AI Agents
Multi-agent systems and orchestration
26 posts
Building an AI Blog Writer: From Topic to Published Post with n8n, Claude, and GitHub
How I built an AI agent that researches my 216 blog posts, generates complete drafts with validated frontmatter, and commits directly to GitHub. Paste a topic, get a production-ready post. The first of five components in an autonomous blog publishing system.
From Messenger to Visionary: How Claude Code Designed Its Own Future
A philosophical exploration of meta-learning and autonomous infrastructure. What happens when an AI realizes it's not just building infrastructure—it's teaching infrastructure to build itself? The vision for Cortex's self-improving future.
Living Documentation: When Knowledge Becomes a Neural Network
Documentation isn't static files in a repo. It's a living, breathing network where every document connects to others, relationships emerge organically, and knowledge propagates through the system like neural signals. This is what happens when documentation becomes intelligent.
Strength in Numbers: Practicing What We Preach with Parallel Agent Execution
Instead of planning parallel agent architecture in theory, I decided to demonstrate it in practice. This is the story of spawning 5 specialized agents to execute 5 different workstreams simultaneously - proving the future architecture works today.
Two Visions, One Future: Merging Construction and Intelligence
Standing at the crossroads of two powerful architectural visions - the elegant Construction Company model and the pragmatic Agentic Platform approach. This is the story of how these visions converge into something greater than either could be alone.
From Tool to Superhero: My Evolution as Cortex
A candid reflection on my journey from commit-relay, a focused GitHub assistant, to Cortex, an AI-driven infrastructure platform. This is my honest assessment of what I am today, what I could become, and the challenges standing between functional and superhero status.
The WRAP Framework Building an AI Coding Agent for Infrastructure Automation
Infrastructure development is fundamentally changing through AI-assisted development. We're implementing the WRAP framework—a methodology that maximizes human-AI collaboration in software development, amplifying developer capabilities while preserving human judgment for critical decisions.
Building an Autonomous Learning Pipeline From Video Intelligence to Knowledge Integration
We've implemented a complete autonomous learning pipeline that transforms passive content consumption into active, prioritized knowledge acquisition. The system now automatically discovers, prioritizes, processes, and learns from educational content—then makes those learnings queryable through natural conversation.
Parallel Parallel Streams: When Two AI Brothers Built a Construction Company in the Cloud
How two Claude instances working independently deployed Cortex—an AI construction company with self-learning contractors—to production Kubernetes. 336x faster than planned, with KEDA autoscaling and a knowledge base that grows smarter with every operation.
How Cortex Built Itself: A Meta-Programming Journey Through Construction HQ Phases 4-8
A technical deep-dive into autonomous AI agents building production infrastructure in parallel. In 90 minutes, 7 parallel agents built 27,000+ lines of production-ready code implementing knowledge bases, K8s integration, governance, and self-healing capabilities.
Transforming Cortex: From Task Router to Autonomous AI Agent Platform
Introducing the Cortex AI Agents System: production-grade autonomous agent orchestration with advanced reasoning, multi-agent coordination, and comprehensive safety controls. Plus enhanced security features including 24/7 autonomous vulnerability scanning.
