AI is just another tool. This is where I engineer with it.
I document how I use AI to modify real systems all with constraints, tradeoffs, scripts, and outcomes.
Stop Re-Prompting: Build Reusable AI Workflows Instead
February 7, 2026 — Jaren

Most AI coding failures aren’t model problems, they’re workflow problems. This article outlines a simple three-phase process that separates planning, design, and execution so AI-assisted work becomes debuggable, reusable, and consistent across tools.
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Building Your Own SEO System: How Small Wins Compound Into Real Growth
After running five blogs with identical setups but different outcomes, I built a system through trial and error. Meta keywords, schema markup, taxonomy cleanup, and…
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Learning Game Development with AI: My Journey Building Custom 404 Games for Every Site
Turning Error Pages Into Playgrounds What if every broken link on your website wasn’t annoying, but fun? That’s the question that kicked off my game…
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Why Most AI Finance Solutions Disappoint (And Which Ones Actually Work)
AI can help you budget and manage subscriptions. AI trading bots that beat the market? Fantasy. We break down what's real and what's hype.
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The AI Hype Cycle: Why Some AI Trends Fade While Others Stick
AI hype comes and goes, but which trends actually stick? We explore the AI hype cycle, why some innovations fade, and how to identify AI…
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AI vs. Traditional Coding: Which Approach Is Best for You in 2025?
Discover the pros and cons of AI-driven development vs. traditional coding. Learn which approach suits your project needs in this comprehensive guide.
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Why AI-Generated Code Passes Tests But Breaks in Production
AI code passes tests but breaks in production. Why "logically correct" ≠ works for users. Real bugs, real costs, and how to use AI without…
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