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Wow, that's incredibly fast! Creating a whole interactive app for visiting London in under 10 minutes, just by inputting preferences like zones, kids, and time of year, is pretty wild. And it's all on the map with pricing details, too.

So, no coding involved at all, which is the mind-blowing part. It sounds like Perplexity is really stepping up their game with this new 'Labs' feature, calling it their next bomb. The idea of these 'containers' for AI tasks is a cool concept for organizing complex projects.

This definitely sounds like a significant evolution from Deep Research; calling it 'clamorous' is a strong endorsement. The examples they're showing, like the report on AI for freelancers or analyzing content tools, are practical and give a good idea of the range of possibilities.

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The introduction of Perplexity Labs marks a significant leap forward, transforming Perplexity's capabilities beyond its already impressive Deep Research feature [0:30]. This new functionality allows users to create complex projects from scratch, acting as containers for various AI-driven tasks [0:30]. The speaker highlights how Labs integrates multiple AI abilities – research, text generation, image creation, and coding – all within a single, reasoning-based framework [2:00]. Examples showcased include generating a report on integrating AI into freelance workflows and analyzing content generation tools [1:00]. A particularly striking demonstration shows Perplexity Labs creating a dashboard of potential B2B clients for a tech company, complete with filtering by investment stage, company...

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