's 55% on hard extraction benchmark — bclavie · 2026-10-15
- Agent breaks prod, then fixes it itself: 502, Coolify logs, self-recovery — tristanbob · 2026-10-15
- With zero motion design background, dev crafts Apple-style launch film in 3 days using Opus 5.5 — Glittering-Art3723 · 2026-10-15
- iMCP 1.7.0 adds HomeKit control, voicemail transcripts, and editable Reminders for Mac MCP — pcuenq · 2026-10-15
- Snowflake FDE Podcast: Same Model, 25% to 85% Accuracy — Inside Frontier Engineering — ivory_tang · 2026-10-15