Charlie Guo

Full Workshop: Setting Yourself Up for Success —Jason Liu, OpenAI Codex

Jul 24, 2026 · 1:15:02

Jason Liu walks through how to set up OpenAI's Codex for maximum productivity, using voice dictation, app shots, computer use, and a personal memory vault to delegate and automate almost every task. He demonstrates creating skills and plugins from past work, using compaction to keep threads running for weeks with hundreds of sub-agents, and setting up automations with heartbeats and goals. Specific examples include auto-checking flights, editing iMovies via computer use, and having a chief-of-staff thread that monitors Slack and updates task lists. He also covers security permissions (auto-review vs full auto), tips for new users to start with low thinking mode to save tokens, and how to build skills that self-improve by editing their own files. The workshop emphasizes that threads can now communicate with each other, enabling manager-like orchestration and long-running work streams.

Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo

Jun 3, 2025 · 9:49

Charlie Guo explains how his team at Pully used Claude 3.5 Sonnet to analyze 10,000 sales call transcripts in two weeks, turning a task that would take 625 days manually into a $500 project. They chose Claude over smaller models due to unacceptable hallucination rates, and reduced costs by up to 90% using prompt caching and extended outputs. The system combined RAG enrichment, chain-of-thought prompting, and structured JSON outputs with citations to ensure accuracy. The analysis, originally for the executive team, became a company-wide resource, enabling marketing to pull customer quotes and sales to automate transcript downloads, saving dozens of hours weekly. Guo emphasizes that good engineering—JSON outputs, database schemas, and thoughtful integration—matters as much as AI capability, and challenges listeners to mine their own untapped customer data.