Model orchestration

AI orchestration without handing your workflow to another cloud.

RAPR AI coordinates multiple AI models and tools from one desktop app, so you can assign the right model to each step and keep the workflow under your control.

Mix cloud and local models in the same pipeline

Assign different models to different workflow nodes

Review outputs and rerun weak steps with a manager node

Run orchestration locally instead of inside a hosted wrapper

Use the right model per step

Send broad research to Gemini, code-heavy work to Claude or Codex, and private steps to Ollama. RAPR keeps the whole chain visible.

A desktop control layer

The workflow graph, session history, memory, and execution controls live in the desktop app, not behind another hosted automation bill.

Designed for technical users

RAPR is for people who already use AI daily and want model orchestration, not another generic chatbot window.

Questions people ask

Short answers for the search terms around ai orchestration.

What does AI orchestration mean?

AI orchestration means coordinating multiple models, tools, prompts, and outputs into a repeatable workflow instead of running isolated one-off chats.

How is RAPR different from cloud automation tools?

RAPR is local-first and uses the AI providers you already pay for, rather than charging an extra markup for running your steps through a hosted platform.