10 minutesn8n vs Make: Don't choose the wrong one (2025)
Choose an automation platform based on hosting, AI-agent fit, integrations and maintenance tradeoffs instead of product hype.
OpenAI. This three-minute first-party video records how the OpenAI team presented o1 at launch. It is useful for understanding the category's history, but it does not establish how current models work internally or which prompting pattern will perform best on a different provider or task.
Keep this as historical source material, not as current implementation guidance or proof of a private reasoning process. Base production choices on current provider documentation, representative evaluations and checkable output evidence.
See the original o1 launch framing and separate that historical account from current implementation guidance.
Watch the primary pick first or read the companion article's reasoning-model section.
Last reviewed: Aug 11, 2026
Continue through the same learning path with the next curated companion videos.
10 minutesChoose an automation platform based on hosting, AI-agent fit, integrations and maintenance tradeoffs instead of product hype.
26 minutesBuild a first n8n AI-agent workflow while recognizing where tool access, memory and guardrails belong.
231 minutesSee how a support agent combines retrieval, escalation and workflow tools before production hardening.
Hand-picked external courses that go deeper on this topic.
Isa Fulford · Andrew Ng
Ninety minutes to a year's worth of intuition. If you've started writing code that calls an LLM — or you're about to — this is the most efficient course online for closing the gap between "playing with ChatGPT" and "shipping a feature that calls an LLM."
Microsoft Learn
Prompt engineering, but for the tool most office workers will actually touch first. Microsoft's own four-part prompting framework (goal, context, source, expectation) is a genuinely useful mental model, and unlike the generic ChatGPT prompting courses already in our catalog, this one is grounded entirely in Microsoft 365 Copilot's specific quirks and grounding behavior.
Dr. Jules White
The academic complement to DeepLearning.AI's short course — same discipline, longer arc, written for people who don't code. Dr. White teaches prompting as a set of reusable patterns (Ask for Input, Outline Expansion, Fact Check List, Menu Actions) rather than tricks. After this you'll prompt LLMs like a designer, not a guesser.