Jordan Wilson

speaker

35,089 appearances 78 recordings 1 series first heard Jun 2026 last heard yesterday

Jordan Wilson’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 78 in all, peaking in Jul 2026 with 23.

Appearances

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Everyday AI Podcast – An AI and ChatGPT Podcast · Ep 867: 2026 LLM Cheat Code: 10 Essential Steps To Get the Most out of Any AI Chatbot (Start Here Series Vol 26) · 22 Sep 2026 podcast

That's the only time you should be doing that. voice-verified

Right. voice-verified

Uh, so number five, understanding the context layer. voice-verified

And this part is important before we even dive into the you know best practices of context engineering. voice-verified

But context is essentially everything that an AI model can see or not see, right? voice-verified

Uh the the way that I've you know, we've taught uh you you used to do like two live uh you know kind of prompt engineering courses. voice-verified

A week for like two and a half years. voice-verified

Uh, and kind of the analogy I've always used. voice-verified

If if if you think back to the Star Wars credits from the original Star Wars, right? voice-verified

And it comes in and the words come in slightly slanted, and it says in a galaxy far, far away, right? voice-verified

And eventually the words they get smaller, smaller, smaller, and then they're off the screen. voice-verified

Think of that as a context window. voice-verified

Different models have different context. voice-verified

So essentially. voice-verified

You might be using a large language model or you might have a skill saved or a plugin or a workflow saved and you're using it repeatedly and all of a sudden, you know, started out great. voice-verified

And all of a sudden it's like, wait, this stinks now? voice-verified

You know, oh, you know, this company must have nerfed the model. voice-verified

Maybe, but probably not. voice-verified

Probably you just ran over your context window. voice-verified

So that's essentially the amount of information like a computer's hard drive that a large language model can retain. voice-verified

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