Collaborative AI agent development, training, and evaluation — one workspace where your team authors agent skills, evaluates changes together, and delivers continuous performance improvement.
The problem today
Agent instructions scattered across Google Docs, Notion pages, Slack threads, and hardcoded strings
One person edits the prompt, everyone else discovers the change when the agent breaks
Testing means pasting prompts into a playground and eyeballing the output
No version history, no rollback, no way to compare what changed and why performance shifted
Agent quality degrades over time because nobody owns the improvement loop
What we provide
Structured constitution editor — agent skills as versioned, modular blocks the whole team authors together
Team collaboration — everyone sees every change, who made it, when, and why. No surprises.
Built-in evaluation — run agent behavior tests against your constitution, compare versions, catch regressions before deploy
Full version control — diff any two versions, pin production to a tested version, roll back in one click
Continuous improvement loop — edit → evaluate → compare → promote. Your agent gets better every cycle, measurably.