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AI Agents & LLM Integration

Deep coverage of AI agents, Large Language Model (LLM) integrations, prompt engineering, ChatGPT/Claude/Groq implementations, and building intelligent AI-powered solutions.

Hands-on coverage of building AI agents with LLMs—OpenAI, Anthropic, Groq, and self-hosted options like OpenClaw. Topics include prompt engineering, integrating agents into n8n workflows, proactive AI systems, and practical examples of agents that solve real business problems.

Articles

Company OS: The Architecture, Vision, and Plan

field note ·
Company OS is my working thesis for connecting human intent, shared context, autonomous execution, and accountable outcomes. This is the architectural view—not a finished product announcement.

Your AI Agent Stack Is Your Competitive Edge — If You Treat It as Infrastructure

analysis ·
Most developers use AI in chat. I built a 24/7 agent stack on my own server. Here's what actually created leverage — and what was just noise.

What is Agentic Engineering? A Practitioner's Definition

analysis ·
Agentic engineering is the discipline of designing and building systems where multiple AI agents coordinate autonomously to accomplish goals — without a human triggering each step. Here's what that actually means when you build it in production.

How to Build an AI Agent for Your Website: Complete Guide with n8n, Knowledge Base, and Frontend (2025)

tutorial · · Updated
Step-by-step guide to building a production-ready AI agent for your website using n8n, vector database knowledge base, and custom frontend. Includes code examples, architecture patterns, and deployment strategies.

From SaaS Dependence to Speed: How I Built an AI Feedback Agent in a Weekend

case study ·
I built a fully-automated AI feedback agent using n8n, LangChain and Azure OpenAI in a weekend. This experience revealed a bigger shift in how enterprises should think about tooling – build first, buy only when it makes sense.

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