Insights

What We're Thinking About

Original analysis on AI automation, compliance engineering, and what actually works in production — from an engineer who has been doing this for three decades.

EU AI Act

August 2, 2026: The EU AI Act Deadline Every US Fintech With European Customers Is About to Miss

Credit scoring is explicitly named as high-risk AI under EU law. The compliance deadline is August 2 — not proposed, not contingent. A US fintech with no EU office still falls in scope if its model touches EU borrowers. The checklist is long and the clock is short.

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HIPAA

85% of Epic Customers Are Running AI. How Many Are Section 1557 Compliant?

Healthcare AI deployment is years ahead of its compliance posture. Section 1557's nondiscrimination mandate is enforceable now. The HIPAA Security Rule rewrite adds AI tools to risk analysis requirements. Here's what the gap looks like — and what closing it actually requires.

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OpenAI

Elon Musk vs. OpenAI: What's Actually at Stake in the $134B Trial

Musk is suing the company he co-founded for $134 billion. Week one of the trial raised questions about credibility, competitive motive, and whether a founder's early vision creates enforceable obligations.

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AI Vendor

How to Evaluate an AI Vendor If You're in Healthcare, Finance, or Legal

Most AI vendor evaluations are structured around the wrong criteria.

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Compliance

What Compliance-Ready AI Actually Looks Like

"Compliance-ready" has become a marketing phrase. Every AI vendor says it. Almost none of them mean the same thing by it.

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Regulated Industries

Why Regulated Industries Need AI Built Differently

There's a version of the AI conversation that applies to nearly every industry: move fast, automate the repetitive stuff, reduce headcount, improve margins. The pitch is simple and the ROI math is compelling.

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ml model

Mythos - the new impressive model by Anthropic

Anthropic just built the most capable AI model in history — and decided not to release it. That decision is the most important thing that happened in enterprise AI this year, and almost no one is talking about the right part of it.

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