Category: AI
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The New AI Stack: How Modern Companies Are Really Building AI Products
The marketing version of building an AI product in 2026 is ‘just call GPT.’ The reality is closer to standing up a small internal platform.
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An AI Policy Framework That Actually Holds Up
The AI policy framework in 2026 sits as the document the typical enterprise has been wanting to write, with the policy covering the acceptable use, the data handling, the model selection, the compliance. The 2026 guide covers what the framework should include, what the framework should not include, and what the enterprise can do to…
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AI Detection Tools Are Broken, and That’s the Truth
AI detection tools are broken. The ones that claim to detect AI generated text are wrong often enough to be useless, the ones that claim to detect AI generated images are wrong in ways that are getting people in real trouble, and the ones that claim to detect AI generated code are barely better than…
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The Q1 2026 AI Roundup (or, What Just Happened)
Q1 2026 was the quarter the agentic AI moved from demo to production. Three stories defined the quarter. The fourth, the one nobody is talking about, will define the next.
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How to Tell if an AI Image is Fake (Without Going Down a Rabbit Hole)
AI image generators are good now. Scary good. Here is a practical 30-second checklist for catching fakes before you share them.
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The Claude Code Effect on the Engineering Org
Claude Code and the other agentic coding tools have changed what an engineering team looks like. The senior engineer writes the prompt. The junior engineer runs the code. The middle engineer is being squeezed out.
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What the AI Labs Aren’t Telling You About Safety
AI labs in 2026 are not telling you the full story about their safety work. They are not telling you because the full story is not flattering, because the full story would invite regulatory scrutiny, and because the full story would slow down the product release. The patterns in what the labs are not saying…
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What “Human in the Loop” Actually Means (And Why Most AI Products Get It Wrong)
A human is not meaningfully in the loop because a product displays an approval button. Real oversight requires context, time, authority, and evidence. Many products include the human only to absorb liability.
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Voice Cloning and the Death of Voice Verification
Voice verification sat as the security control the bank, the call center, the enterprise helpdesk relied on for years. The five second voice sample, the my voice is my password pitch, the security control that worked until the voice cloning tools became good enough to defeat it.
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What AI Cannot Do, Yet
A field guide to what AI cannot do in 2026, with the four areas where the models are still bad, the four areas where the models are getting better, and the part where the honest answer is that nobody knows yet.