After this lesson, you will be able to: Build a team of specialised AI agents in Relevance AI that collaborate on a complex task with role assignment and shared context.
Relevance AI's pitch: build a 'team' of agents, researcher, writer, reviewer, and orchestrate them like a tiny company. This lesson builds a content team that researches, drafts, and reviews, and coordinates handoffs between agents.
One agent ≈ one role. A researcher gathers facts; a writer drafts; a reviewer critiques and refines. The orchestrator passes context between them. It's how a real human team works, and how Relevance AI is structured.
1. Sign up at relevanceai.com.
2. Click 'Build an Agent'. Pick 'Custom'.
3. Role: 'You are a research assistant. Search the web for facts and return 5 verified bullet points.'
4. Add Tool: 'Web Search' (built in).
5. Test: 'Research the top 3 trends in remote work for 2026.' Watch tool calls in the trace panel.
1. Create a second agent: 'Writer'. Role: 'You take research bullets and draft a 400-word blog post.'
2. Create a third agent: 'Reviewer'. Role: 'You critique drafts for clarity, accuracy, and tone. Return revised draft.'
3. Build a workflow: Researcher → Writer → Reviewer. Output of each agent feeds the next.
4. Run end-to-end with one topic input. Inspect each agent's output in the trace.
Embed widget, drop on any site. API. POST to trigger the team. Slack/Teams integrations, agents that live in your team's chat. Scheduled, run the whole team on a cron.
Sign in and purchase access to unlock this lesson.