Скачать или смотреть Make AI Agents Explained: Live Demo & Interview with Make VP

Everyone is rushing to build AI agents — but most companies are setting themselves up for failure.

In this episode of The Neuron, Darin Patterson, VP of Market Strategy at Make, explains why agentic AI only works if your automation foundation is solid first. We break down when to use deterministic workflows vs AI agents, how to avoid fragile automation sprawl, and why visibility into your entire automation landscape is now mission-critical.

You’ll see real examples of building agents in Make, how Model Context Protocol (MCP) fits into modern workflows, and why orchestration — not hype — is the real unlock for scaling AI safely inside organizations.

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➤ CHAPTERS
Timecode - Chapter Title
0:00 - Intro
02:58 - Automation vs AI Agents: What Actually Counts as an Agent
5:39 - When AI Agents Outperform Traditional Workflows
10:10 - Start With the Problem, Not “We Need Agents”
11:56 - Demo: Building Visual Automations in Make
14:14 - Demo: Conditional Document Workflows in Make
20:20 - Demo: Mixing Deterministic Logic With AI
23:14 - Demo: Connecting AI to Your Tools (MCP Use Case Explained)
25:20 - Why More Context Can Hurt AI
27:45 - Choosing the Right Automation Trigger
30:54 - Maia by Make
37:07 - Where AI Automation Usually Fails
39:10 - Make Grid: A Visual Grid Of Your Automation
45:12 - Why Observability Matters for AI Agents
55:56 - Real-World Example of Using Make
57:45 - The Future of Make: From Automation to Proactive Optimization
59:36 - More from Make: academy.make.com & playbook.make.com

Resources:
Make Academy: https://academy.make.com/
Make AI Playbook: https://playbook.make.com/
OpenAI's Practicle Guide to Building Agents: https://cdn.openai.com/business-guide...

Hosted by: Corey Noles and Grant Harvey
Guest: Darin Patterson VP of Market Strategy, Make
Published by: Manique Santos
Edited by: Kush Felisilda