Hallway Chat

About Hallway Chat

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 that’s 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.

Publisher

Fraser Kelton & Nabeel Hyatt

Category

technology

Language

en

Explicit

No

First episode

4 Mar 2016

Latest episode

26 Mar 2026

Latest episodes

30 of 41 episodes have a transcript.

1. 

   26 Mar 2026TRANSCRIPT

   The two types of Agentic Engineering, and their teams

   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 4.5 00:00 Introduction: The New Reality of Coding 00:21 Building Camp: Multiplayer Knowledge Work 03:12 Open Source in the Age of Models 08:56 The Recommendation Problem: From Average to Expert 15:29 Why Gemini Works for Personalization 18:32 Submit a Prompt: Conductor's Product Innovation 21:50 Two types of Engineering: Automatic vs Iterative 32:08 Rethinking Team Structure: From Six to Two 35:01 Can you AI transform without living it yourself? 40:12 Data Moats and the MCP Shift 44:05 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

2. 

   4 Nov 2025TRANSCRIPT

   Personality, humanism, poke, and raising the ceiling

   Hosts Fraser and Nabeel discuss the rise of niche AI applications, including the viral AI assistant Poke, and explore AI's role in scientific discovery and creative fields.

3. 

   28 Oct 2025TRANSCRIPT

   Be Water, Ubiquity over Ownership

   Hosts Nabeel and Fraser discuss the increasing importance of tool use and code execution in AI models, examining how startups can adapt to rapid market changes and differentiate themselves through strategic product decisions.

Inside a recent episode

The two types of Agentic Engineering, and their teams

Published 26 Mar 2026 · Transcript excerpt

[…] But I don't know that that means the engineer is out of the equation because what it feels to me that is happening is this split. in two types of engineering work that maybe got slightly muddled before, and then now the fissures between these two types of ways that we are building becomes more obvious. And the first is what we are talking about right now, which probably I think Cognition and Devin were the first example of this AI engineer automation agent, which the idea is I give it a task and it might run for multiple days. It can QA test and do the whole thing. And it's just kind of does everything for you. […]

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Public platform figures. Ratings count people who left a rating, not total listeners.

YouTube views

1,421

Score snapshot 15 Sept 2025

Podcast Authority Score: 56 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

83

Social presence

0

YouTube

74

Engagement

0

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