Relevance AI Agents: No-Code Agent Builder + Marketplace
What it is
Relevance AI lets teams describe an agent in plain language, refine it in a drag-and-drop builder, connect tools, add evals, and monitor quality, cost, and activity through dashboards. The agent marketplace gives founders prebuilt starting points instead of blank-canvas builds.
Why we picked it
Excellent resource for showing students what production-minded agent deployment looks like: oversight, RBAC, monitoring, evals, and repeatable agent workflows.
How you might use it
Operations work is often invisible until something breaks. This fits the Run Smoother Operations workflow, which is about fixing the processes you run more than once a week. Pick one of those processes and test it there first.
Visit the resource
Go to relevanceai.comOpens the official site in a new tab.
More from M5: Operations Automation
Microsoft 12-Lesson AI Agents Course (Free, GitHub)
Free 12-lesson curriculum from Microsoft covering the fundamentals of building AI agents, from tool-calling and multi-ag...
IonRouter: High-Throughput, Low-Cost AI Inference Router (YC W26)
YC-backed inference routing platform that automatically selects the cheapest/fastest AI model for each request across pr...
Model Context Protocol (MCP): The Missing Standard for AI Agents
MCP (launched by Anthropic, Nov 2024, now widely adopted in 2026) is an open standard that lets AI agents connect to any...
Composio Agent Orchestrator: Open-Source Multi-Agent Tool Management
Open-sourced in late Feb 2026. Composio's Agent Orchestrator solves a critical problem: when AI agents have too many too...
The guided path
Want the guided path? The playbook shows you what to build first, step by step.
Seven workflows. The best tools from this library, arranged into a sequence that gets your first automation running in your first session.