Cloud AI Agent
Schedule an AI Agent
Set up an AI agent to run on a schedule in Bruin Cloud - generate daily reports, post Slack alerts, and trigger custom SQL queries.
Schedule the agent
1) Open scheduled agents
From the AI menu, navigate to Scheduled agents.
2) Create a new scheduled agent
Click New scheduled agent, give it a name, and pick the underlying agent it should use. The schedule inherits whatever connections, integrations, and CLI access that agent already has.
3) Configure the task
The configuration page has two halves:
- Right panel - the actual settings: name, schedule, instructions, notifications, custom SQL, output format.
- Left panel - a chat where you can describe the task in plain English and let an AI build the configuration for you.
Either set things up manually or describe the task and let the agent fill it in.
4) Set the schedule
Pick from built-in presets, or write a custom cron expression for full control.
5) Set up notifications
Pick a notification channel - Slack, Teams, WhatsApp, or any other integration that's already wired up to the underlying agent. Only integrations the agent has access to will appear here.
6) Optional - custom SQL or output format
You can manually:
- Provide a SQL query the agent should run.
- Specify an output format - for example a PDF report, a formatted Slack message, or a threshold-based alert.
More guides
Chat with an AI Agent
Use Bruin Cloud's chat to ask an AI agent about your data, generate reports, and run Bruin Cloud CLI tasks like pipeline status and history.
Configure AI Agents
Create and configure AI agents in Bruin Cloud - pick a project, add messaging integrations, attach a connection set, and set permissions.
Connect Bruin Cloud MCP to Claude Code
Set up the Bruin Cloud MCP so your AI agent can query pipelines, inspect runs, and trigger actions in Bruin Cloud directly from your terminal.