Shopping feeds, search ads, landing pages, demand gen creative, competitive intelligence, and unified reporting — all from a single terminal. Built from a production system running live campaigns every day. Three tiers, one decision: how much do you want already built?
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Every growing agency hits it. Execution scales linearly with headcount. Margins do not. Feed rewrites take a full day per client. Landing pages get deprioritized because nobody has the hours. Competitive intel happens "when there's time" — which means never. Reporting is stitched together from four dashboards and delivered late.
Hiring compresses margins. SaaS tools solve pieces — Optmyzr for bids, Adalysis for ad testing — but none generate feed titles, build landing pages, create demand gen creative, or connect to Shopify. The bottleneck was never strategy. It's orchestrating Shopping feeds, Search RSAs, landing pages, creative assets, competitive intelligence, and reporting — simultaneously, across every account — without proportional headcount. This system exists because we built the system we couldn't buy.
Our agency hit the capacity ceiling. We tried the obvious fixes — hiring, SaaS stacking — and still did 80% of the work manually. So we built it ourselves. Not a tool. Not a dashboard. A system.
Started with the feed pipeline: a CLI chain that could rewrite an entire product feed with 152-point quality validation. Then presell pages. Then search ads. Then competitive intel. Then demand gen creative. Over a year of iteration. Some commands rewritten 4-5 times before production-grade. The result: an entire multi-brand portfolio managed from a single terminal. Minutes of monitoring per day instead of hours per account per week.
Then we documented it. 72,000 words across 20 modules became the Blueprint. But we kept hearing: "I don't want to build it. I want to run it." So we stripped credentials, removed brand data, and packaged what already existed. The Agent Codebase ships the core 27-command system. The End-to-End Codebase ships all 98 commands, all 253 utilities, all 29 skills — the full production system with a deployment guide instead of a build curriculum.
Same architecture at every tier. Different starting lines.
(Infrastructure) — Claude Code workspace with slash commands and skills. GCP project with 7 Google APIs + OAuth2. Python client library wrapping 8 external APIs. Multi-brand data architecture with 16 JSON contracts and 41 schemas. Brand onboarding pipeline: zero to research-complete in a single command — 24 phases, 21 DataForSEO queries, 380-620 angles per brand.
(Pipelines) — Eight production pipelines. Shopping Feed (7-command chain + feed-mine flywheel + feed-validate, 152-point validation). Presell Pages (14-command chain, discovery to deployed with PMax + autogrow + experiments backfill). Search Ads (RSA v11.2 with 3-per-cluster + 17-phase competitive intel + Microsoft Ads Bing parallel stack). DG Image + DG Video (creative-generate-videos v1.0 with TTS + compositing + 13-Point Creative v10.5 + 22 video + 25 image auto-matched themes). Offer Pages (10-command chain, bundle strategy, Shopify Liquid native + offer-autogrow). Creative Themes + Product Discovery. Output of one command feeds the next.
(Autonomy) — Unified reporting across Shopping + Search + Presell + PMax + Demand Gen + GSC organic. Autonomous optimization with append-only knowledge base. Shopify inventory sync. n8n orchestration brain — 21 workflows across monitoring, intelligence, and action dispatch. AutoResearch quality system. Portfolio-level health with cross-brand learning propagation.
One product. Three ways to implement. Choose the depth that matches your timeline.
Full 20-module curriculum across 3 phases — build the machine yourself
What you get
Not included
Everything in Blueprint + 24-command core agent system
What you get
Everything in Blueprint + full 75-command production system
What you get
Lifetime access. Free updates. Upgrade to a higher tier anytime — pay only the difference.
Custom AI agent development at comparable scope runs $80K-$200K+. SaaS subscriptions cost $2.5K-$10K/year forever.
Blueprint ($4,997)
— Avoids $80K-$200K custom build. Saves 10+ months of iteration vs building from raw Claude Code docs. At 3 brands: $162K/year in time savings = 32x ROI.
Agent Codebase ($9,997)
— Saves 60-75 build days ($54K-$67.5K at $900/day). Time to first revenue pipeline: 1-2 weeks vs 4+. 3 brands: 16x ROI. Break-even: Month 1.
End-to-End ($19,997)
— Saves 108+ build days ($97K+). 98-command system + 253 utilities + 29 skills + 1,743 templates = $200K-$407K in comparable dev value. Two ad networks (Google + Microsoft Ads) operational in 1-2 days vs 90. 3 brands: 10x ROI. 5 brands + 2 new: 20x+. Break-even: Month 2.
Cost of not building it
— every month at the capacity ceiling is a month of turning down clients ($5K+/month each) and losing clients to quality drops ($60K/year avg LTV). One turned-away client alone ($60K) exceeds the End-to-End price and dwarfs the Blueprint 12x.
Blueprint — 90-Day Build-and-Test. Build Phase 1 (Modules 1-5). Run `/brand-onboard` on your first client. When the pipeline produces a research baseline more comprehensive than what's currently built manually — it will, because every module has verification checkpoints — the system works. If it doesn't, full refund. Bonuses kept either way.
One product. Three implementation depths. The AI infrastructure that runs your entire Google Ads operation from a single terminal.
| Pipeline | Manual | System | Time reduction |
|---|---|---|---|
| Shopping Feed optimization | 8 hrs/brand/month | 18 min/segment | 96% |
| Presell page creation (3 pages) | 16 hrs | 30 min | 97% |
| RSA creation (per cluster) | 6 hrs | 15 min | 96% |
| Competitive intel refresh | 4 hrs (when it happens) | 12 min (automated) | 97% |
| Unified reporting | 3 hrs | 6 min | 97% |
| Total per brand per month | 47 hrs | 1.9 hrs | 96% |
| Metric | Before | After |
|---|---|---|
| Brands per operator | 5-8 (quality drops beyond) | 10+ (consistent quality) |
| Weekly management time | 15-24 hrs | 2.5 hrs |
| New client onboarding | 2-3 weeks | Hours (24-phase pipeline) |
| Feed quality score (152-pt) | Unmeasured | 94+ avg across portfolio |
| Competitive intel | Quarterly | Continuous |
| Metric | Generic AI Prompts | Structured Workflows | Improvement |
|---|---|---|---|
| CTR on Search ads | 3.8% | 5.6% | +47% |
| CPA on core campaigns | $41.20 | $31.70 | -23% |
| Headline uniqueness score | 31/100 | 82/100 | +165% |
| AI output passing quality filter | 12% | 58% | +383% |
Feed Pipeline — 2.1x ROAS. E-commerce brand, 2,400 SKUs across 3 markets, 31% impression share on generic titles. 7-command pipeline rewrote titles with Zone Architecture + 152-point validation. Six weeks: impression share 31% → 67%. ROAS 2.1x. $8K/month incremental.
Presell Pipeline — 2x conversion rate. DTC supplements, 12 hero products, 1.8% CVR on PDPs. 13-command pipeline: 4 products, 3 angle variants each, deployed to Cloudflare Pages, PMax campaigns created. Three weeks: 12 pages live, 3.7% CVR, 4.2x PMax ROAS. $22K/month incremental.
Multi-Brand Scale — 3 new clients, zero new hires. Agency managing 4 brands manually, hitting the wall at 15+ hrs/week, turning away prospects. Built the full system over 90 days. Onboarded 3 new clients in hours each. Result: 7 brands managed in 3 hrs/week total. $300K/year impact ($180K new + $120K retained).
“We bought the Blueprint first and spent three weeks on Phase 1. Then the codebase edition came out. Had the full system running in four days.”
“The feed pipeline paid for the entire product on the first brand. 118 products rewritten and uploaded in one afternoon.”
“I was skeptical about a five-figure digital product. Then I looked at what my team spent building a similar system last year — north of $120K in developer time and we only covered search and shopping.”
“The closest thing to cloning an experienced agency's entire tech stack.”
Last updated 5d ago · 2 updates since launch
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