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Build your own JARVIS-style command center.

Create a private AI dashboard that can read your tools, answer questions, and propose useful actions for your approval.

THE CONTROL LOOP · ILLUSTRATIVE

Useful automation starts with an honest stop button.

A private command center with evidence before action

Observe
Revenue, leads, traffic, projects, or content metrics arrive with source and freshness.
Ask
The assistant answers from narrow read-only tools and names what it could not verify.
Propose
One bounded next action appears with its payload, destination, risk, and expected effect.
Approve
Nothing external runs until you approve that exact, single-use proposal.
Learn
The result and failure state enter an audit log for the next review.
An illustrative architecture, not a connected account or autonomous-agent claim. Your implementation should begin with one verified read-only workflow.

A useful AI command center is not a talking dashboard with fake numbers. It knows which data is live, answers from evidence, and separates suggestions from actions. You decide what it can see and nothing runs without your approval.

YOU’LL WALK AWAY WITH

A safe build plan, a complete coding prompt, and a path to download Keith’s working Mission Control code.

Codex or Claude Code · a local web stack · only the services you choose to connect

01 / Decide what your command center should know

Start with three questions you regularly ask about your work: what changed, what needs attention, and what should happen next. Connect only the data needed to answer those questions. Revenue, traffic, leads, projects, and content can each be separate modules rather than one giant integration.

Every panel should identify whether it is showing live data, demo data, stale data, or an error. A polished number without provenance is worse than an honest “not connected” state.

  • Observe: collect a small set of trusted metrics.
  • Ask: answer questions from those metrics and cite the source.
  • Propose: recommend one bounded next action with reasoning.
  • Approve: show the exact action before anything external happens.
  • Learn: record the decision and outcome for the next review.

02 / Choose the prompt or the working code

The prompt below helps Codex or Claude Code build an original command center around your own tools. It starts with a short interview, keeps credentials server-side, and makes external actions propose-only until you approve them.

If you would rather begin with Keith’s working Orbit Mission Control code, join the free Keith AI community. The code and supporting AI resources are available inside the community so you can start from a real implementation instead of an empty folder.

BUILT BY KEITH

Download the Mission Control code

Join Keith AI free, then use the community’s code and setup resources to build your version.

Join Keith AI on Skool

03 / Keep the first version private and reversible

Run the first version locally or behind authentication. Use read-only API keys wherever possible, keep every secret on the server, and make demo data visually unmistakable. Do not expose a single-user dashboard to the public internet without an authentication and deployment review.

Voice is optional. A clear typed assistant with trustworthy answers is more valuable than speech layered over unreliable data. Add task execution only after the read-only experience works, and require a human approval record for every external action.

  • Never send service keys, database credentials, or SSH keys to the browser.
  • Do not let an AI call arbitrary shell commands or arbitrary URLs.
  • Make retries idempotent so a timeout cannot create duplicate posts, emails, or payments.
  • Keep an audit log of proposals, approvals, results, and failures.
  • Use an original product name and visual design; “JARVIS-style” describes the interaction idea, not an affiliation.
READY TO MAKE IT YOURS?

Get the exact prompt.
Make it your own.

You’ve seen how it works. Unlock the copyable prompt and the remaining steps to try it yourself.

  • Copy the build prompt
  • Prove one honest workflow
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