Want to take advantage of our special tools for AI in business and increasing productivity? Love our content and want to buy me a coffee? Visit our new Ko-Fi storefront at ko-fi.com/nextgenbusinessinsights Who I Am Welcome to NextGen Business Insights, your go-to resource for productivity, AI in the workplace, and real-world business wisdom. I’m Joanna, and after more than 20 years in marketing, business development, and digital strategy, I’ve seen firsthand how rapidly the business landscape evolves—and how easy it is for small businesses and solo entrepreneurs to get left behind. For over a decade, I ran my own marketing consultancy, helping small businesses not just survive but thrive in the fast-paced digital world. From building strong online presences to creating workflows that actually work, I’ve spent years translating big-business strategies into small-business action plans. Now, I’m stepping back from direct client work to share those hard-won lessons with you—so you ca...
AI can write like a dream—and sometimes it dreams a little too much. Hallucinations (false or fabricated content) are one of the biggest challenges in using tools like ChatGPT for real work. But with the right QA techniques, you can drastically reduce those errors and start treating AI as a reliable member of your workflow. This guide gives you seven practical ways to sanity-check your AI output and improve overall quality. Whether you’re drafting content, conducting research, or automating tasks, these checks will help you sleep easier at night. Section 1: Know What Hallucination Really Means Before you fix the problem, define it clearly. An AI hallucination isn’t a typo or weird grammar—it’s when the model confidently generates content that simply isn’t true or grounded in the input. Examples include: Fabricated statistics or citations Fake quotes from real people Confident but inaccurate definitions or summaries Understanding that hallucinations are a systemic risk...