AI Decode Wire
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Reasoning Models Explained: What AI “Thinking” Actually Is
The thinking you watch scroll past is a summary, not the model’s working. What reasoning tokens are, what they cost, and when the extra wait is worth it.
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RAG Explained: What “Upload Your Documents” Actually Does
Upload a file to an AI tool and it never reads the whole thing. What retrieval actually does to your document, why answers still miss, and when to skip it.
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Tokens, Pricing and Why Your AI Bill Looks Like That
Why an AI chatbot costs several times what its visible text suggests, worked through one 10-turn chat at Claude, OpenAI and Gemini prices checked 25 Oct 2026.
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Why AI Forgets Mid-Conversation: Context Windows, Explained
A context window is everything an AI model can see at once. How tokens fill it, why answers slip long before it is full, and what to do in long chats.
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How to Fact-Check AI Output: A Five-Minute Routine
A five-step routine for checking AI answers before you rely on them, plus a worked example of an AI summary that misread a real court order four times.
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A Practical Guide to Prompting
Most prompting advice is folklore. These are the techniques that reliably change output quality, why they work, and the ones you can safely ignore.
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AI Agents Explained: What They Actually Do
An AI agent is a model that can take actions and keep going until a task is done. That loop is the whole difference — and it is also where the failures come from.
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Why AI Makes Things Up (And What to Do About It)
AI models invent facts because inventing facts and recalling them are the same operation. Here is what causes it, what it looks like in the wild, and the habits that catch it.