AI writing tools are genuinely useful, and genuinely limited. Understanding both sides helps you get value from them without publishing something you regret.
What AI writing does well
- Getting started: producing a first draft or outline in seconds.
- Rephrasing: offering alternative ways to say something.
- Summarising: condensing text you provide into shorter versions.
- Brainstorming: generating lists of ideas, angles and questions.
- Adjusting tone: making text more formal, casual or concise.
- Structuring: suggesting headings and a logical order.
What AI writing can't reliably do
- Guarantee facts: AI can produce confident, plausible and wrong statements, including invented sources. Always verify.
- Have real experience: it cannot tell you what it was like to use a product or run a business. Only people can.
- Sound like you by default: without guidance and editing, output tends toward generic phrasing.
- Know what is current: depending on the tool, information may be out of date.
- Take responsibility: the person who publishes is accountable for what is said.
Practical rules for using AI in writing
- Keep the purpose and argument yours.
- Treat AI output as a draft, never a final version.
- Verify every factual claim against a reliable source.
- Never present AI-generated content as personal experience.
- Edit until it sounds like you.
- Be open about AI use where your audience would expect to know.
Where to go next
If you want to put this into practice, start with the beginner's guide to an AI-powered writing workflow, or see how editing assistants and AI writers differ.