02Applied AI
Production AI needs a control plane, not another demo.
A useful prototype proves that a model can contribute. A production system must prove that the whole workflow can be observed, evaluated, controlled, and owned.
Read articleInsights
Ideas for systems that have to operate.
Field notes for leaders connecting MarTech, data, AI, product, and engineering inside the constraints of a real enterprise.
Read the field notesEditorial point of view
Substance over trend commentary.
Each article starts with a production tension, makes the architecture or operating decision visible, and leaves the reader with a usable frame.
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Field Notes
Field Notes
01
Featured · MarTech transformation
Before you add AI, make the MarTech system legible.
AI can accelerate a marketing system, but it cannot resolve unclear ownership, disconnected decisions, weak measurement, or an architecture nobody can explain.
2 min readSep 1, 2026
Read the field note 03Data & decisions
Measurement architecture is the contract between marketing and technology.
When definitions, instrumentation, identity, experiments, and reporting are designed separately, performance debates become data debates.
Read article04Platforms & integration
Composable should increase freedom—not operational chaos.
Modularity creates options. Without contracts, ownership, observability, and release discipline, it can also multiply seams and slow the enterprise down.
Read articleStart with clarity
Turn a field note into a working architecture conversation.
Bring the system you are trying to make legible. We will begin with the decision and the evidence around it.
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