How can I use AI to write a blog post without it making up facts?

You can use AI to write a blog post without fake facts by treating it as a drafting assistant, not a research tool, and by strictly limiting its knowledge to sources you provide. AI models are built to predict the next most likely word, not to check a fact-checker's database. When you ask an open-ended question like 'write about the history of email marketing,' it might invent a plausible-sounding date or statistic because that makes the story flow better. The most reliable method I've used is to do the research yourself first. Gather your key stats, quotes, and dates in a simple bulleted list. Then, give the AI a prompt like this: 'Using ONLY the facts provided below, draft a blog post introduction about email marketing ROI. Do not add any external data or statistics. Facts: [paste your bullet points here].' This cages the AI's creativity to your verified information. It can still structure sentences and find a good flow, but it won't pull a fake 1998 study out of thin air. For the final draft, you still have to verify every single claim it makes, even from your own notes, because it might misinterpret a date. Think of it like a very fast intern who's a brilliant writer but has a shaky memory. You wouldn't let them publish without checking their work. This process is often faster than writing from scratch, but it's not a magic 'set and forget' button. **Related**: How do I fact-check AI-generated content? | What is an AI hallucination and how do I prevent it?