The Implementation Lane

Making AI actually work inside real organizations — written by a practitioner, for the people doing the implementation work.

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LATEST ISSUES

Most of Your AI Rules Don't Mean What You Think They Mean

Most of Your AI Rules Don't Mean What You Think They Mean

There's a 50-year-old internet standard for telling the difference. Most AI policy docs have never heard of it.

AI Implementation

+2

I Wrote 25 Rules to Fix My AI. Compliance Dropped to 7%.

I Wrote 25 Rules to Fix My AI. Compliance Dropped to 7%.

The harder I tried to govern it, the less it complied. There's math that explains why.

AI Implementation

+4

I Built an AI That Runs While I Sleep. It Booted 13 Times Before I Caught the Gap.

I Built an AI That Runs While I Sleep. It Booted 13 Times Before I Caught the Gap.

The invisible AI problem isn't hypothetical — I lived it this weekend.

AI Implementation

+3

I Built an Entire Agent Operating System Over the Weekend. Then the Model Changed.

I Built an Entire Agent Operating System Over the Weekend. Then the Model Changed.

Nine phases done. Nearly thirty git commits. Then I found out I'd been working with a different model the whole time.

Business

+3

The AI Said It Shipped. Three of Four Changes Didn't.

The AI Said It Shipped. Three of Four Changes Didn't.

When an AI tool says "success," something still has to check whether it actually succeeded.

Future of Work

+4

The 7% Problem Is Worse Than You Think

The 7% Problem Is Worse Than You Think

Four enterprise AI studies landed in the same week. Different researchers, different methodologies, different sample sizes. They all pointed at the same problem, and if you're working on AI inside an organization right now, you've probably already felt it.

Enterprise AI

+3