Otter.ai logo

AI & Tools

Build more with Otter.ai.

Meeting conversations, transcripts, and action items. Shape those capabilities into a system that fits your team.

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

The possibilities

What could you build?

01

Conversation research library

Search permitted conversation transcripts and connect findings to the meeting that supplied the evidence.

02

Meeting action review desk

Collect action items from accessible conversations into a review queue before turning them into assigned work.

Start with the conversation research library.

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

  1. 01
    Otter.ai
  2. 02
    Conversation research library
  3. 03
    Reviewed next action
  1. 01

    Choose the first job

    Use the first idea as your brief: Search permitted conversation transcripts and connect findings to the meeting that supplied the evidence. Name the person responsible and the information they need to act.

  2. 02

    Confirm access before connecting

    Otter API access requires an Enterprise workspace. Preserve conversation sharing boundaries when displaying transcripts or action items.

  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 Otter.ai; 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 Otter.ai: Conversation research library. Search permitted conversation transcripts and connect findings to the meeting that supplied the evidence. Start with sample data and a small, approved set of records. Before connecting live data: Otter API access requires an Enterprise workspace. Preserve conversation sharing boundaries when displaying transcripts or action items. 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.