Digital Product — Instant Access
The OpenClaw Business Automation Playbook
How to build AI systems that run your business 24/7. Production-tested configurations from a team running 18 MCP servers, 14 Docker containers, and multi-agent orchestration in production.
What's Inside
- Multi-Agent Architecture — Orchestrator + Writer + Researcher pattern that cuts costs 60-70%
- Memory Architecture — Three-layer system so your agents actually remember things
- 6 Core Automations — Morning briefings, lead enrichment, payment automation, competitor monitoring, content pipeline, client portal
- MCP Server Recipes — Copy-paste configs for Essential, Intelligence, and DevOps stacks
- Pricing Framework — What to charge clients, your actual costs, margin analysis at 10/50 clients
- Common Mistakes — The 6 errors that waste months (we made all of them)
This Is Not Another Tutorial
- Every config in this guide runs in our production environment
- Real MCP server configurations, not toy examples
- Actual cost data from production usage
- Pricing frameworks tested on real clients
- Multi-agent patterns that reduce token spend by 60-70%
Who this is for: Developers, freelancers, and agency owners who want to sell AI automation services using OpenClaw. You should already have OpenClaw installed. This guide shows you what to build and how to price it.
Our Production Stack
This playbook is built from running all of this in production:
- ✓ Stripe — payments, subscriptions, invoicing
- ✓ Supabase — databases, auth, edge functions
- ✓ Explorium B2B — company & prospect intelligence
- ✓ Firecrawl — web research & scraping
- ✓ OSINT + Maigret — person research across 3,000+ sources
- ✓ Playwright — browser automation
- ✓ Resend — transactional email
- ✓ GitHub + Netlify — CI/CD and deployments
- ✓ YouTube API — content publishing
- ✓ Docker — containerized infrastructure