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Platform

Reasoning

A model router tuned per tier, never exposed as a raw API choice.

Overview

PawOS routes every request through an internal AI Provider Router. You interact with named Paw models (Flash, Swift, Core, Creative, Vision, Voice) matched to your tier — the underlying provider is an implementation detail, not something you have to manage.

How it works

  1. 1

    You ask

    A request comes in as text, voice, or an uploaded image.

  2. 2

    Route

    The right Paw model handles it based on the task and your tier.

  3. 3

    Respond or act

    The model either answers directly or calls a real tool to take action.

Use cases

  • • Getting the right capability for the job without picking a model yourself
  • • Vision-based tasks like recreating a design from a screenshot

Limitations

  • • Reasoning quality scales with your tier's model access — Go includes Paw Flash for planning and analysis; execution requires Pro