Using AI Writing and Summarising Tools Well
AI writing tools are genuinely useful for drafting, restructuring and summarising, and genuinely unreliable for facts. The difference between a helpful assistant and a source of embarrassment is almost entirely in how you use it.
This guide covers briefing, verification, privacy and a review process that keeps you responsible for what goes out under your name.
Brief it like a colleague
A vague request produces vague, generic prose. A good brief names the audience, the purpose, the tone, the length and the constraints — the same things you would tell a new team member.
Compare 'write about our product' with 'write a 120-word paragraph for a landing page aimed at small-business owners, plain language, no exclamation marks, focused on saving time rather than features'. The second gets something usable on the first attempt.
Give it the material
Models are strong at transforming text you supply and weak at recalling specifics they were never given. If you need accurate details about your own product, policy or data, paste the source material in and ask for a rewrite rather than asking the model to remember.
This one habit removes the majority of fabricated details, because the model is now editing rather than inventing.
When summarising is trustworthy
Summarisation is the most reliable AI task, because the source is in front of the model. It works well for long articles, meeting transcripts, research papers and dense reports.
It is least reliable where precision matters most: exact figures, dates, legal obligations and negations. A summary that turns 'the clause does not apply to contractors' into 'the clause applies to contractors' is a small textual change with a large practical consequence. Always verify numbers and negations against the source.
What never to paste in
Content sent to a model leaves your device. Treat the input box as you would a message to an external contractor.
- Passwords, API keys, tokens and private keys.
- Customer personal data, health records and financial identifiers.
- Unreleased material under a confidentiality agreement.
- Anything you would need to report if it were disclosed.
A review process that works
Read the output as an editor rather than a reader. Check every factual claim against a source you trust, delete the padding sentences that state the obvious, and rewrite at least a few lines in your own voice so the piece does not read like everyone else's.
The useful mental model is that the assistant produces a first draft at speed, and you remain the author. Publishing unreviewed output is where AI writing goes wrong; using it to get past a blank page is where it earns its place.
Frequently asked questions
- Can AI writing tools produce factually accurate text?
- Only when the facts are supplied in the prompt. Models generate plausible language rather than verified information, so every claim needs checking against a trustworthy source.
- Is it safe to summarise a confidential document with AI?
- No. The document is transmitted to the model provider for inference, so confidential material should be redacted or handled with a local tool instead.
- How do I stop AI text from sounding generic?
- Specify audience, tone and constraints in the brief, supply real source material, and rewrite several sentences yourself so your voice is present in the final piece.