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AI & Tools

Build more with OpenRouter.

Unified API gateway to hundreds of AI models from multiple providers. Shape those capabilities into a system that fits your team.

See what you can buildGet a starter prompt

Build concepts, not preinstalled apps. Provider plans, permissions, and API availability apply.

The possibilities

What could you build?

01

Model comparison lab

Compare selected providers on your actual business prompts in a controlled workspace.

02

AI task routing workbench

Route approved workloads to selected models based on task needs and budget.

Start with the model comparison lab.

Keep the first version small enough to test with the people who will use it.

  1. 01
    OpenRouter
  2. 02
    Model comparison lab
  3. 03
    Reviewed next action
  1. 01

    Choose the first job

    Use the first idea as your brief: Compare selected providers on your actual business prompts in a controlled workspace. Name the person responsible and the information they need to act.

  2. 02

    Confirm access before connecting

    Review every provider's data handling and model availability. Set allowed models, spending limits, and fallback behavior.

  3. 03

    Shape the app with Scout

    Use the starter prompt below. Ask Scout to propose the records, source field mapping, views, and access rules. Preview sample data before connecting OpenRouter; keep source IDs so records stay traceable.

  4. 04

    Pilot, then expand

    Test with a small approved dataset and a least-privileged user. Check missing records, revoked access, repeated events, and failed requests. Enable live writes or messages only after the responsible owner approves the workflow.

Start with this prompt

Paste into Scout, then adapt it to your team. Do not paste credentials or private customer data.

Create this app with OpenRouter: Model comparison lab. Compare selected providers on your actual business prompts in a controlled workspace. Start with sample data and a small, approved set of records. Before connecting live data: Review every provider's data handling and model availability. Set allowed models, spending limits, and fallback behavior. Propose the data model, access rules, and source-to-app field mapping before implementation. Add source links, a last-updated time, and clear empty and connection-error states. Keep credentials out of client code. Require human approval for external messages, source changes, or money movement. Test duplicate events, revoked access, and recovery before publishing.

Make it work your way.

Start with Scout, or map the first build with our team.

Get startedTalk to us