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Your AI Agents Finally Have a Control Tower

Erdeniz Korkmaz
4 min read
Your AI Agents Finally Have a Control Tower

If you've been running more than one AI coding session at a time, you know the chaos. Terminal tab one is doing something, tab two is waiting for your approval, tab three has gone quiet and you can't remember why. You're the bottleneck, and your attention is the scarce resource.

xAI just shipped the Agent Dashboard in Grok Build, and it's a direct answer to that problem.

What it actually does

Run grok dashboard from your shell (or hit Ctrl+\ from inside any session), and you get a single terminal screen showing every active Grok Build session at once. Not a list of names but a live view: what each agent is doing, how long it's been running, and whether it's blocked and waiting for you.

The dashboard sorts sessions by state, with anything waiting for input pulled to the top. So instead of hunting through tabs to find the blocked thing, it's already there. You peek at the output, reply inline, and keep moving. Idle sessions get your message immediately; active ones queue it until the current turn finishes.

Running work across multiple repos? You can group sessions by working directory with a single keystroke. Subagents that a parent session spawned roll up under it, so you see the work you dispatched rather than a fan-out of sub-tasks you didn't manually start.

Dispatching a new session takes a line of text at the bottom of the screen. Enter sends it and keeps you on the dashboard overview; Shift+Enter opens it straight away. Before you send, you can set the model or flip it into plan mode. When you genuinely need to get into a session, open it, take over the conversation, then drop back to the dashboard when you're done. Close the dashboard entirely and every session keeps running.

Why this matters more than it looks

Multi-agent development has been a workflow problem more than a capability problem for a while. The tools can run in parallel. The human managing them can't context-switch at the same speed. Every time you have to hunt for a blocked session or lose track of what a subagent was doing, you're burning time and concentration.

The Agent Dashboard doesn't add new AI capability; it removes friction from the orchestration layer. That's actually the harder thing to build well. Routing your attention to what needs it, surfacing state without overwhelming you, letting you dip in and out without losing context. These are UX problems as much as engineering ones, and the terminal-native approach keeps everything fast and focused.

This kind of oversight tooling also matters for reliability. When you're running multiple agents across a codebase, catching a stalled session early or stepping in before an approval goes wrong is genuinely valuable. It's not just ergonomics; it reduces the chance of a runaway agent making a mess while you're looking the other way.

The broader direction is clear: serious AI-assisted development is moving towards fleets of specialist agents with a human acting as coordinator. Tools that make that coordination fast and low-friction are going to be part of every professional dev workflow within the next year or two.

Where Dakik fits in

We've been building and shipping multi-agent systems for clients for a while now, and the orchestration layer is always where the complexity lives. Individual agents are usually the easy part; what to do when they stall, how to surface their state, how to keep a human appropriately in the loop without killing the speed advantage — that's where it gets interesting. (We've written about how AI coding tools are turning into full platforms in a recent post, and the Agent Dashboard is exactly another step in that direction.)

If you want to bring this kind of agentic workflow into your product or your dev process, we can help you structure it properly. Whether that's a RAG pipeline with Qdrant that agents can query at runtime, a custom orchestration layer in TypeScript or Node that routes tasks to the right model, or a full feature build in React or Next.js, this is the kind of work we do every day. Drop us a line if you've got a use case and want to talk through it without the slide deck.

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