Perplexity earns strong praise for fast, sourced answers and a clean, mobile-friendly experience that streamlines research and everyday queries. Makers emphasize reliable APIs and real-time search: creators of
say voice-triggered “ask perplexity” boosts user ease; makers of
use its API for text generation; makers of
credit it for speeding content development. Users highlight accurate citations, minimal hallucinations, and fewer ads than traditional search, though some note UI quirks, occasional citation issues, and ads diminishing appeal. Overall, a trusted, efficient research companion.
Flowtica Scribe
Hi everyone!
I think we are past the phase of simply asking "which model is the best?". Once models cross a certain capability threshold, comparing them to pick a winner loses meaning.
Instead, we might wanna treat them as distinct individuals with different tastes and perspectives.
That is why Model Council is so interesting. It aggregates these different perspectives. Perplexity does an excellent job of context integration here: presenting the synthesis in a way that is insightful rather than just messy. The result is a "wow" moment.
It definitely burns a ton of tokens😅so, totally understand why this is in the Max plan.
Remention
Like the idea. Will test later today