Gemini Notebook, ChatGPT Projects and Claude Projects compared for research tasks

ChatGPT Projects (using models like GPT-4.5, o3, and GPT-4o) and Claude Projects (powered by Claude 3.7 Sonnet/Opus) take different approaches. ChatGPT uses Semantic Search RAG, extracting relevant fragments from uploaded files and blending them with general knowledge, which excels at brainstorming, data analysis, and code execution. However, its partial extraction method can miss critical details in long documents, leading to hallucinations. Claude’s Prompt Caching system prioritizes natural language output and code previews but suffers from a 5-hour rolling message limit (even for Pro at $20/month) and a strict 30MB file size cap, forcing users to split large documents manually. Neither tool offers the same source verification as Gemini Notebook, making them less reliable for high-stakes fact-checking.

The article advocates a two-stage workflow: first using Gemini Notebook to generate a zero-hallucination FACT SHEET from uploaded materials, then feeding that output into Claude or ChatGPT for creative writing, brainstorming, or emotional storytelling. This hybrid approach aims to combine Gemini’s factual precision with the expressive power of the other two tools, though the article does not confirm widespread adoption of this method.