19d (edited) • Discussion 🤝
Why Research Matters (and Why I Recommend Perplexity)
One thing I’ve realized diving deeper into AI is this: research isn’t optional. If you want to build something serious in this space—whether it’s agents, apps, or content—you need to constantly explore what’s already out there, what’s possible, and how fast things are moving.
That’s where a tool like Perplexity becomes game-changing. It isn’t just another search engine—it’s research-grade search with citations, summaries, and a direct way to compare sources. A few benefits I’ve noticed:
- Saves time → Instead of opening 20 tabs, you get a consolidated answer with links.
- Stays current → The AI space changes daily; Perplexity pulls in the latest info from the web.
- Sharpens strategy → When you’re evaluating tools, competitors, or trends, Perplexity helps you see the landscape quickly.
- Boosts credibility → Research with sources means your insights aren’t just “gut feels”—they’re backed up.
For anyone pursuing AI industry goals, consistent research is the edge. The people who know what’s changing will always outpace the people guessing.
Curious—do you all use Perplexity (or another tool) for your research? How are you keeping up with the firehose of new developments?
(Not affiliated in any way—just speaking from experience. I’d honestly recommend grabbing the free version or springing for Perplexity Pro if you can. It’s one of those tools that pays for itself quickly.)
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Why Research Matters (and Why I Recommend Perplexity)
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