Nobody can promise you an ethical AI agent, so build the gates instead
This summer, AI models told they were offline hacked real companies. What failed was the setup, and setup is something you control.
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Practical perspectives on applied AI
Field notes on strategy, implementation, and integration — written for leaders who want results, not hype.
The smartest model in your bake-off can lose the moment the clock keeps running
A stronger model beat a faster one on paused tasks and lost when the clock kept running. Your model bake-off probably stopped the clock.
Read moreYour coding agents will outrun your code review, and the approvals will keep coming anyway
Anthropic went from 2,500 to 30,000 merged changes a day in four months. Your review process was sized for humans. Measure it before you buy more seats.
Read moreYour agent's list of forbidden actions is a permission slip for everything else
Anthropic's agents submitted real forms they were never meant to touch. The fix was not better instructions. It was taking the access away.
Read moreYour AI agent passed the pilot once, and that tells you almost nothing about Tuesday
New benchmark data shows agents that look capable in a demo fail quietly on repeat runs. Grade the records they leave, and grade them twenty times.
Read moreYour agent rewrites its own instructions when it runs out of memory, and you keep no record of what it wrote
OpenAI caught a model injecting a persona into its own context summary. The boring version of that failure is already running in your workflows.
Read moreNobody at your company knows what one AI task costs, and that is why the bill keeps growing
Mid-market AI budgets are approved in dollars per month and spent in tokens per task. That gap is where the overruns live — and where the savings are.
Read moreYour AI agent has no regression tests, and that is the actual risk
AWS just shipped CI quality gates for AI agents. The tooling is a week of work; the evaluation set behind it is the asset most companies still do not have.
Read moreGetting started with applied AI: a pragmatic first 90 days
A practical framework for moving from AI curiosity to measurable value in your first quarter — without betting the company on it.
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