A two-person-feeling shop that runs like a team of twenty: an AI orchestration layer drives a fleet of integrations through a strict "automate-first" discipline. Here's the whole stack, top to bottom.
Claude (Cowork)
Strategy, decisions, research, visuals, and dispatching work — the planner.
Claude Code
Autonomous build agent — runs contracts end-to-end in the terminal.
Parallel subagents
Fan-out: many agents build/verify at once.
Skills (SKILL.md)
Reusable playbooks: docx, pptx, xlsx, pdf, deep-research, ghl-automation, scheduler.
Verdict memory
Every proven method is logged so it's never re-figured-out.
The OS (~/Kevins_OS)
Single source of truth; git-tracked; synced to Project Knowledge.
GoHighLevel
200+ CRM API tools: contacts, pipelines, calendars, workflows, custom fields, media, invoices, Voice AI.
Stripe
Products, prices, payment links, subscriptions, refunds, Connect payouts.
Claude-in-Chrome
DOM-aware browser control for web apps with no API.
Computer-use
Native desktop control — anything on screen.
Google Workspace
Drive, Gmail, Calendar — search, draft, schedule.
Microsoft 365
Outlook + SharePoint search.
Docusign
E-sign for partner / client agreements (wiring).
Scheduled tasks
Recurring/at-time automation that runs itself.
Connector registry
Discovers + suggests new integrations on demand.
1 · API / MCP
First choice — direct, fast, precise.
2 · Native AI builders
GHL "Build with AI" workflow + Voice AI config from plain English.
3 · Playwright
Browser automation for UI-only gaps — cross-origin iframes, trusted events, drag-drop.
4 · Human
Last resort, smallest possible action — and we log why automation couldn't.
SaaS mode
Pay → auto-creates a sub-account from a snapshot, zero human.
Voice AI
Answers calls, books, captures — persona generated per customer.
Conversation AI
Web chat + FB/IG DM + Google Business, one inbox.
Workflow / Content / Reviews AI
Automations, social posts, review replies.
Snapshots
Canonical template cloned to every new account.
Marketplace OAuth app
Private app for zero-touch, scoped provisioning (scaling).
Cloudflare Pages
Hosts every site: marketing, opt-in, partner, demo, handbook, training portal.
Cloudflare Workers
Edge APIs: /api/optin, /api/partner-apply, OAuth callback.
Cloudflare DNS
Zones + subdomains, DMARC/SPF/DKIM managed.
GitHub
Version control + history for the whole OS.
Python + Node
Provisioning scripts (zero-dep urllib), wrangler, tooling.
MkDocs
Customer handbook as a docs site.
Stripe billing + Connect
Subscriptions, 30-day trials, instant partner payouts.
Secrets hygiene
Encrypted Pages secrets + gitignored .env; nothing in chat.
Zero-human provisioning
A paid signup becomes a fully-configured, AI-staffed account — including a Voice AI persona generated from the customer's own intake — with one human smoke-test, not a build team.
Automate-first by rule, not vibe
Every task runs the API → native-AI → browser → human ladder, and the winning method is recorded so the next one is instant. The system gets faster the more it's used.
The product demos itself
A prospect talks to the live AI on the page and the follow-up lands in their inbox a minute later — the sale is the demo, which collapses the skill bar for a sales partner.
One brain, many hands
A planning agent dispatches autonomous build agents and parallel subagents across CRM, payments, hosting, and the browser — shipping like a full team from a tiny footprint.
Operational memory
A single git-tracked OS + an asset registry means nothing — not a method, not a $500 purchase — gets lost between sessions. It compounds.
Aligned incentives, instant pay
Partners earn a lifetime residual paid the instant each customer payment clears, via Stripe Connect — a real asset, not a delayed commission.
Anyone can rent the same model (Claude) and the same platform (GoHighLevel). The defensible layer is the proprietary context we accumulate on top — and it compounds on two levels.
Customer context — the durable moat
Each account's AI is trained on their catalog, pricing, voice, hours — then every call, chat, DM, review & booking deepens what it knows about their business and their customers. The longer they stay, the smarter it gets and the more painful it is to rip out. A compounding switching cost — and why churn stays low.
Operational context — the speed moat
Our OS, verdict memory and asset registry keep every proven method and every mapped dead-end solved. A competitor starting today has to rediscover all of it. We ship like a team of twenty because our build context never resets.
The flywheel: more usage → more context → better AI → better results + higher switching cost → lower churn + longer account life → even more context. ↺
RevStack & AITableFlow — technical overview · back to Lifecycle Architecture