An AI agent that mines Grain for the moments that matter.
Connect Grain and an OpenHelm agent can review new recordings and highlights on a schedule, collect the customer quotes and insights worth keeping, and assemble them into digests and a searchable data table for product and marketing.
Recurring jobs
What an OpenHelm agent can do with Grain.
Each of these runs as a scheduled, self-correcting job: you describe it in plain English, approve the plan once, and an independent evaluator checks every run against the goal.
Customer-quote library
Extract notable customer quotes from each call into a data table tagged by theme, ready for product decisions and marketing proof points.
Highlight digest
A weekly email of the best moments across calls, with links back to the source clips in Grain.
Feature-request tracking
Log feature requests and pain points mentioned in calls, deduplicated and counted, so the loudest themes surface with evidence.
Get started
Connect Grain in minutes.
- 1
Connect Grain
Add Grain under Connections in the OpenHelm app and paste a scoped API key, or provision it programmatically with POST /v1/connections.
- 2
Describe the job in plain English
Tell OpenHelm what you want done and how often. It drafts a plan with a schedule, the tools it will use, and a clear definition of done.
- 3
Approve the plan
No job fires until you have reviewed the plan. Set the autonomy level to control whether writes execute directly or queue for your approval.
- 4
It runs, self-checks and reports
Runs execute in isolated cloud sandboxes on schedule. An independent evaluator scores each run against the goal, and results arrive as logs, emails or data-table rows.
For developers
Or provision the connection over the API.
curl https://api.openhelm.ai/v1/connections \
-H "Authorization: Bearer oh_live_..." \
-H "Content-Type: application/json" \
-d '{ "name": "Grain", "type": "token", "secret": "<your Grain API key>" }'
# secret is write-only: stored encrypted, injected only at run timeThe same connections back runs started over REST. See the AI agent API and the Connections API docs.
Related ways to put agents to work with Grain:
Common questions about the Grain integration
Meetings & calls
More integrations in this category.
Put an agent to work in Grain this week.
Connect once, describe the job, approve the plan. From then on it runs on schedule, checks its own work, and reports back with evidence.