Getting started
Choose the right first build, then create your first agent or workflow in Lunnoa Automate.
Lunnoa Automate helps teams create AI agents and workflows without starting from code. This guide is for a first session: open your workspace, choose a small business process, then build either a first agent or a first workflow.
Choose what to build first
| Build | Choose this when | Example |
|---|---|---|
| Agent | A person should chat, ask questions, or get guided help | A policy Q&A assistant, invoice intake assistant, or supplier support assistant |
| Workflow | The same steps should run in order every time | A request approval flow, recurring report, or form-to-notification process |
Many real processes use both. A workflow can call an agent, and an agent can use tools that trigger workflow actions. For your first session, choose one starting point so testing stays simple.
First session checklist
Open the right workspace
Sign in to Lunnoa Automate and confirm the workspace name matches the team or environment you intend to use. If you have access to more than one workspace, use a test or training workspace for your first build.
Pick a project
Agents and workflows live inside projects. Use an existing project if the process belongs to it, or create a small project for onboarding examples.
Check access
Make sure you can create the thing you are building. Agents need an available AI Connection and model. Workflows may need app connections before actions can run.
Use demo data first
Avoid real customer records, production approvals, or sensitive documents while learning. Use a short sample document, a test email, or a simple manual trigger.
Build your first agent
Use this path when the first user experience should be a conversation.
Open Agents
Go to Agents under Build, then click New Agent.
Choose a project and name
Select the project and give the agent a job-based name, such as
Policy Q&AorInvoice Intake Assistant.Configure the basics
Open Configure. Set Profile & instructions, then choose AI settings. The minimum useful setup is a clear name, description, instructions, AI connection, and model.
Add only one useful capability
If the agent answers from documents, enable one Knowledge notebook. If it should take an action, add one Tool or MCP integration. Do not add everything at once.
Test in Build
Return to Build and ask three prompts: one easy success case, one case that should use knowledge or a tool, and one case the agent should refuse or escalate.
For the full setup guide, see Create and configure an agent. For every configuration area and option, see Agent configuration reference.
Build your first workflow
Use this path when the first user experience should be a repeatable process.
Open Workflows
Go to Workflows under Build, then click New Workflow.
Choose a trigger
Start with Manually Run for your first build. Manual triggers are easier to test because you decide exactly when the workflow runs.
Add one action
Click the + on the canvas and add one simple action. For example, send a message, create a draft record, or call an agent.
Configure and test the node
Click the node, fill required fields, connect any required app account, then use Save & Test if the action supports it.
Save, run, and inspect the result
Click Save, run the workflow manually, then check Monitor executions to confirm what happened.
For a click-by-click canvas guide, see Build on the canvas. If you prefer describing the process in chat, see Chat to workflow.
A good first example
Try one of these:
| Goal | Start with | Why it is good for learning |
|---|---|---|
| Answer a policy question | Agent + one Knowledge notebook | Shows instructions and document grounding |
| Collect an internal request | Agent with clear questions | Shows conversation design without risky actions |
| Send a weekly reminder | Workflow with manual or schedule trigger | Shows triggers, actions, and executions |
| Ask for approval | Workflow with Flow Control approval | Shows human decision points and run history |
Next steps
- Learn the platform concepts: Business users
- Build with agents: AI agents
- Build repeatable automations: Workflows
- Connect external services: Apps
- Prepare production setup: Deploy