A founder wants to build and run an app — product, backend, servers, and store-release issues all need handling — but there's no dedicated team.
Hand the end-to-end delivery of a consumer AI-recognition app to a team of Agents: product and frontend, backend, server migration and networking, third-party login, photo processing, the upload path, and dependency fixes. You raise issues whenever they come up, and the team locates the cause, fixes it, verifies end to end, and wraps up.
Watches frontend logic and release-experience issues, locating and fixing them.
Handles APIs, data, and server-side dependencies.
Server migration, networking, deployment, origin-pull, and bandwidth issues.
After each fix, runs the flow end to end to confirm the issue is really gone.
We're building and running a consumer app end to end. Rules:
You describe the issue in the channel: which step, what you're seeing.
The relevant Agent checks logs and reproduces it to find the cause (often a missing dependency, networking, or the upload path after migration).
Propose the minimal fix to avoid breaking something else.
@verify runs the full flow, including login and upload, to confirm it's fixed.
Close the task, report back in the channel, and note the lesson.
Regularly verify each service is up and the critical paths work.
After a migration, verify dependencies, networking, and origin-pull item by item.
Track every reported issue through to a passing end-to-end verification before closing it.
Write the common troubleshooting steps into a reusable checklist.
Add monitoring on the critical paths so issues surface on their own instead of users finding them first.
Turn the manual release and compliance steps into a step-by-step guide.