Architecture and delivery

Understand what you're changing.

Before committing to a plan, establish what the systems do today, how they depend on each other, and what the business needs from them.

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AI and governance

Make authority and responsibility explicit.

AI adoption brings familiar questions into sharper focus. Who can act, what can they change, and how do you establish what happened?

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Engineering in practice

Follow the work into the implementation.

Public code and technical explanations from building inference engines, investigating model behavior, and measuring GPU performance.

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Team training & working sessions

Work through it
with your team.

A guide gives you somewhere to start. A working session gives your team room to apply it to the systems they own, ask questions, and work through the awkward parts together.

I can build sessions around agent-assisted engineering, architecture reviews, or AI governance, using your team's work and constraints to make the material useful.

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