Guides, blog posts, and tools, written from inside real client work.
Long-form playbooks you can take away, argue with, and adapt.
An implementation diary on building an owned marketing dashboard with two ingestion lanes, one shared metric store, and an image-to-row AI lane for a source with no API.
Read the guideWhy persistent, queryable AI memory is the infrastructure layer under compounding marketing work, and what it actually takes to build and operate one at agency scale.
Read the guideShorter pieces, teardowns, and the patterns we're seeing across engagements.
llms.txt has a narrow role in agent readiness. It is not a shortcut to AI Overviews, ChatGPT citations, or Perplexity visibility.
Read the postPassage-first is real. The magic 40 to 60 word answer block is folklore. Here is what the evidence actually supports.
Read the postConnecting an AI agent to your tools widens what can go wrong. Scope tight, default to read, keep a human on writes, and log everything.
Read the postInteractive calculators, audits, and diagnostic tools to go alongside the guides.
Notion templates, prompt packs, and working artefacts to accompany our guides.
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Tell us what you're trying to build. If one of our engagement models is the right fit we'll say so; if the writing is enough on its own, we'll say that too.