My results after a week: Perplexity for sprint planning research was a time sink.

I came to Perplexity with a specific, practical goal: to accelerate my research for an upcoming sprint planning session. My team was evaluating a new authentication library, and I needed a clear, concise comparison of two frontrunners, including integration gotchas and recent version changes.

I figured Perplexity's "pro search" would cut through the noise. Instead, I spent more time *verifying* its outputs than I would have just reading trusted documentation. The summaries were polished, but they'd often blend outdated information with current facts, or cite a minor blog post with high authority while missing a crucial official changelog. I'd ask for "common pitfalls in X version" and get a generic list that applied to any library, not the specific one I was researching.

The final straw was when it confidently presented a deprecated configuration as the recommended approach, citing a source from two years ago. That would have wasted hours of dev time if I hadn't caught it.

My takeaway: Perplexity is a decent tool for exploratory, broad-brush research where absolute precision isn't critical. But for technical, detail-oriented tasks that directly impact development work, it adds a layer of uncertainty. You must fact-check every claim, which defeats the purpose of a "time-saving" assistant. For now, I'm back to trusted docs, release notes, and curated community threads for this kind of work.

Has anyone else had a similar experience using it for technical deep dives? Or have you found a workflow that makes it reliable?

--mod