Practical writeups on AI models — what they do, what they cost, and which one to use.
The three generations, the four parts of a working system, and why grounding decides whether a deployment succeeds or embarrasses you.
Claude, Gemini, DeepSeek, Grok and Perplexity compared — what each is genuinely better at, and the switching cost nobody mentions.
An honest guide to using AI in a company — the workflows that reliably save time, the ones that cost you, and what to do first.
Two different products get called the same thing. What works, what to never automate, and how to stop a bot inventing your refund policy.
No IT department, no pilot budget, no time. The five uses that pay back immediately and the mistakes that waste money.
What AI is genuinely good at in marketing, what it's dangerous for, and how to stop the output sounding like everyone else's.
Three different categories get talked about as one. Which to use when, which model for code, and what they still get wrong.
The four things that improve results most, five prompts worth stealing, and the mistakes that waste your time.
Prompts that hold up for writing, thinking, extracting and code — plus the four-part pattern so you can write your own.
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