Episode Details

Most people are using Perplexity at barely 10% capacity because they treat it like a glorified search bar. We’re breaking down the exact workflow shifts that turn it into a high-bandwidth research engine—right as the industry pivots from "chatbots" to autonomous agents with the release of GPT-5.2-Codex.

We’ll talk about:

• The Google Trap: Why your results are shallow and how "Site:" operators + time filters act as a noise-canceling headphone for the web.
• Slash Commands & System Design: The controversial move from writing prompts to building repeatable shortcuts that keep AI reasoning consistent.
• GPT-5.2-Codex in Windsurf: A look at the new "Agentic Leap" in coding and why your IDE is suddenly more capable than your senior dev.
• Nvidia’s $20B Groq Play: How Jensen is shattering the "Memory Wall" to make real-time research (like Perplexity’s) near-instant.
• The Perplexity + NotebookLM Stack: A strategy for turning transient search results into a permanent, queryable AI knowledge base using Spaces.

Keywords: Perplexity AI, GPT-5.2 Codex, Windsurf, Nvidia Groq, LPU architecture, AI search operators, Slash Commands, AI Knowledge Base, DeepSeek V4, Claude 3.7, NotebookLM, AI research workflows, Inference Economy.

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