The Bureau of Digital Inquiry
Small content teams break in one of two ways: too scared of AI or using it badly. My promise: you and I sit down and define the content playbook — how you brief, how you draft, how you QA — until the engine produces at volume without the quality curve collapsing.
Teams where one person writes, one person edits and one person publishes — often the same person. No content agency on retainer. You need someone to challenge the editorial mental model and leave behind a system your small team can actually run without hero-effort.
Small content teams fail in predictable ways. They're either too scared of AI — velocity dies, SEO footprint shrinks. Or they use AI badly — quality drops, brand erodes. Both lose. The teams winning have done something harder: rebuilt the editorial mental model so AI drafts, humans judge, and output scales without the quality curve collapsing. That shift is almost always sparring-assisted — not tool-assisted.
Twice a month vs. twenty — You publish twice a month. The AEO-native competitor publishes twenty. The gap isn't closing — it's compounding.
Three-day briefs vs. overnight briefs — Your briefs take three days because nobody taught the team how to prompt the brief into existence.
You write for Google. They write for Google AND ChatGPT — Same word count, two outcomes. They earn SEO and citations. You earn one — sometimes.
QA is a bottleneck, not a rubric — Your editorial gate depends on one senior person. Theirs is a documented rubric anyone on a small team can run.
Content compounds. Hesitation doesn't.
Here's my promise: you and I sit down together, challenge how your team thinks about briefs, drafts, QA and refresh, and define the content playbook your team runs from Monday. I don't ship a deck and leave — we build the playbook together, and you keep it. This is sparring and coaching, not execution.
AEO-native briefs — We co-design briefs that generate in an afternoon — aligned to keyword, intent and brand voice from minute one.
Fact-pipeline drafting — A mental model for AI-drafted, human-verified, source-cited content. Nothing ships uncited.
Editorial QA rubric — A single scorecard your whole small team can run. Quality at volume — measurable, not vibes.
Topic cluster thinking — Own a topic, not just a keyword. We map clusters your team can prioritize and maintain without me.
Evergreen refresh loops — Last year's winners, republished with current context — on a cadence your small team can actually run.
Human-AI editorial handoffs — We document the moments where AI hands to a human and back. No more tribal knowledge — just playbook.