AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
Your feedback loop with the agent
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
Review and comment on plans, code diffs, frontend elements and send feedback directly to your agent.
Adaptive UI for each type of output
For agents, plans and code are all the same - it's just text, but for us, humans, reviewing generated plans and reviewing web application are two very different activities.
Crit adds a proper interface for each type of output and lets you point at the exact thing that is wrong and leave a comment for the agent to fix:查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
Review and comment on plans, code diffs, frontend elements and send feedback directly to your agent.
Adaptive UI for each type of output
For agents, plans and code are all the same - it's just text, but for us, humans, reviewing generated plans and reviewing web application are two very different activities.
Crit adds a proper interface for each type of output and lets you point at the exact thing that is wrong and leave a comment for the agent to fix:查看完整 README ↗