01
Recording research library
Organize accessible recordings and meeting notes into a searchable library for a defined research project.
AI & Tools
Build more with Grain.
Meeting recordings, transcripts, and AI notes. 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?
02
Meeting handoff workspace
Review meeting takeaways and prepare a handoff that keeps the original recording available as context.
Start with the recording research library.
Keep the first version small enough to test with the people who will use it.
- 01Grain
- 02Recording research library
- 03Reviewed next action
- 01
Choose the first job
Use the first idea as your brief: Organize accessible recordings and meeting notes into a searchable library for a defined research project. Name the person responsible and the information they need to act.
- 02
Confirm access before connecting
Prefer a personal Grain token. Workspace tokens grant full workspace data access, and API requests require a supported version header.
- 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 Grain; keep source IDs so records stay traceable.
- 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 Grain: Recording research library. Organize accessible recordings and meeting notes into a searchable library for a defined research project. Start with sample data and a small, approved set of records. Before connecting live data: Prefer a personal Grain token. Workspace tokens grant full workspace data access, and API requests require a supported version header. 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.