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Applied AI·July 17, 2026·1 min read

Claude Code’s creator offers a better way to measure AI success than token burn

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Shifting AI metrics from tokens burned to human hours saved is a quiet but important reframing — it forces teams to instrument workflows, not just infra. If your AI dashboards don’t tie usage to time, error rates, and rework, you’re managing a cost center, not an efficiency program.

Applied AI

Source: Microsoft plans to release an AI security tool this month using models from Anthropic, OpenAI, and itself, as a cost-effective Mythos alternative

If Microsoft is productizing a Mythos-like bug finder on top of Anthropic, OpenAI, and its own models, AI-assisted security review is moving from research toy to line-item tool. Security and platform teams should assume customers will soon expect AI-first code and infra scanning baked into the stack, not sold as a separate add-on.