ChatGPT Has a Memory Problem. Here’s the Simple Workaround.If your ChatGPT outputs feel generic, the problem isn’t “bad prompts.” It’s missing context. In this episode of AI for the 99%, we break down a simple, human-friendly method to get sharper, more specific results: generate context first, then create. No complex prompt frameworks, no techno-theater. Just a repeatable way for SMEs, freelancers, and teams to turn AI into a focused teammate.🚀 KEY HIGHLIGHTS- Why context beats clever prompts: how reducing ambiguity upgrades your ChatGPT results- LLM memory limits, explained simply: what ChatGPT can and can’t remember, and how to compensate- Context-first workflow: ask ChatGPT to list the truly unique angles before drafting (the “Mauritius” example)- Practical context sources: upload files, use project folders, and add URLs including competitors’ sites- SME marketing use case: turning a vague “social post” prompt into a targeted plan for a local plumbing company- Quick tactic: end prompts with “Do you need more information?” to let ChatGPT request the missing context- 2025 social planning: how to frame Facebook strategy for small teams with limited content velocity📧 NewsletterWant bite-size tips that make AI useful fast? Join the Beginner’s Guide to AI newsletter: beginnersguide.nl — weekly tactics, tools, and templates for beginners.💡 QUOTES FROM THE EPISODE- “More information means better results — for people and for machines.”- “Don’t ask for content first. Generate the context, then create.”- “ChatGPT doesn’t remember much. Your job is to pack the context.”🧑🏻‍🦲 ABOUT THE HOSTDietmar is deep into AI stuff with his digital marketing agency and is one of the top AI podcasters with “Beginner’s Guide to AI.” If you want to connect to him, you can find him on LinkedIn!

Ver todos los episodios