Multi-model AI agent

One control center for
every AI engine.

A multi-model AI agent setup means you don’t live in six browser tabs. MegaPad is a desktop command center: assign ChatGPT, Claude, Gemini, Grok, or DeepSeek to lanes, watch status, hand off tasks, and Accept or Reject the result.

Why multi-model

Single-model tools force a false choice.

Different jobs win on different models. A real multi-model agent workflow lets you run engines in parallel and keep the better answer — not swear loyalty to one lab.

Race two engines

Same task on Claude and GPT. Accept the winner. That’s multi-model, not multi-tab chaos.

Local-first keys

BYO API keys stay on your machine, or use hosted lanes when you don’t want consoles.

Agent status you can see

Idle, thinking, done, error — command-center LEDs on screen (and on a pad later).

How it works

Tasks in. Decisions out.

Describe the job. Agents run. You don’t babysit chat transcripts — you review outcomes. Effort controls how hard a lane thinks. Skills package repeated work.

  • Assign providers to A1–A6
  • Send work · watch status
  • Accept or Reject
  • Optional: reserve physical pad

vs cloud-only agent apps

Tools like Manus-class products deliver finished work in the cloud. MegaPad adds a local control surface, multi-provider choice, and a path to a desk instrument — without designing a PCB on day one.

Pricing signal

Pay when you believe the category.

Free tier when downloads are public. Founding $99 is live now — refundable deposit toward Pro + pad queue. No inventory required from you the buyer until metal exists.