People often complain AI is “vague, generic, doesn’t fit my situation.” The usual root cause is simple: before you ask, it knows nothing about you, so it falls back on the most average answer on the internet.
The pro move is to feed it context first — drop in the background, your past documents, a sample of what you want, and only then ask. Now AI isn’t guessing your intent; it’s answering from the material you gave it. That extra step looks redundant, but it’s the single biggest divide between a generic reply and one that reads like you wrote it.
When to use it
When you want copy that matches your company’s style, answers in your terms, or a summary built from a stack of materials — feed first, ask second.
How to do it
- Figure out what AI would need to know but currently doesn’t — background, source material, a sample of the result you want
- Send that material first and say plainly: “read this first, don’t answer yet”
- Once it’s all in, ask your real question and require it to “answer strictly based on the above”
- Not happy? Add more or correct: “you missed the point in doc 2,” “match the sample’s style more closely” — converge step by step
Weak vs strong
On the left, AI can only produce copy that would fit any company; on the right, with samples and selling points in hand, it writes something that carries your brand’s voice and is usable as-is.
Copy-paste prompt
I’ll give you some material first — read it and don’t answer yet:【paste background / past documents / a sample of what you want】. Then, strictly based on the above, help me【your exact task】; don’t invent anything the material doesn’t contain — ask me if something’s missing.
Worked examples
You get：It answers strictly in your document’s terms instead of inventing a generic refund policy from the web — a big win for support and Q&A.
You get：With a real sample, AI drops the cookie-cutter “Dear valued customer” tone and mirrors your phrasing — the email reads like you wrote it.
Level up
- Use long-context models: when there’s a lot of material, models like Kimi and Claude handle long documents well — feed big chunks, then ask
- Feed in batches: if it’s too much, send several messages and say “reply ‘got it’ and I’ll continue; start only after I’ve sent everything”
- Have it recap first: before the real question, add “summarise the key points you understood in three sentences” to confirm it didn’t misread before it acts
Common mistakes
- Asking right away: with no material it can only go generic, and follow-ups are an uphill battle — feeding context first is the cheapest fix
- Dumping material with no instruction: always add “based on the above, do X,” or it won’t know what you want
- Assuming it read everything: with long material it may miss parts — have it recap the key points before you rely on it
FAQ
Is the material I feed it safe — could it leak?
My material is very long — what if the model can’t hold it all?
Pro tip：Remember one thing: the quality of AI’s answer is capped by the quality of what you feed it. A minute spent on context often beats ten rounds of follow-ups.