Desk display, dashboard tab, terminal or phone: four ways to watch your AI agents

The thing all four are competing on

Delegating to an agent is easy now. What is hard is everything after the delegation: knowing whether it is done, whether it is stuck, what it has cost, and whether it is quietly waiting on you.

The useful way to compare the options is not by features but by the cost of checking. Every method has one, and it is paid in attention rather than money. When checking is expensive, you do it less, and the gap between "the agent got stuck" and "you found out" grows. That gap is where the money goes and where the wall clock goes.

So: four methods, and what each one actually costs you to check.

1. The terminal you launched it from

Cost of checking: low for one, brutal past three.

Nothing beats the terminal for depth. You see the raw output, the exact error, the full reasoning if the runtime prints it. For a single agent it is not just adequate, it is the best tool on this list, and you should not replace it.

It falls apart on multiplicity. Four agents means four windows you must arrange, remember, and cycle. There is no total: you cannot see combined spend, because nothing is adding it up. And it is strictly pull, so a blocked agent sits blocked until you happen to switch to its tab.

Best for: debugging one agent deeply.
Worst for: knowing anything about all of them at once.

2. A browser dashboard

Cost of checking: a context switch, every time.

A dashboard solves the aggregation problem properly. Every agent in one view, real totals, history, transcripts you can read, cost you can break down by model and by session. For actual analysis, this is where the work happens, and no small screen replaces it.

Its weakness is not capability, it is friction. It lives in a tab, and a tab must be opened, focused and read. That is a real interruption, so you do it a few times a day rather than continuously. And the failure mode is worse than it sounds: an open dashboard tab behind your editor feels like monitoring, but a tab you are not looking at is not monitoring anything.

Best for: analysis, history, cost breakdowns, policy, transcripts.
Worst for: continuous awareness while you are doing other work.

3. Phone notifications

Cost of checking: zero, until it is too high.

Push has one unbeatable property: it reaches you when you are not at your desk. If an overnight agent needs an approval, only your phone is going to tell you.

The problem is calibration, and it is unforgiving in both directions. Notify on everything and you train yourself to swipe the alerts away, which is worse than no monitoring because it feels like monitoring. Notify on almost nothing and you miss the thing you built it for. Notifications are also inherently discrete: they tell you an event happened, not what the current state is. "Agent stuck" at 11:04 tells you nothing about whether it is still stuck at 11:20.

Best for: away from the desk, and genuinely urgent single events.
Worst for: continuous state, and anything that fires more than a few times a day.

4. An always-on desk display

Cost of checking: as close to zero as this gets.

This is the ambient option, and it is the same trick as a wall clock. You never open a clock, you glance at it while doing something else, and the glance costs you nothing. Because it costs nothing you do it constantly without deciding to, which means the gap between "something went wrong" and "you know" collapses to roughly however often your eyes drift.

What it buys you is latency, not depth. A 4 inch screen cannot show a transcript and should not try. It shows the four things worth knowing continuously: what you have spent today, who is working, what is stuck, and who is waiting on you.

The costs are equally real. It is a physical object that needs desk space, power and WiFi. It is another thing to set up. And below about three concurrent agents it does not earn its place, because at that scale your terminal is already showing you everything.

Best for: continuous awareness across many agents, and unblocking fast.
Worst for: depth, history, and anyone running a single agent.

Side by side

What actually to run

These are not really competitors, and treating them as a single choice is the mistake. They fail in different places, so the sensible answer is a small stack rather than a winner.

One agent: your terminal. Add nothing. Genuinely.

Two or three agents: terminal plus a dashboard. Install the free ClawMetry software with pip install clawmetry and you get the aggregation without buying anything.

Four or more, across different tools: dashboard plus an ambient display. The dashboard is where you analyse; the display is where you notice. This is the pairing that covers both failure modes, because the display fixes the dashboard's friction problem and the dashboard fixes the display's depth problem.

Overnight or unattended runs: add push, tuned tightly. One or two event types only, or it decays into noise within a week.

Where the ClawMetry Device fits

We build the ambient option, so treat this section as interested rather than neutral. The ClawMetry Device is a 4 inch always-on screen that shows every agent you run at a glance, across OpenClaw, NVIDIA NemoClaw, Claude Code, Codex, Cursor, Aider, Goose and more, and lets you approve, pause or stop one with a tap on the glass.

The reason it pairs well with a dashboard rather than replacing one is exactly the split above: it is built for latency, not depth. Transcripts, cost analysis and policy stay in the web app, which is free and self-hostable. The device exists to make noticing free.

It is $49 once with no device subscription. We have written an honest pros and cons list including the cases where you should not buy it, because a display you bought for a single agent is a paperweight.