Perplexity AI is an AI-powered answer engine: you ask a question in plain language and it replies with a written answer plus links to the sources behind it. Rather than handing you ten blue links to sift through, it reads the pages for you and gives a direct response you can check.
The clearest way to understand it is as a research assistant who always shows their work. Ask a normal search engine “which EU rules apply to storing customer data” and you get a list of pages to read yourself. Ask Perplexity and you get a written summary with footnotes pointing to each source. Under the hood this leans on RAG, where the system retrieves real documents first and then has a large language model write the answer from them. That grounding in real sources is what cuts down on confident-but-wrong answers.
A concrete example: ask it to compare three project management tools by price and integrations, and you get a tidy table with a citation next to each claim. That beats opening fifteen tabs yourself.
It is not perfect. It can still misread a page or lean on a thin source, so for anything that matters you click the citations and verify. Because it pulls from live pages, it can also surface outdated or SEO-spam results dressed up as fact. The citations are exactly what make catching that easy, which is why grounding in sources matters more than it sounds.
At TopDevs we use tools like Perplexity for fast, source-backed research during a project, while keeping a human in the loop to judge whether the sources actually hold up.
