What this case covers
The author, lead coach of Shengcai's AI Video Deep Sea community, built an internal tools site and open-sourced the agent-peer-bridge collaboration framework. The article explains how colleagues submitted requests, developed features and checked results through Codex on the author's computer, and how permissions were gradually expanded.
Questions it answers
- Why did maintenance of the tools site depend entirely on the author?
- Why did having colleagues configure their own AI tools not work?
- How did the process change after the team shared the author's local AI?
- How did Anqi and Boni each use the system?
- Which actions still required the author's approval?
Our observations
- Sharing the AI was easier than moving context because the original AI already held that context.
- For this small team, per-person authorization instructions were a better fit than building a centralized information platform.
- Approval boundaries expanded gradually with trust, rather than being fully configured at the outset.
From the author
The most complete team context and the most mature AI collaboration practices were already in Codex on my computer. Why move the context to everyone else piece by piece instead of simply sharing this AI?