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. In this first episode of the series, Parth and Reid discuss how individuals can better leverage LLMs, agents, and creative tools daily. They trace the shift from seeing AI as a productivity boost to understanding it as a meta-tool, as well as unpack techniques like role-based prompting, meta-prompting, and voice as a high-bandwidth thinking interface. Along the way, they discuss the humility required to collaborate with these systems, the move from a single copilot to orchestrating fleets of specialized agents, and how these tools are already reshaping workflows. 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

Reid Riffs with Parth Patil on Individual AI Mastery (Part 1 of 3)

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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. In this first episode of the series, Parth and Reid discuss how individuals can better leverage LLMs, agents, and creative tools daily. They trace the shift from seeing AI as a productivity boost to understanding it as a meta-tool, as well as unpack techniques like role-based prompting, meta-prompting, and voice as a high-bandwidth thinking interface. Along the way, they discuss the humility required to collaborate with these systems, the move from a single copilot to orchestrating fleets of specialized agents, and how these tools are already reshaping workflows. 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

What if, in the future, everything breaks humanity's way? Possible is an award-winning, weekly podcast that sketches out the brightest version of the future—and what it will take to get there. Hosts Reid Hoffman and Aria Finger explore what’s possible with forward-thinking leaders, deep thinkers, and ambitious builders across many fields, such as technology, art, education and healthcare. These conversations center on the ways technology—and, in particular, AI—is shaping the future. In episodes, AI tools such as OpenAI’s GPT-4 and Inflection’s Pi are at work, offering informational asides, prompting guests, or demoing what they can do. Lastly, between guest episodes, Aria interviews her co-host Reid on his latest takes on what’s possible if we use technology—and our collective effort—effectively.

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