Google just released Deep Research, an AI research assistant powered by Gemini 1.5 Pro. This tool can analyze hundreds of web pages to create detailed reports with citations. It can process over 700,000 words at once, which is about 10 times more than other AI models.
I tested Deep Research across multiple topics and found it does well at gathering factual information but still needs oversight for source quality. It excels at summarizing industry reports and identifying trends, but academic research remains challenging since it can’t access most journals directly.
The expanded context window makes a real difference in practice. Instead of breaking up long documents into chunks, Gemini 1.5 Pro can analyze entire codebases or reports in one pass. This preserves important context that gets lost when processing text in smaller pieces.
I compared Deep Research to Claude 3 Opus and GPT-4. While those models are strong at general writing and coding, Gemini 1.5 Pro stands out for research tasks. The ability to browse hundreds of web pages and compile findings automatically saves hours compared to manual research.
Google plans to bring Deep Research to mobile in early 2025. For now, you can access it through Gemini Advanced for $20/month after a free trial. The service is currently limited to English and users over 18.
My advice? Deep Research works best as an assistant rather than a replacement for human research. Use it to gather initial information and identify patterns, but verify key sources yourself. The tool is most valuable for market research, competitive analysis, and trend spotting where broad web coverage matters more than academic depth.
For related AI tool reviews, check out my analysis of DeepSeek’s new search capabilities at https://adam.holter.com/deepseek-v2-5-just-added-internet-search/ and Gemini 2 Flash at https://adam.holter.com/gemini-2-flash-a-new-coding-champion-more/.
