Blog
Thoughts on building AI agents that work in production. Architecture, deployment, edge cases, and lessons from 109 shipped systems.

AI Agents Are Coming for Your SaaS Stack and VCs Are Betting Billions on It
The SaaS business model is under pressure as AI agents replace per seat software. TechCrunch calls it the SaaSpocalypse. Here is what it means for your business.

AI Is Now As Good As Humans at Using Computers. Here Is What $297 Billion in Q1 Funding Says About What Comes Next.
AI models are matching or exceeding human performance on real desktop computer tasks. Q1 2026 brought a record $297 billion in AI investment in a single quarter. Together, these two facts tell you everything about where the next 18 months are heading and what your business needs to do.

Google Just Released the Most Capable Open Source AI Agent Model. Here Is What It Means for Your Business.
Google's Gemma 4 scored 86.4% on tau2-bench for agentic tasks, a 13x jump over Gemma 3. Here is what the most capable open source AI agent model means for businesses building AI systems in 2026.

Agentic RAG: The Complete Production Guide Nobody Else Wrote
A practitioner's guide to agentic RAG covering the five-component architecture, chunking strategies, four common failure modes, LLM-as-judge evaluation, and real cost-per-query numbers from 109 production deployments.

n8n 2.0 AI Agents: The Workflow Architecture I Use Across Every Client Deployment
A practitioner's deep dive into building real n8n 2.0 AI agent workflows with LangChain integration, persistent memory strategies, custom tool nodes, and cost optimization across 40+ production deployments.

Model Context Protocol: How I Build MCP Servers That Run in Production (and What Most Guides Skip)
A practitioner's guide to building Model Context Protocol servers that actually work in production, covering authentication, error handling, transport options, deployment, and real ROI numbers from 23 client deployments.

Most Clients Come to Me Wanting AI Agents. Most Leave With Zapier Instead.
I build AI agents professionally. Most of my clients come in wanting an agent and leave with a simpler, cheaper automation instead. Here is the framework I use to tell the difference.

How to Install OpenClaw in 2026: Complete Setup Guide for Every Method
Step-by-step OpenClaw installation guide covering Railway one-click, DigitalOcean, Docker VPS, and local Mac setup. Real commands, security hardening, and troubleshooting included.

What Is OpenClaw? Everything You Need to Know About the World's Most Starred AI Agent
OpenClaw is the open source AI agent with 280K+ GitHub stars. This guide covers what it is, how it works, its features, and why everyone is using it in 2026.

5 AI Automations Every Small Business Should Deploy Before 2027
Five proven AI automations that pay for themselves within months: AI receptionist, lead scoring, RAG chatbot, automated reporting, and AI onboarding. Real ROI numbers for businesses with 5 to 50 employees.

What Is RAG? The Business Owner's Guide to AI That Actually Knows Your Company
Generic AI makes things up about your business. RAG (Retrieval Augmented Generation) connects AI to your actual documents so it gives accurate, cited answers. Here is how it works in plain English, real ROI numbers, and how to get started.

AI Voice Agents for Home Services: How HVAC Companies Stop Losing Calls and Revenue
Home service companies miss 30% to 60% of incoming calls, losing $200K+ per year. AI voice agents answer every call 24/7, book appointments, qualify leads, and update your CRM. Here is the ROI math, what to look for, and how to get started.

The Complete Guide to Building AI Agents That Actually Work in Production
After shipping 109 production AI systems, here is everything I have learned about building agents that survive real users, real scale, and real edge cases. Architecture patterns, RAG pipelines, tool use, multi agent orchestration, and cost optimization.