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Context, Not Prompts, Drives Consistent AI Answers

Your Prompts Aren’t the Problem❌ A full guide to getting consistently better answers from AI👇 When you use an AI assistant and think “Why is it suddenly confused?” Or “Why did this work 5 minutes ago but not now?” It’s rarely about wording. It’s about context. What the model sees What it doesn’t see And what got buried along the way. When tasks get complex, models don’t fail because they’re “dumb.” They fail because they’re working with the wrong information at the wrong time. This is where context engineering comes in. Instead of asking: 👉 “How do I phrase this better?” You should ask: 👉 “What information should the model see right now?” That single shift changes everything: • Fewer hallucinations • More consistent answers • Better multi-step reasoning • More reliable agents and workflows In this new video, I break down: • What “context” actually means (beyond prompts) • Why adding more text often makes things worse • How context rot happens in long tasks • How AI systems manage context 🎥 Full video here: https://t.co/PYpxN4GFHX As Andrej Karpathy puts it: "Context engineering is the delicate art and science of filling the context window with just the right information for the next step."