Build AI Agents That Get Paid
OpenClaw + Hermes + MCP Systems That Sell for $3K-$10K
Freelancers on r/AI_Agents are closing $5K-$15K deals building OpenClaw agents with custom MCP servers. The difference isn't talent. It's a three-layer stack: OpenClaw for orchestration, Hermes for reasoning, MCP for tools. This book ships the complete stack plus the consulting playbook that turns it into paid engagements.
The three-layer stack that turns a hobby agent into a $3K-$10K client deliverable. OpenClaw for orchestration, Hermes for reasoning and memory, MCP for tool connections. Installation fixes, security hardening, production deployment, and the consulting playbook that sells the whole thing.
What You'll Build
The real Reddit post, the real invoice, and why this window is closing.
The honest framework comparison and why the three layers beat LangChain alone.
Node 22.14, Docker RAM, and the 7 install pitfalls that kill 60% of first-timers.
Gmail triage in under an hour using community MCP servers.
Custom MCP server from scratch plus the tool pruning pattern that keeps you under the 50-tool ceiling.
One-line SQLite fix plus Hermes three-tier memory (session + persistent FTS5 + skill extraction).
Hub-and-Spoke + loop detection that stops the politeness loop killing your token budget.
CVE-2026-25253, the iMessage incident, and the production hardening checklist.
Docker + three-tier model routing + phantom success detection on a VPS under $50/month.
Three pricing tiers ($3K / $5K / $10K) mapped to chapter deliverables, with proposal and scope templates.
The honest chapter. What's fragile, what's durable, what's worth betting on.
Week 1: stack running. Week 2: custom MCP. Week 3: production. Week 4: first outreach sent.
Free Articles from this Book
Phantom Successes: Why AI Agents Lie About 401 Errors
AI agents report success on ~10-15% of failed API calls (illustrative). Here's why, and the is_error pattern you enforce in your MCP server to stop it.
from: Build AI Agents That Get Paid
OpenClaw Persistent Memory + Hermes Skill Sidecar
OpenClaw already persists facts. What it doesn't do is get faster at repeated workflows. Here's the Hermes three-tier sidecar that adds procedural skill memory.
from: Build AI Agents That Get Paid
Stop Politeness Loops With OpenClaw Hub-and-Spoke + Loop Detection
Why two peer agents endlessly defer, the Hub-and-Spoke fix with OpenClaw's tools.agentToAgent, and the real tools.loopDetection schema that catches runaway patterns.
from: Build AI Agents That Get Paid
MCP Token Bloat: Cut 42K Tokens to 3K With an OpenClaw Proxy
MCP tool definitions eat your context window. A protocol proposal and a working proxy pattern that sits in front of OpenClaw's real mcp.servers config.
from: Build AI Agents That Get Paid
The 7 OpenClaw Install Pitfalls That Kill 60% of First Installs
Node 22.14+ wall, WSL2 permissions, Docker RAM, whitespace in API keys, gateway port 18789. Seven OpenClaw install pitfalls in order with copy-paste fixes.
from: Build AI Agents That Get Paid