5. Recommender This is a useful role for deepening your understanding of a subject: asking for related works that reflect similar themes. It’s also a use case where I noticed considerable improvements in LLM performance over 2025. Example: Early in 2025, I read Confucius’s Analects. Perplexity was ahead in web-backed interactions at the time, so I asked it for a list of classic Chinese movies that reflected Confucian values. It responded with five suggestions, some of which it hallucinated. But one of them, Spring in a Small Town, was a bona fide classic — and I likely wouldn’t have learned of it without an LLM. (Later in the year, other chatbots gained this ability and hallucinations dropped across the board.) Suggested prompt: I just finished [WORK]. Recommend three films that explore similar themes or ideas. Prioritize films with strong critical reputations — I’d rather have one great recommendation than five mediocre ones.
Role 5 recommender, described as recommending works to deepen one's understanding. The example to me is more about finding more superficial things to see content in a different shape again (here films, podcasts before), a broadening. Perhaps to get a more emotional tie in with a concept, bringing it into scope of one's perception of beauty, next to K as such?