Drafting a PRD with Claude and Perplexity (Pro)

I’ve been exploring a problem space in the automotive industry for a few years now—long before AI entered the spotlight. What started as a client-led Design Thinking project that ultimately stalled became a personal pursuit. After the client engagement ended, I continued the investigation on my own, initially applying classical product design methods to draft a PRD. Recently, I’ve returned to the project, now leveraging AI to push the work further.
0-1
Gen AI
Platform

Experiment goals

In this experiment, I pick up the original PRD I put together using classical PM approaches and give it to AI. The original material I used to create the PRD draft is a bit dated so I want to refresh the research and clarify the viability of the proposed future-state hypotheses.
➤ Leverage Claude and Perplexity to conduct deep research on the current state of the vehicle purchase and trade-in industry
➤ Leverage Claude and Perplexity to identify and validate product market fit, competitor threats and future-state forecasts
➤ Leverage Claude and Perplexity to assess the viability and feasibility of the proposed solution hypotheses contained in the original PRD draft
➤ Produce a well-formatted PRD document
➤ Produce an engaging and powerful pitch deck for VC audiences

Tools and prerequisites

I’ll use just one tool for this experiment. Prior to conducting this experiment, I had collected a variety of primary and secondary research material to help frame the problem space using classical PM approaches. I asked Claude and Perplexity to refresh those reports using current analytics and available research.
➤ Claude (Free)
➤ Perplexity (Abacus.ai)

Claude’s conversation and artifacts

I recorded my dialog with Claude.
➤ Read Claude’s PRD
➤ View Claude’s pitch deck

Perplexity’s artifacts

➤ Read Perplexity’s PRD
➤ View Perplexity’s pitch deck