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#78: How to package and monetize your expertise with AI | Ben breaks down the complete workflow creating his interview prep copilot

Oct 6, 2025
Ben Erez, a product management educator and creator of an AI-powered interview practice copilot, dives into the journey of monetizing his expertise. He shares how he validated student needs, developed his product using AI tools, and created a smooth automated workflow. Listeners will gain insights into effective pricing strategies, handling model updates, and the emotional satisfaction of helping students secure jobs. Plus, discover why AI simulations can struggle yet excel at providing feedback, making this conversation a must-listen for aspiring creators!
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INSIGHT

Lightbulb From Claude Projects

  • Ben discovered Claude Projects and realized embedding his course transcripts could create a contextual AI practice tool.
  • He used files + instructions as the main levers to shape AI behavior and iterated rapidly.
ADVICE

Unbundle And Iterate Instructions

  • Split different interview types into separate copilots instead of one blended agent.
  • Iterate instructions and files by regenerating responses until the AI follows required interview steps.
ANECDOTE

Early Validation With Calibrated Interviewers

  • Ben first tested his prototype with ex-Meta interviewers who told him it felt 'close to a hire.'
  • He then bundled it into his course and offered free early access to past students for feedback.
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