Welcome back to Tech Break by Friday. I promise to make it up to you for missing a week on uploading an episode. Today’s topic is a really exciting one for me. We talk about Context Engineering, and it changes the way we talk and think about AI. This is why some AI tools can provide the answer you need based on your situation, acting as a personal guide. Well, some other tools make you throw away your laptop, and you seem to get nowhere.
Have you ever asked ChatGPT or another AI tool to help with something specific to your business, only to get a response that's technically correct but completely useless? Like asking for help with your marketing strategy and getting generic advice that could apply to literally any business on the planet? That's not a model problem - that's a context problem. And today, we're going to solve it.
Here's a wild stat for you: According to industry leaders like Andrej Karpathy, who co-founded OpenAI, most AI failures aren't because the AI isn't smart enough. The issue is that the AI doesn't have the correct information at the right time.
Think about it like this - imagine hiring the world's most talented personal assistant, but every morning they walk into work with complete amnesia. I don’t remember yesterday, no understanding of your business, no access to your files or contacts. How helpful would they actually be?
That's how we've been using AI. And Context Engineering is how we fix it.
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Sources:
https://arxiv.org/abs/2507.13334
.https://www.philschmid.de/context-engineering
https://x.com/tobi/status/1935533422589399127
