Playbook
LatestPlaybook
Why most AI pilots never reach production
Pilots stall for predictable reasons that have little to do with the model. Here is what the projects that ship do differently, from scope to cost budgets.
KryloqField notes
How we think about building with AI.
Practical writing on taking AI from demo to production: scoping, evaluation, architecture and the unglamorous parts that decide whether a system gets used.
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Strategy
Strategy5 min read
AI agents vs. workflow automation: how to decide what your problem needs
Agents are flexible but harder to control. Pipelines are predictable but rigid. How to tell which one a business problem needs, and when to combine them.
Engineering
Engineering6 min read
What a production AI agent needs beyond the prompt
The prompt is a small part of a working agent. Evals, guardrails, observability, human review, cost controls, versioning and a real handover make up the rest.
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