关于 AI 模型的实用文章——它们能做什么、价格如何，以及该选哪一个。
第 5 页，共 6 页
Live access to X and fewer refusals. What that is genuinely good for, and why fewer refusals is not the same as more accurate.
Tokens, context windows, RAG, agents, quantisation and open weights — in plain language, plus the words worth being sceptical of.
Not AI assistance — unhelpful content and scaled abuse. The patterns that hurt sites, and what makes AI-assisted content rank.
Most people searching this do not dislike Claude — they hit a cap. Which alternative fits depends on whether the gap is limits, live search or cost.
Gemini is strong on live search and Workspace and weak on prose. Which alternative fits depends on which of those you actually needed.
Four different things get advertised as free. What happens when you hit a cap, how to run several at once, and the privacy position.
AI is better at editing than originating. Write badly and fast, then improve it with help — and how to remove the AI signature.
Tools, a loop, and a goal. Where agents genuinely work, where they fail expensively, and how to spot a chatbot rebranded as one.
Data, accuracy, children, jobs, the companies, and building on it. Each has a practical answer; mixing them produces bad ones.
Reliable for understanding, risky for publishing. Formality, glossaries, back-translation, and the rule for anything customer-facing.