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.
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
Send broad research to Gemini, code-heavy work to Claude or Codex, and private steps to Ollama. RAPR keeps the whole chain visible.
The workflow graph, session history, memory, and execution controls live in the desktop app, not behind another hosted automation bill.
RAPR is for people who already use AI daily and want model orchestration, not another generic chatbot window.
Short answers for the search terms around ai orchestration.
AI orchestration means coordinating multiple models, tools, prompts, and outputs into a repeatable workflow instead of running isolated one-off chats.
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.