Agents After Dark, powered by Prefactor

Matt Doughty

Agents After Dark is a podcast exploring what actually happens when AI agents move from demos into real-world production environments. Hosted by Matt Doughty, Co-Founder and CEO at Prefactor the show features conversations with founders, enterprise leaders, engineers, and operators building the next generation of agentic systems, AI infrastructure, and runtime platforms. We go beyond the hype to unpack the technical, operational, and organisational challenges behind deploying AI agents at scale — from governance and security to orchestration, observability, MCP, evaluation, and production readiness. If you're building, deploying, or managing AI agents inside modern organisations, this is where the real conversations happen.

Episodes

  1. 22 June

    Writing 90% of Your Code With AI: Vibe Coding at 60 Million Users| Matthew Blode at Linktree

    What happens when AI writes 90% of your code, and 60 million people rely on it? That's the reality for engineers shipping with tools like Claude Code, OpenAI Codex, and Cursor every day. The output is faster and often better, but it raises a harder question: How do you move at that speed without shipping the bug that breaks production? In this episode of Agents After Dark, Matt Doughty sits down with Matthew Blode, who builds Link Apps at Linktree and is an OpenAI Codex ambassador, to get specific about writing, reviewing, and shipping AI-generated code at scale. Together they discuss: Why Matthew now writes over 90% of his code with AI yet writes less code than ever, and outputs moreHow vibe coding actually works in production: plan mode, phased to-dos, and layered review across multiple coding agents plus human code reviewThe invoicing bug that reached production when an AI hallucinated a dependency upgrade, and the QA that would have caught itHow risk tolerance shifts from a startup MVP to a platform with 60 million users, using feature flags, internal dogfooding, and AI code reviewers in GitHubWhy AI evals still need humans in the loop ("who watches the watchman"), and the observability tooling Linktree leans onDelivering AI features users actually want, including the right to opt out of AI entirely, and the data sovereignty question that raisesThe Pixar storyboard method for moving from proof of concept to production without burning money on dead-end demos Whether you are a founder shipping an AI-native MVP or an engineer delivering features to millions, this is a practical look at agentic coding in production: how to keep velocity high and quality intact when the machine writes most of the code. About Matthew Matthew Blode builds Link Apps at Linktree and is an OpenAI Codex ambassador, deep in the AI coding and Codex community. He has built and sold two startups, including Fingertip, an AI-powered website builder, and brings a hands-on perspective on agentic coding, code quality, and shipping AI features safely at scale. About Prefactor Prefactor helps enterprises trust AI in production. As organisations deploy more AI agents, maintaining visibility into performance, risk, and operational quality becomes increasingly difficult. Prefactor gives engineering, product, and security teams a single platform to monitor AI systems, evaluate outcomes, identify risks, and take action when things go wrong. Learn more at prefactor.ai

    32 min

  2. 9 June

    What Does an AI Agent Buy? | Andrew Bird, Head of AI at Affinda

    What happens when software becomes the customer? For decades, products have been designed, marketed, and sold to humans. But as AI agents become increasingly capable of researching, evaluating, and making decisions on our behalf, a new question emerges: What does an AI agent actually buy? In this episode of Agents After Dark, Matt Doughty sits down with Andrew Bird, Head of AI at Affinda, to explore how AI is changing the way products are discovered, evaluated, and purchased. Together they discuss: What happens when agents become decision-makers rather than assistantsHow software discovery changes in an agent-driven worldWhy traditional go-to-market motions may need to evolveHow trust, reputation, and verification influence agent decisionsThe future of procurement in a world of autonomous systemsWhat founders and product teams should be building for as AI adoption accelerates As agents move from copilots to autonomous actors, the way products are bought, sold, and evaluated may fundamentally change. This conversation explores what that future could look like and what it means for businesses today. About AndrewAndrew Bird is Head of AI at Affinda, where he helps organisations apply AI to automate and extract value from complex, unstructured information. Having worked at the forefront of AI adoption through multiple technology waves, Andrew brings a practical perspective on how agents, automation, and AI-driven decision making are changing the way software is built, evaluated, and purchased. About PrefactorPrefactor helps enterprises trust AI in production. As organisations deploy more AI agents, maintaining visibility into performance, risk, and operational quality becomes increasingly difficult. Prefactor gives engineering, product, and security teams a single platform to monitor AI systems, evaluate outcomes, identify risks, and take action when things go wrong. Learn more at prefactor.ai

    32 min
  • 2 Episodes

About

Agents After Dark is a podcast exploring what actually happens when AI agents move from demos into real-world production environments. Hosted by Matt Doughty, Co-Founder and CEO at Prefactor the show features conversations with founders, enterprise leaders, engineers, and operators building the next generation of agentic systems, AI infrastructure, and runtime platforms. We go beyond the hype to unpack the technical, operational, and organisational challenges behind deploying AI agents at scale — from governance and security to orchestration, observability, MCP, evaluation, and production readiness. If you're building, deploying, or managing AI agents inside modern organisations, this is where the real conversations happen.

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