Path
Get startedTalk to usLog in
Gemini logo

AI & Tools

Build more with Gemini.

Google's Gemini AI models for text generation, embeddings, and multimodal capabilities. 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

Multimodal intake assistant

Turn approved text and images into a structured intake draft for staff review.

02

Research synthesis workspace

Organize source material into a concise draft with links back to the evidence.

Start with the multimodal intake assistant.

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

  1. 01
    Gemini
  2. 02
    Multimodal intake assistant
  3. 03
    Reviewed next action
  1. 01

    Choose the first job

    Use the first idea as your brief: Turn approved text and images into a structured intake draft for staff review. Name the person responsible and the information they need to act.

  2. 02

    Confirm access before connecting

    Confirm the chosen model supports the input types you need. Review generated content and avoid unnecessary sensitive data.

  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 Gemini; 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 Gemini: Multimodal intake assistant. Turn approved text and images into a structured intake draft for staff review. Start with sample data and a small, approved set of records. Before connecting live data: Confirm the chosen model supports the input types you need. Review generated content and avoid unnecessary sensitive data. 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