Make.com AI Agent Tutorial – Build a No-Code Assistant That Works 24/7
Kevin Stratvert delivers one of the most accessible Make.com AI agent tutorials available, guiding you through the process of building a no-code assistant that works around the clock. Starting from a blank scenario, Kevin explains every module, connection, and decision point so you can follow along regardless of your technical background. The tutorial covers the full lifecycle: connecting Make.com to OpenAI's API, designing conversation flows that feel natural, adding memory so the agent remembers context across interactions, and deploying the assistant to platforms like Slack, email, or a custom web interface. Kevin emphasizes practical use cases---customer support triage, lead qualification, internal knowledge base queries---so you leave with ideas you can implement immediately. What sets this tutorial apart is Kevin's attention to edge cases and error handling. He shows you how to build fallback logic when the AI is uncertain, how to route complex queries to human team members, and how to monitor agent performance over time. By the end, you'll have a working AI agent and the confidence to extend it with custom modules, additional data sources, and more sophisticated automation logic. The best part: once built, the agent runs 24/7 on Make.com's infrastructure with no servers to manage.
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About This Video
Kevin Stratvert delivers one of the most accessible Make.com AI agent tutorials available, guiding you through the process of building a no-code assistant that works around the clock. Starting from a blank scenario, Kevin explains every module, connection, and decision point so you can follow along regardless of your technical background.
The tutorial covers the full lifecycle: connecting Make.com to OpenAI's API, designing conversation flows that feel natural, adding memory so the agent remembers context across interactions, and deploying the assistant to platforms like Slack, email, or a custom web interface. Kevin emphasizes practical use cases---customer support triage, lead qualification, internal knowledge base queries---so you leave with ideas you can implement immediately.
What sets this tutorial apart is Kevin's attention to edge cases and error handling. He shows you how to build fallback logic when the AI is uncertain, how to route complex queries to human team members, and how to monitor agent performance over time. By the end, you'll have a working AI agent and the confidence to extend it with custom modules, additional data sources, and more sophisticated automation logic. The best part: once built, the agent runs 24/7 on Make.com's infrastructure with no servers to manage.
What You'll Learn
- ♦How to set up OpenAI API connections within Make.com for AI agent functionality
- ♦Designing conversation flows with context memory so your agent remembers user history
- ♦Deploying your AI assistant to Slack, email, and web interfaces for real-world use
- ♦Building fallback and escalation logic to handle edge cases gracefully
- ♦Practical use cases including customer support triage, lead qualification, and knowledge base search
- ♦Monitoring and debugging your agent's performance with Make.com's built-in logging
- ♦Extending your agent with webhooks, custom APIs, and additional data sources