Matt is CEO and co-founder of Prefactor, the agent runtime control plane. He works with engineering and security leaders on the unglamorous half of agentic AI: scoped identity, runtime enforcement, observability, and the evidence a board needs before an agent ships. He writes about what actually separates a demo from a live agent.
Posts by Matt
10 posts
The Data and API Plumbing Your First Agent Needs
Why most first agents stall at integration, not intelligence, and the plumbing checklist to run before you commit to a use case.
Matt Doughty 
Building New Security Perimeters: How Agent Tool Access Changes Your Risk Model
MCP gives agents direct access to native apps and internal tools. Here is how that changes your attack surface and what governance you need.
Matt Doughty 
When Agent-Generated Code Needs Different Verification Than Human Code
Agent-generated code fails in patterns human reviewers are not trained to catch. Here is what verification needs to change and when AI-to-AI review makes sense.
Matt Doughty 
When Agents Fail in Production: Learning From Enterprise Reversals
Ford reversed an AI quality system, Meta admitted slower-than-expected progress. Here is what both reversals teach you about scoping your first agent pilot.
Matt Doughty 
Agent Evals 101: Building Your First Evaluation Suite
A practical guide to building your first agent evaluation suite, from golden sets to LLM-as-judge and production monitoring.
Matt Doughty 
Beyond Copilot, Claude and ChatGPT: Actually Embedding AI Into Your Company
What changes when AI stops suggesting and starts acting, and how to make that transition without betting the company on it.
Matt Doughty 
Build vs Buy for Your First Production Agent
A practical decision framework for choosing between building an in-house agent and buying a vertical product, with the questions that matter most.
Matt Doughty 
How Do You Know Your AI Agents Are Doing Their Job?
Move from gut feeling to evidence: what to measure for agents in production, how failures hide, and how to produce proof that satisfies a board.
Matt Doughty 
How to Pick Your First AI Agent Use Case
A practical three-test method for selecting your first agent use case, with worked examples, a ranked list of forgiving starting points, and a one-page charter template.
Matt Doughty 
What It Actually Takes to Get Your First AI Agent Live
The honest path from proof of concept to production: how to pick a first use case, close the demo gap, and know when you're ready to ship.
Matt Doughty Stay ahead of the curve
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