Case study #2 · Receipt AgentGo-20260624 · Three proof angles

From brief to a category surface — with receipts, not slides.

PureFlow (#1) proved local acquisition for trades. AgentGo (#2) proves governed factory throughput: a full GEO intelligence marketing surface — trackers, research, compare — with honest brand separation on disk.

Disk inventory June 2026 · 1,259 HTML pages · 592 research topics · 83 compare · 23 tracker landings · desktop demo :8080 · AgentGo ≠ SourceA product

Who this case study is for

Marketing and SaaS leaders evaluating whether you can ship category-scale surfaces without a six-month content program. Agency CTOs who want deploy proof on a screen-share, not a slide that says “we could.”

Not for: local pool operators (see PureFlow). Not for: buyers who need live GEO billing on day one — we prove factory structure first.

Disk inventory (SA4)

What “factory scale” means — counted, not claimed

1,259

HTML pages in the SA4 tree — homepage, trackers, research, compare, guides, blog.

592

Research topic folders — long-form authority surface, not five landing pages.

Receipt: data/agentgo-sa4-inventory-receipt-v1.json on disk · refreshed by polish_agentgo_case_study_v3.py

Angle A · Factory scale

GEO intelligence surface — trackers · research · compare

GEO trackers

Vendor-specific visibility landings — ChatGPT · Perplexity · Gemini · Claude · Grok · Qwen · Copilot · Meta AI and more.

Research hub

592 research topics plus 120 guides and glossary — the depth buyers expect from a category player.

Pure law: prove throughput + structure — not live AgentGo SaaS checkout on day one.

Angle B · Dual desktop deploy

One green-unified SourceA spine deploys to two honest desktop shells — so agencies see deploy, not deck.

  • Agent Run · :5180 — canonical commercial landing + both case studies
  • SA4 / AgentGo · :8080 — cinematic stack + /sourcea/ portfolio lane
  • Validatevalidate-sourcea-desktop-landing-v1.sh on ship window

production = sourcea.app · demo = localhost — we never blur the two in buyer copy.

Angle C · Wil L3 separation

AgentGo lives in the Wil AI ecosystem intelligence stack. SourceA is the runtime governance lane inside that shell — separate products, separate buyer promises.

  • Every buyer page carries: portfolio lane — not AgentGo SaaS checkout
  • Wil ship gate (routes · browser · E2E) is L3 law — cited read-only from YA5
  • localhost:3001 sign-in is not sold as production

Build chain (summary)

  1. Scoped brief — category GEO surface · three proof angles · separation law upfront
  2. Factory generation — trackers · research · compare grid from governed pipeline
  3. Case study ship — this page on sourcea.app with commercial + depth gates PASS
  4. Desktop deploy — Agent Run + SA4 parity via deploy_sourcea_desktop_landing_v1.py

Technical replay: proof chain demo · self-serve eval: sourcea-boot.

Two case studies · one factory

PureFlow vs AgentGo — pick the story that matches your buyer

Need factory-scale proof for your category?

Asset B Agent Loop Build $3–10K · fixed scope · verified records — governance factory, not hourly GEO consulting

Technical depth: Technical overview →