You've learned the essentials of how AI works. Now let's explore powerful research tools that go far beyond simple chatting.

Most modern AI tools have a feature that's normally called "deep research" or "deep think" that can spend many minutes autonomously investigating complex topics, searching hundreds of sources, and creating detailed reports.

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Have you tried one for product discovery yet?

Unlike regular AI chat, deep research tools work like tireless product research assistants. They search multiple websites, cross-check user feedback, and synthesize findings into comprehensive market reports.

While ChatGPT gives quick answers, when you enable Deep Research it can spend 5-30 minutes thoroughly investigating a product topic.

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Would you trade speed for depth when researching critical product decisions?

Here's how they work: You ask a complex product question, the AI creates a research plan, then autonomously searches the web, analyzes findings, and compiles everything into a cited report.

For example, enable Deep Research and ask "What features do users want most in expense management apps?" and get a detailed analysis with sources.

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What product question would benefit from this thorough approach?

ChatGPT's Deep Research, powered by reasoning models, can investigate topics for up to 30 minutes. Perplexity AI focuses on well-cited answers in 2-4 minutes.

Google's Gemini Deep Research creates research plans you can approve before starting. Each tool has different strengths and speeds.

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Do you prefer AI that asks for approval or works completely autonomously?

These tools excel at product intelligence: analyzing user feedback patterns, researching market opportunities, investigating feature adoption trends, and synthesizing competitive positioning.

They're perfect when you need comprehensive analysis rather than quick facts. Think product strategy, not daily task management.