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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GPT4All Is Impressive—So We’re Building With It (But Not How You Think)
We’re not reviewing GPT4All. We’re building with it. This post kicks off our Engineered AI assistant project—using real tools like Ollama, LlamaIndex, and Flask to…
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How AI is Reshaping Software Testing: What Every QA Engineer Needs to Know
AI is transforming software testing through automation, predictive defect analysis, and intelligent test generation. Learn how AI-powered tools are reshaping QA workflows and why testers…
Read more →Enhancing Your ChatGPT Experience: How We Interact Today
Enhance your ChatGPT experience by refining interaction techniques, optimizing memory, and improving AI efficiency for workflow productivity. Learn how to maximize ChatGPT’s potential for QA,…
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Building EAI Anti-BS Filter: From Spam Hell to Smart Learning Plugin
How I built a custom WordPress spam filter that learns from every spam comment, accidentally roasted pingbacks, and recovered everything. A deep dive into building…
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Ollama vs GPT4All vs Local LLMs – What Actually Works Offline
Local AI promises freedom from cloud lock-in, but most tools collapse under real use. I tested Ollama, GPT4All, and containerized LLMs to see what actually…
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GPT-5 vs GPT-4: A Bug Report Disguised as a Review
GPT-5 was supposed to outperform GPT-4. But in structured production workflows, it broke instructions, resisted corrections, and wasted time. Here's the failure log.
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