

Chain of Thought | AI Agents, Infrastructure & Engineering
AI is reshaping infrastructure, strategy, and entire industries. Chain of Thought is the podcast where builders reason through what's changing. Host Conor Bronsdon sits down with the engineers and founders shipping AI in production to get past the hype into what's working and what isn't. Episodes cover model infrastructure, inference, agent frameworks, evaluation, and developer tools. Guests have come from NVIDIA, Google DeepMind, AMD, Databricks, Vercel, and more. Every episode carries a full transcript and show notes at chainofthought.show. New episodes weekly. Conor Bronsdon is an independent consultant and angel investor in AI infrastructure and developer tools. He led technical ecosystem at Modular, acquired by Qualcomm in 2026; led developer awareness at Galileo, acquired by Cisco; and ran developer marketing at LinearB, where he was GM of the Dev Interrupted podcast and community. Views expressed by the host and guests are their own.
Episodes


Your Best AI Engineer Might Have the Worst Metrics | Sonar CTO Andrea Malagodi

Why Context Alone Isn't Enough for Enterprise AI Agents | WisdomAI CPO Kapil Chhabra

AI Codes: Product Engineers Decide What to Build

Genspark's Bet: AI Agents Become the Users of Software | Wen Sang
AI agents are evolving from stateless tools into persistent, human-centric collaborators that leverage memory and physical-world context to automate complex knowledge work. By implementing a "mixture of agents" architecture, platforms can orchestrate specialized models for reasoning, coding, and data analysis, effectiv...

AI Agents Are Outgrowing Human Infrastructure | AMD's Anush Elangovan

Slack Wants to Be the Context Harness for Code | CPO Jaime DeLanghe

11 Cameras, Dozens of Mics: The AI That Reads the Room
Transforming meeting rooms into proactive participants requires a sophisticated integration of edge-based AI and hardware sensors. Tormod Ree, Chief Product and Engineering Officer at Neat, explains that by deploying multiple cameras and microphones, systems can read physical spaces to understand participant interactio...

Thomson 1: The New $40M Legal AI Model | Thomson Reuters Joel Hron
Thomson Reuters is transforming into an AI-first technology company with the launch of "Thomson," a specialized model designed for legal, tax, and compliance professionals. By building upon an open-source foundation and augmenting it with proprietary data and expert human feedback, the company achieves high-performance...

Time to Exploit is Negative: AI Broke the Patch Cycle | Dan Lorenc

AI Agents Need Parenting, Not Static Rules | Cisco's Jeetu Patel

Data Federation, Not Centralization, Is What Enterprise AI Needs

You Can't Secure an AI Agent with Software

Stop Token Maxxing: Find Where AI Actually Pays Off | Jiaona Zhang
Organizations struggle to quantify AI ROI because they lack visibility into token spend versus actual business outcomes. Rather than simply mandating AI usage, leaders must prioritize efficient workflows that reclaim human time from repetitive drudgery. Jay-Z, CPO at Laurel and former product leader at Airbnb and Dropb...

Most of the Web Will Never Get APIs for AI Agents | Dhruv Batra

The First Fully Autonomous AI Attack Is 18 Months Away | Kristin Lovejoy

The AI Framework Era Is Over: Why Context Is the Moat | Jerry Liu

We Built Agents, Nobody Built HR | Tyler Akidau, Redpanda

How Superhuman Built AI Into a 100ms Product | Loïc Houssier

The AI Hiring Doom Loop: Applications Up 239%, Hires Down 75%
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