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Hallway ChatFraser & Nabeel explore what it means to build great products in this new world of AI. Author: Fraser Kelton & Nabeel Hyatt
Fraser & Nabeel explore what it means to build great products in this new world of AI. Two former founders, now VCs, have an off-the-cuff conversation with friends about the new AI products that are worth trying, emerging patterns, and how founders are navigating a world thats changing every week. Fraser is the former Head of Product at OpenAI, where he managed the teams that shipped ChatGPT and DALL-E, and is now an investor at Spark Capital. Nabeel is a former founder and CEO, now an investor at Spark, and has served on the boards of Discord, Postmates, Cruise, Descript, and Adept. It's like your weekly dinner party on what's happening in artificial intelligence. Language: en Genres: Technology Contact email: Get it Feed URL: Get it iTunes ID: Get it Trailer: |
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The two types of Agentic Engineering, and their teams
Episode 40
Wednesday, 25 March, 2026
We return from a break to discuss the effects of an avalanche of app making due to Claude and Codex, including “Camp,” an experiment by Nabeel in native multiplayer AI-assisted group work beyond shareable outputs. We cover: In order to be a founder leading AI transformation do you need to lead by example? Conductor’s viral “prompt feature requests” workflow, reality of one-shot apps versus iterative prompting, how teams may use less open-source, Gemini's comparative strengths, and what does it mean when the engineering pod optimal size has moved from six to two. We end by discussing Granola’s MCP and why data moats are fragile, favoring best interfaces and customer-centric access.00:00 Divergent Paths: Two types of Engineering post Claude 4.500:00 Introduction: The New Reality of Coding00:21 Building Camp: Multiplayer Knowledge Work03:12 Open Source in the Age of Models08:56 The Recommendation Problem: From Average to Expert15:29 Why Gemini Works for Personalization18:32 Submit a Prompt: Conductor's Product Innovation21:50 Two types of Engineering: Automatic vs Iterative32:08 Rethinking Team Structure: From Six to Two35:01 Can you AI transform without living it yourself?40:12 Data Moats and the MCP Shift44:05 Making Context Ubiquitous (00:00) - The two types of engineering post Claude 4.5 (00:00) - Introduction: The New Reality of Coding (00:21) - Building Camp: Multiplayer Knowledge Work (03:13) - Open Source in the Age of Models (08:57) - The Recommendation Problem: From Average to Expert (15:30) - Why Gemini Works for Personalization (18:33) - Submit a Prompt: Conductor's Product Innovation (21:51) - Two types of Engineering: Automatic vs Iterative (32:09) - Rethinking Team Structure: From Six to Two (35:02) - Can you AI transform without living it yourself? (40:13) - Data Moats and the MCP Shift (44:06) - Making Context Ubiquitous
