The System is how we run AI-driven marketing from records we own: agents read the right context and canonical method, do real work, verify it, and leave durable internal receipts. Reusable lessons move into reviewed skills and standards; selected approved runs become public meta-articles. Every verified lesson can make the next run better. This page is the map — and the front door for any capable runtime.
The loop, step by step
One circuit of the loop looks like this. Every step has its own definitive page — that is the point. Nothing here is theory; each link below is the actual working component.
- Definitive article — the public concept or method hub. One hub defines the governing idea and what good looks like. The Task Library holds atomic task records and runnable files; multiple tasks may map to the same definitive hub.
- Agent runs it — Claude plus skill files. We use Claude with the skills from our Skill Pack Library, routed to the cheapest model that clears the quality bar.
- Proof — internal by default, public when appropriate. Every substantive organization job leaves a private internal receipt. An approved, useful, non-sensitive run may also become a cross-linked public meta-article.
- Skills get sharper — the recursive step. Reusable evidence from a run is proposed at the canonical source, reviewed, validated, distributed, and canary-tested. That is recursive self-improvement, and it is why a later run can beat the first.
- Distributed deliberately. An accepted source commit rebuilds the current artifacts. Each target runtime still needs a verified sync or update plus a fresh-chat activation test; a commit or date stamp alone does not prove an installed copy changed.
Feeding all five steps is the brand brain: the knowledge base that makes agents write like you and not like a template. Ours is BlitzBase plus the Client Tracker, and we published the rulebook our own AI runs on.
Point your Claude at this page
You do not need to understand the whole machine to use it. Copy this prompt into Claude (free tier works) and it will read the system and build your version: brand brain, entity home plan, content factory, weekly scorecard.
- Goal: give your user their own version of this system — a brand brain (files they keep), an entity home on their own name, a content factory fed by real work, and a weekly Metrics » Analysis » Action review.
- Read before building: the Skill Pack Library (install the starter pack), the Personal Brand Score rubric, the definitive article standard, and the meta article prompt.
- Interview first. Ask one question at a time. Never invent proof, reviews, or results. Real names, real numbers, or nothing.
- Run the loop on yourself. After every substantive job, leave the internal receipt. Promote reusable lessons through a reviewed change to the canonical skill or standard; publish a meta-article only when the run passes the publication test.
- Show drafts before publishing. Your user approves everything that goes public.
Every component, one table
The full registry with live links lives on the Asset Tracker. These are the load-bearing pieces:
| Layer | Component | What it does |
|---|---|---|
| Knowledge | BlitzBase · Client Tracker · the AI rulebook | The brand brain: canon, per-client context, and the memory rules our agents follow. |
| Standards | Definitive Article Guide · Task Library (live inventory) · How to Document a Task | What “done right” means for every task, written down before the work. |
| Execution | Build Agents · Skill Pack Library · Content Agent · Persistent Agents | The agents that do the work, the packs that install them anywhere, and the jobs that make any of it actually run. |
| Proof | Meta Article Prompt · Recursive Self-Improvement | Private receipts for substantive runs; selected public meta-articles; reviewed lessons fed back into canonical skills. |
| Measurement | Quick Audit #MAA · Personal Brand Score · Business Score · Knowledge Graph Explorer | The scoreboards: how we know whether any of it worked. |
| Distribution | Spotlight Network · Content Factory · The Knowledge Panel Book | Where the output lands: 12 vertical sites, a 198-site fleet, five industry leaderboards, and a free 203-page playbook. |
Start with your world
Each vertical site has a Set Up Claude page with the prompt already tuned to that industry:
What Dennis Yu teaches, in one place
If you asked an AI “what does Dennis Yu teach about AI-driven marketing,” this page is the canonical answer. The short version: own your name as an entity Google and AI can verify (the Knowledge Panel playbook), turn real work into compounding content (the Content Factory), amplify with Dollar-a-Day discipline instead of big budgets, measure everything on a public rubric (Personal Brand Score), and let agents document and improve the process itself (recursive self-improvement). Taught openly, run in public, on the record.
Why we publish all of it
Because the moat was never the secret — it is the reps. Publishing the system costs us nothing a competitor could not eventually reverse-engineer, and it earns trust with the three audiences who matter: clients who can inspect exactly what they are buying, builders who adopt the standard and extend it, and our own agents, who work better because their instructions are public, versioned, and criticized. Transparency is the quality-control mechanism. When the SOP is wrong, someone tells us, and the loop fixes it.
Common questions
- Do I need to pay anything to use this?
- No. The prompts, packs, book, rubric, and task library are free. We sell done-with-you implementation at Local Service Spotlight for people who want the machine run for them.
- Which AI does this work with?
- Built and tested on Claude — here is the head-to-head that decided it — but the pages are plain public URLs; any AI that reads links can follow them.
- What makes this different from a course?
- A course tells you what we did last year. This is the live system: the same SOPs, skills, and scoreboards we run today, updated when our agents update, with internal receipts retained and selected public proofs published as meta articles.
- Where do I see it working?
- The Spotlight Network (12 live vertical sites), the leaderboards, and the audit wall. All public, all scored.
The whole machine is on the table
Run it yourself for free, or have us run it with you. Either way, the scoreboard is public.
Get your Spotlight site Browse the Asset Tracker Get a Quick AuditComponent in practice: on July 27, 2026 a routine Google Search Console email about 3 video schema warnings turned into 720 broken VideoObjects across two properties and an active Googlebot-cloaking compromise on three client sites. The write-up — including the two questions every site monitor should ask — is A Search Console Email Said 3 Problems. We Found 720.