Parth Patil
AI specialist and practitioner focused on building AI-native workflows and tools; provides technical examples and demos about coding agents, localization pipelines, and startup best practices in the episode.
Top 3 podcasts with Parth Patil
Ranked by the Snipd community
220 snips
Jan 14, 2026 • 45min
Reid Riffs with Parth Patil on Individual AI Mastery (Part 1 of 3)
In this engaging discussion, Parth Patil, an AI engineer known for his innovative workflows and creative tools, shares insights on individual AI mastery. He explores how AI can shift from a mere productivity tool to a meta-tool that enhances daily tasks. Parth dives into role-based and meta-prompting techniques, emphasizing humility in interacting with AI. He advocates for voice as a preferred interface and discusses how to orchestrate fleets of specialized agents, revealing both the potential and pitfalls of using AI in everyday scenarios.
100 snips
Jan 28, 2026 • 35min
Reid Riffs with Parth Patil on AI-Native Startups (Part 3 of 3)
Parth Patil, an AI specialist building AI-native workflows and tools, shares practical demos and technical examples. He discusses decomposing work into modular pieces, orchestrating fleets of agents in parallel, and coding agents that let small teams tackle big engineering tasks. He also explores automated localization pipelines, voice cloning across languages, and how AI can quietly amplify creativity.
52 snips
Mar 5, 2026 • 1h 6min
Parth Patil on Coding Agents, Building Reid AI, and What It Takes to Operate at the Frontier
Parth Patil built Reid Hoffman's AI digital twin from scratch, without engineering team or a software background. Before that, he was a data scientist at Clubhouse. When GPT-4 came out, he cashed out his 401k and spent four months talking to the model every day. He came out of that running Reid's AI work. He now manages a fleet of coding agents for most of his waking hours.In this conversation with Village Global VP Sam Kirschner, Parth talks through everything AI: how coding agents have evolved since AutoGPT and BabyAGI, why data analysts tend to make better vibe coders than engineers, how he thinks about multi-agent orchestration and TMUX, context engineering, and what he believes is coming next. Thanks for listening — if you like what you hear, please review us on your favorite podcast platform.Check us out on the web at www.villageglobal.com or get in touch with us on X @villageglobal.Want to get updates from us? Subscribe to get a peek inside the Village. We'll send you reading recommendations, exclusive event invites, and commentary on the latest happenings in Silicon Valley. www.villageglobal.com/signup
