Thoughts & Methodology
Exploring the intersection of AI, automation, and indie development.
Building an Autonomous Market Intelligence Engine: How I Replaced My Job Search with AI Agents
Manual job searching is a brute-force loop with terrible returns. So I stopped searching and built a system that does it instead: autonomous scrapers feeding an LLM that scores every posting against my profile and tells me what skills I'm missing. The output isn't a job list. It's a map of the market.
Why Your Agentic AI System Forgets Itself: A Coordinator's Guide to Context Rot
The moment your agentic AI system starts repeating mistakes or forgetting decisions isn't a model failure — it's an architecture failure. Here's what context rot and token bloat actually are, why they compound as you scale, and how a non-technical Coordinator can design against them from day one.
Building Bield: How an AI Orchestration System Shipped a Native Android App Without Me Writing a Single Line of Kotlin
Bield is a free, fully offline Android app for mental wellness through sound therapy. This is how an AI orchestration system — not a single chat session — shipped it in native Kotlin without me writing a line of implementation code.
I Don't Write Code. I Architect Systems That Do.
Why giving up the 'learn to code' path and focusing on AI orchestration architecture is a more sustainable long-term strategy for builders with ideas but without a traditional CS background.