What we’re learning,
shared as we learn it.
Notes from inside our engagements — on AI engineering, data infrastructure and the Google ecosystem — written for the teams making similar decisions.
4
focus areas we publish on regularly
focus areas we publish on regularly
1st
hand notes, drawn from live client engagements
hand notes, drawn from live client engagements
Google
Technologies Partner perspective on every post
Technologies Partner perspective on every post
No
recycled thought leadership — every note ties to real work
recycled thought leadership — every note ties to real work
WHY WE WRITE THIS
Notes from the work,
not around it.
Most of what we publish here comes directly out of a client engagement — a scoring model that needed rethinking, a pipeline that broke in an interesting way, a Google Ads change that shifted how a campaign performed. We write it down because the next project usually runs into the same question.
WHAT WE COVER
Four areas,
one engineering lens.
Each area maps directly to a practice we run day to day.
01 — AI ENGINEERING
From prototype to production
What actually breaks when an AI system moves from a demo to something a real institution depends on — evaluation, observability, and the failure modes that don’t show up until scale.
02 — DATA ENGINEERING
Making messy data trustworthy
Pipeline design, scoring methodology and the unglamorous work of matching records across sources that were never meant to talk to each other.
03 — GOOGLE ECOSYSTEM
What’s actually changing in Ads and Search
Notes from managing 40+ live Google Ads accounts — what a platform change actually does to performance, beyond the release notes.
04 — WEB & INFRASTRUCTURE
Building for the platform you’re on
Shopify, WooCommerce and custom-built storefronts — the platform-specific decisions that don’t show up in a generic best-practices list.
RECENT NOTES
Latest from
the practice.
A placeholder view of how recent posts will appear — populate with your latest published entries.
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