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.
AI Explained. The video offers an independent explanation of the early o1 framing and its prompting implications. It is useful historical context, but its claims about o1 should not be extended automatically to later OpenAI models, R1, Claude thinking modes or other providers.
Treat the o1 terminology and prompting claims as historical context. Check current provider documentation, test quality, latency and cost, and ask for checkable sources, calculations or test results rather than a hidden reasoning trace.
Understand one historical account of o1, then compare a direct task specification with other supported prompt variants on your current model and workload.
Basic prompting experience and familiarity with model names such as o-series, Claude extended thinking and R1.
Last reviewed: Aug 11, 2026
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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.