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In this weekly special, Stephen Forté goes deep on Perplexity Computer — not the hype version that broke the internet, but the practical playbook he uses every day to run his company and produce this podcast. If you've been treating Computer like a search bar, this episode will rewire how you think about it.

What You'll Learn:

  1. The mental model shift — why you need to brief Computer like a new hire, not prompt it like Google
  2. The Notion memory hack — how to build a persistent intelligence layer that both you and your AI read from
  3. The sub-agent strategy — how specificity triggers Computer's multi-model orchestration engine
  4. The Monday morning action — prep a board-ready briefing document in 20 minutes flat

Key Topics Covered:

  1. How Computer's meta-router assigns tasks across 19 AI models (Claude, Gemini, GPT, Grok, and more)
  2. Using Notion as an intelligence backup that mirrors Computer's persistent memory
  3. Letting AI agents update your system of record automatically — no manual documentation
  4. Writing prompts that activate parallel sub-agents instead of getting generic answers
  5. Steering specific models to handle specific parts of a task
  6. A real-world board meeting prep workflow using uploaded financials and competitor filings

Stephen Forte is the founder of BuildClub, where he builds custom AI solutions for mid-to-large businesses and serves as fractional Chief AI Officer for multiple clients.

Summary

Perplexity Computer isn't a search engine — it's an orchestration layer across 19 AI models, and most people are using it wrong. In this weekly deep-dive, Stephen Forté shares the exact playbook he runs daily: the mental model shift, a Notion memory hack that gives your AI persistent institutional context, a sub-agent strategy that turns vague prompts into parallel research squads, and a board meeting prep workflow you can steal and run Monday morning.

Key Takeaways
  • The mental model shift — why you need to brief Computer like a new hire, not prompt it like Google
  • The Notion memory hack — how to build a persistent intelligence layer that both you and your AI read from
  • The sub-agent strategy — how specificity triggers Computer's multi-model orchestration engine
  • The Monday morning action — prep a board-ready briefing document in 20 minutes flat
  • How Computer's meta-router assigns tasks across 19 AI models (Claude, Gemini, GPT, Grok, and more)
  • Using Notion as an intelligence backup that mirrors Computer's persistent memory
  • Letting AI agents update your system of record automatically — no manual documentation
  • Writing prompts that activate parallel sub-agents instead of getting generic answers

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