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Mission Control for AI assistants

Mission Control is the difference between “the assistant knows many things” and “the assistant knows what matters now.” It is a compact control surface for priorities, blockers, active projects, owners, and resume points.

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In this guide

What Mission Control is The essential fields Copy-ready Mission Control template When to update Mission Control Mission Control anti-patterns Example: active project card Next step

What Mission Control is

Mission Control is a file or dashboard the assistant reads before deciding what to do. It should not be a long archive. It is the steering layer for active work.

It answers: what matters now, what is active, what is blocked, what the human owns, what the assistant owns, and where to resume after interruption.

The essential fields

Highest Priority: the current main outcome.
Active Projects: status, next action, owner, blocker, resume point.
User-Owned Items: decisions, approvals, access, inputs.
Assistant-Owned Items: safe tasks the assistant can move forward.
Blockers: honest missing pieces.
Resume Points: where a fresh session should restart.

Copy-ready Mission Control template

# MISSION-CONTROL.md

## Highest Priority
- [Main outcome right now]

## Active Projects
### Project: [Name]
- Status: [Current truth]
- Next Action: [Smallest safe next action]
- Owner: [Human / assistant / both]
- Blocker: [If any]
- Resume Point: [Where to restart]

## User-Owned Items
- [Approvals, access, decisions]

## Assistant-Owned Items
- [Safe internal tasks]

## Blockers
- [Named blockers only]

## Resume Points
- After reset: read startup files, this file, and active project status.

When to update Mission Control

Update Mission Control after meaningful work blocks, when priorities change, when a blocker appears, when a user gives approval, and before ending a session with unfinished work.

For active business operations, review it on a schedule. For personal projects, review it at the beginning and end of focused work sessions.

Mission Control anti-patterns

Making it too long to review.
Using vague statuses like “in progress” without a next action.
Hiding blockers.
Mixing every project detail into the control layer.
Forgetting to update resume points.

Example: active project card

### Project: Launch AI Operator Starter Kit
- Status: product page live; SEO articles being expanded.
- Next Action: publish five stronger resource pages and verify HTTP 200.
- Owner: Assistant.
- Blocker: none.
- Resume Point: check resources folder, sitemap, deployment status, production URLs.

FAQ

Why not just use a todo list?

A todo list tracks tasks. Mission Control tracks priority, state, blockers, owners, and resume context for an AI operator.

How long should Mission Control be?

Short enough to review quickly. Put detailed project history in project files, not in Mission Control.

Next step

If you want the fast implementation path, start with the AI Operator Starter Kit. If you want the deeper doctrine, use the AI Operator Playbook. If you want guided setup support, choose AI Operator Foundation Setup.

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AI Operator Playbook is an independent educational and implementation framework. It is not an official OpenClaw product.