Many people get stuck at step one of writing: what to write today. Topic block is rarely a true lack of material — it’s that the ideas in your head are too vague to be specific questions. AI is great here. It won’t think for you, but it will help turn vague into clear.
Feed AI Raw Material First
Asking “give me 10 topics” usually yields generic titles. Better: feed raw material first — your field, your audience, the real problems you’ve hit lately, the questions clients keep asking, the mistakes you’ve made. The more specific the input, the more usable the output.
A useful input structure:
- Who I serve (audience)
- What they keep asking me lately
- What I’ve done recently and what went wrong
- Ask AI to generate “questions a reader would actually search for”
Turn Ideas Into Question Sentences
A writable topic is usually a question, not a noun. “AI tools” isn’t a topic; “how a non-engineer can use AI to write small scripts” is. Have AI rewrite each vague theme into 3–5 concrete question sentences — you’ll instantly see which are writable and which are still too thin.
Build a Topic Bank, Not a One-Off List
Save each batch of usable topics into a standing topic bank (a single table is enough), tagged by status: to-write / drafting / published. That way you always have inventory, you never start from zero, and ideas have a home when they arrive. AI keeps refilling it; you filter and judge — that’s the sustainable rhythm.