This publication is AI-assisted, not AI-authored.
AI is used as a research and synthesis tool to:
Scan a wide range of product announcements, platform updates, and technical material
Surface patterns, anomalies, and emerging signals
Generate early drafts and summaries at scale
All selection, framing, interpretation, and conclusions are human-driven.
In practice, this means:
AI helps identify what might be interesting
Human judgment determines what matters and why
The analysis reflects practitioner experience, not vendor messaging
This mirrors the very topic the blog covers: effective human–machine collaboration, with clear ownership of the judgment layer.