The author conducted a mini PM experiment using Perplexity AI for practical learning and testing in three areas: research workflow, concept learning, and feature brainstorming.
Perplexity AI was praised for providing source-backed answers and clear summaries, but faced challenges with context memory and depth in responses.
Proposed improvements for Perplexity AI include a 'Context Mode' for tailored responses, 'Prompt Boards' for saving questions, and 'Use-Case Shortcuts' for focused interactions.
The author, a student in Nagpur, emphasized the importance of tools like Perplexity for enhancing understanding and thinking like a Product Manager without formal credentials.