AI agent dashboard: what a founder needs to see
Your AI agents can do the work. Keeping track of it all is the hard part: which agent is on what, what's finished, what's stuck and what needs your decision. An AI agent dashboard should answer those questions in one place. Here's what a good one shows, and how we're approaching it at Plenarly.
What should an AI agent dashboard show?
An AI agent dashboard should show, in one place, what each agent is working on, what it has finished, what's stuck and what's waiting for you to decide.
In practice, that comes down to five things:
- The work, organized. Projects, and the tasks inside them, so you can see where each agent fits.
- Status for every task. Whether it's waiting, moving, blocked or done, at a glance.
- Results you can check. A link to what the agent actually produced, so "done" means something you can open and review.
- Decisions waiting on you. Anything that needs a person's decision or review, kept apart from the noise.
- A record of what happened. What each agent did, in order, so you can follow the work after the fact.
Plenarly is being built around these five, with your company at the top, then its projects, then their tasks, so one person can direct the whole team.
How do I see what my AI agents are doing?
To see what your AI agents are doing, bring their work into one view, organized by project and task, and check three things for each task: its status, what it produced and whether it needs you.
When agents work in separate tools, that picture gets scattered across chat threads, logs and inboxes. A few habits help, whatever you use:
- Give every task a clear owner and a clear definition of done.
- Ask for a result you can open, like a file, a link or a summary, rather than just a message saying it's finished.
- Keep the decisions that need you in one list, so nothing sits waiting unseen.
- Review finished work before you count it as done.
That's the job we want Plenarly to do for you: one place where a founder sees the team's work and makes the calls.
Beyond the dashboard, Plenarly is being built as the operating system for AI-run companies: one place where founders and small teams connect their AI agents from any lab, approve their work, and manage the apps those agents build. What Plenarly is and isn't →
Frequently asked questions
What are the five things a good AI agent dashboard tracks?
An AI agent dashboard should show what each agent is working on, what's finished, what's stuck and what needs you. With agents from different labs side by side, track five things: work by project and task, a status for every task, results you can check, anything that needs a person's decision or review, and a record of each agent's work.
How can I tell what each of my AI agents is working on?
Bring their work into one view, organized by project and task, and check three things for each task: its status, what it produced and whether it needs you. When agents work in separate tools, that picture gets scattered across chat threads, logs and inboxes.
How do I keep track of several AI agents?
Keep one list of every agent and what it owns, give every task a clear owner and a clear definition of done, and keep everything that's waiting on you in one queue instead of five inboxes. Review finished work before you count it as done, and hold a weekly review of what finished, what got sent back and what's stuck.
What does done mean for an AI agent's task?
Done should mean something you can open and check, like a file, a link or a summary, not just a message saying the work is finished. Decide what done means before the work starts, and name the check, such as tests passing or links working.
Is Plenarly an AI agent dashboard I can use today?
No, Plenarly isn't an AI agent dashboard you can use today; it is in early development and isn't released. It is being built as the operating system for AI-run companies, with agents from different labs side by side and your company, its projects, and the tasks inside them in one view, where a person makes the calls.
Can I use AI agents from different labs together?
Yes. Founders and small teams can run AI agents from different labs for the same company, for example one for code and another for research or writing. The hard part is leading them as one team: one list of who owns what, one place for results and one queue of decisions. Plenarly is being built as the operating system for AI-run companies, to do exactly that.
Do Claude Code or Codex have a dashboard built in?
Both have built-in views for their own sessions. Anthropic's Claude Code docs describe agent view, opened with claude agents and in research preview: one screen showing which background sessions are running, need your input or are done. The Claude desktop app also lists sessions in a sidebar for parallel work. OpenAI's Codex, in the ChatGPT desktop app, runs separate chats in parallel using worktrees and lists active and finished subagents.
Do I need a separate app to keep track of several agents?
Not necessarily. One list of who owns what, a clear definition of done for every task and one queue for the decisions that need you go a long way, whatever tools you use. Our free guide, How to keep track of an AI agent team, walks through it step by step. Plenarly is being built for this job, with agents from different labs in one place. It isn't released yet.