More Than a Model: A Memory Architecture for an AI Coding Agent

The first file my coding agent reads, every session, is a markdown file called CLAUDE.md. It is not configuration. It is not a prompt. It is the working-memory layer of…

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The Forgotten Layer: Memory Is the AI Variable Most Teams Are Missing

In 2023 a research paper called Lost in the Middle showed large language models lose accuracy as relevant information moves toward the middle of their context window. Two years on,…

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AI Supply Chain Security Is a Provenance Problem, Not a Vetting Problem

In May last year, someone opened a public GitHub repository and filed an issue. The issue contained instructions written for the AI assistant the repository's owner had connected to their…

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Your AI Knows What It Did. Not What It Decided.

Your AI system is running well. The guardrails are structural, not prompt-based. The escalation paths have owners. The policies are written down and versioned. You have done the work. Now…

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The Disciplines AI Governance Forgot

Mythos did something unusual when it launched. It hard-coded which AI model could be used for which task category inside its platform. Customer-facing responses could only use smaller, lower-risk models.…

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Responsibility Is the Hardest Thing to Automate

Automation scales execution easily. Responsibility does not. As systems become more autonomous, decisions happen faster, more frequently, and further away from the humans who once made them. The result is…

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When Humans Leave the Loop

Many software systems that appear stable are not stable because they are well designed. They are stable because humans quietly make them so. People notice when something feels off. They…

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Why Most Platform Architectures Fail Before AI Scale

Most teams planning to introduce AI into their platforms are asking the wrong questions. They focus on models, tools, and capabilities, when the real risk sits elsewhere: in architecture decisions…

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