Summary

NotebookLM's infographic generator often produces beautiful visuals marred by garbled or misspelled text. By feeding these flawed outputs into ChatGPT with a simple corrective prompt, you can consistently generate professional, error-free versions while retaining the original design's style and intent.

Key Topics

• Source-Grounded Infographics: These allow for data visualization that is strictly tied to your research materials. By requiring the AI to cite sources, NotebookLM ensures the infographic remains grounded, though the text generation quality currently varies with detail level.
• Multimodal Iterative Correction: This involves uploading an image, asking for specific changes, and repeating the cycle. It is effective because LLMs can reason through image context to fix errors that simpler editing tools overlook.
• Semantic Context Repair: Beyond fixing typos like 'aftitude' for 'altitude', ChatGPT can recognize when labels in a diagram are factually incorrect based on the source data and rewrite them for clarity and accuracy.

Key Takeaways

• Run your broken NotebookLM infographics through ChatGPT with the prompt: 'Generate this exact infographic, but with every error in the text corrected.'
• Check the full NotebookLM guide for better source management.