Agent Execution
Execute complex workflows.
Run agents that can complete multi-step tasks, reason between actions, and proactively engage users when they need permission to proceed.
Task Execution: Release v2.1.0
Please finalize the v2.1.0 release. Merge the pending PR, update the Jira epic to Done, and deploy to staging.
Action: Merge Pull Request
$ github.merge_pr(id: 1142, strategy: 'squash')
Action: Update Jira Epic
$ jira.update_status(ticket: 'CORE-90', status: 'Done')
Action: Trigger Deployment
Waiting for approval
$ vercel.deploy(target: 'staging', branch: 'main')
Beyond questions and answers. Agents aren't just for reading documents. Equip them with the tools they need to actually do the work.
FIG 0.1
Complex tasks
Give your agent an overarching goal. It will break the goal down into discrete actions, sequence them correctly, and execute them automatically.
FIG 0.2
Step-by-step reasoning
Agents do not execute blindly. They read the output of Action A, verify it was successful, and use that context to formulate the payload for Action B.
FIG 0.3
Proactive engagement
Maintain oversight. If an agent hits an error it cannot resolve, or if it needs to execute a destructive action, it pauses and proactively asks a human for guidance.
Questions and answers
Common questions about agent actions.
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