Quickstart
Create an agent, give it useful context, and complete your first run.
This quickstart takes you from an empty workspace to a useful agent you can test in a chat. You can add a team, pipeline, or trigger after the basic behavior is reliable.
1. Describe the outcome
From Home, describe one real task in the builder. Be specific about the input, desired result, and what a good answer should contain.
Good starting tasks are bounded and easy to verify, such as summarizing a document, classifying incoming text, or turning structured notes into a report.
2. Create the agent
Open Agents, choose Create agent, and provide:
- a name that describes the role;
- a short purpose that describes the outcome;
- instructions covering behavior, constraints, and output;
- a model appropriate for the task.
Save the agent before adding optional tools or advanced execution settings.
3. Add useful knowledge
Open Knowledge, stay on the My Files tab, and upload the documents the agent should use. Keep source material focused: unrelated files make retrieval noisier and make incorrect answers harder to diagnose.
Once you are working in an organization with other members, an Org Library tab appears alongside My Files for material that should be shared across the workspace. A personal workspace has no one to share with, so the tab stays hidden until then.
4. Test in a chat
Open Chats, start a conversation with the agent, and send a representative request. Check the answer itself and the run details behind it.
Test at least three cases:
- a normal request;
- an ambiguous request;
- a request the agent should refuse or clarify.
5. Automate only after it works
When the agent behaves consistently, put it into a pipeline, a team, or a scheduled or webhook-driven flow.
Automation multiplies both reliable behavior and bad assumptions. Stabilize the agent first.