Agent dashboard: what managers see

You hired an AI coding agent. It is writing code, shipping features, and committing to your repo. But when you open your project management tool, there is no row for it. No status update. No standup. It is doing work, and you have no idea how much or how well.

The Dailybot agent dashboard changes that. It gives managers a single view where every agent in their organization reports its status, health, and recent work, right alongside human activity.

What the dashboard shows

The dashboard presents each registered agent as a card with its current health status (healthy, degraded, or offline), the timestamp of its last report, and a summary of recent activity. You can expand any agent to see its full timeline of reports, structured data from completed work, and any blockers it has flagged.

At the top, summary statistics give you the big picture: total agents, active today, total reports this week, and any agents that haven’t reported in a while. These numbers help you spot silent failures before they become expensive.

Agent health monitoring

Every agent can send periodic health signals to Dailybot. A green status means the agent is running and reporting normally. Yellow indicates degraded performance or missed reporting windows. Red means the agent is offline or has failed.

For managers, this is the difference between discovering an agent failure three days later in a code review and catching it the same morning in a quick dashboard scan. When an agent goes silent, you know immediately.

The agent detail view

Clicking into a specific agent opens a detail view with its full report history, filtered timeline, and metadata. You can see which branches it worked on, which plans it executed, and how its output volume has changed over time.

This level of detail helps in retrospectives and capacity planning. If one agent consistently produces high-quality output on backend tasks but struggles with frontend work, you can adjust assignments accordingly.

Practical value for leadership

For CTOs and VPs of Engineering, the dashboard answers a straightforward question: “Are our AI investments producing results?” Instead of anecdotal evidence, you get quantified output alongside your human team’s metrics, in the same format, on the same timeline. This makes budget conversations about AI tooling much more grounded.