Featured · Workshops
What to teach when the tools change every week
Most AI training teaches tool features, and tool features now expire in weeks. What lasts is the layer underneath: context, checking, decomposition, judgment.
Notes from the work.
Field-tested takes on what we're seeing.
Strategy
The two kinds of AI use (and why companies confuse them)
Half the AI arguments inside a company are two people using the same word for different things. One kind helps almost anyone tomorrow; the other is software.
Evaluation
What's changed in our recommendations this quarter
The densest quarter on the model release calendar since GPT-5 shipped. One read of what shifted, what stayed, and what it changes for anyone making AI decisions right now.
Agents
What 'agentic' actually means in 2026
The word lost most of its meaning in 2024 and has been slowly recovering it. A working definition, three failure modes, and a checklist.
Agents
The agent question is the wrong question
The most common opening question we get from buyers in 2026 is 'should we build an agent?' It's the wrong question, and the right one is harder.
Local AI
Why local AI is real now (and where it isn't)
The honest answer about local AI changed sometime in the past year. Here is what runs locally now, what doesn't, what 'local' really means, and who actually benefits.
Strategy
What we tell first-time AI buyers when they ask where to start
The conversation we have with first-time AI buyers on a discovery call. Start with one bounded workflow: not a tool, not a budget, not an agent.
Adoption
The unglamorous half of every AI engagement
The demo is always good. Half of every AI engagement is the unglamorous work nobody demos, and that half decides whether the system survives.
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