Individual AI mastery | Reid Hoffman & Parth Patil (Part 1 of 3)

This is the first of a special, three-part Reid Riffs miniseries. Instead of a news-and-headline driven conversation, Reid sits down one-on-one with Parth Patil, an AI engineer and strategist, for a deeper exploration of what it actually means to become AI-native. Together, they explore individual AI mastery: how to use LLMs, AI agents, and creative tools every day. They unpack role-based prompting, meta-prompting, and voice as a thinking interface, and the move from a single copilot to orchestrating fleets of specialized agents.

Subscribe below to catch the second episode on how large companies can integrate AI, as well as the third episode for startup founders and their early teams building AI-native companies. 

For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/ 

01:07 – When ChatGPT became an “everything tool” 03:11 – Role-based prompting and meta-prompting 07:04 – Ego, humility, and the GPT-4 inflection point 10:41 – Why voice is the highest-bandwidth interface 14:15 – Choosing models and building an AI stack 18:09 – From one copilot to fleets of agents 21:11 – When agents go wrong 25:40 – Using AI as an agent, not a chatbot 28:34 – Building real systems with AI agents 32:49 – Context engineering and advanced prompting 36:03 – Becoming AI-native 40:34 – Closing