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jarencudilla / editorial-auditor-prompt.md
Created August 19, 2025 10:50
EngineeredAI.net: AI writes fast. The Editorial Auditor makes sure it writes well—clarity, depth, and authority included.

The Editorial Auditor Prompt

AI can write fast—but can it write well?
Enter the Editorial Auditor Prompt: a system to grade, dissect, and rebuild AI-generated drafts.

The Problem

  • AI spits out polished noise.
  • Without structure, writers publish garbage at scale.
  • Readers burn out on shallow content.
@jarencudilla
jarencudilla / ai-burnout-tracking-remote-work.md
Created August 19, 2025 10:48
EngineeredAI.net: Remote work isn’t killing productivity—AI burnout is. Here’s how to track it before it takes you out.

AI Burnout Tracking in Remote Work

Remote workers face a hidden cost: AI-induced burnout.
Tracking isn’t just about productivity—it’s about survival.

Why This Matters

  • AI tools create constant stimulation, leading to fatigue.
  • Remote work removes natural boundaries—stress bleeds into everything.
  • Metrics exist for output, but few for mental load.
@jarencudilla
jarencudilla / llm-optimization-guide.md
Created August 6, 2025 15:13
EngineeredAI.net: Google flagged it. LLMs crawled it. Here's how I made my blog discoverable by GPTBot, Claude, and Perplexity—without SEO hacks.
@jarencudilla
jarencudilla / hybrid-qa-methodology.md
Last active June 26, 2025 03:37
Hybrid QA workflow combining Agile, Shift-Left, and Risk-Based testing.

Hybrid QA Methodology: Agile, Shift-Left, and Risk-Based Testing That Works

Problem:
Most QA workflows are either too bloated with ceremony or too fragmented to catch bugs early. This approach fixes both.

Core Insight:
Blend Agile timing, Shift-Left priorities, and Risk-Based targeting into one unified QA loop—then cut everything else.


@jarencudilla
jarencudilla / test-methodologies-in-qa.md
Created June 26, 2025 01:53
Comparison of QA test methodologies: Waterfall, V-Model, Agile, Risk-Based.
@jarencudilla
jarencudilla / ai-broke-your-flow.md
Last active June 26, 2025 13:24
EngineeredAI.net: When AI makes productivity worse, not better

AI Broke Your Flow — Here’s How to Take It Back

📍 Source: https://engineeredai.net/ai-broke-your-flow/
🧪 Author: Jaren Cudilla | EngineeredAI.net
🛠️ Chaos Optimizer. Builder. Blogger.
📁 Filename: ai-broke-your-flow.md


TLDR

@jarencudilla
jarencudilla / 5-ai-tools-that-save-you-time.md
Last active June 26, 2025 11:56
EngineeredAI.net: AI tools that cut grunt work, not corners

5 AI Tools That Save You Hours Every Day

Problem:
Most AI tools promise efficiency—but end up being more dashboards to manage instead of work to offload.

Core Insight:
You don’t need a hundred clever features. You need five tools that actually reduce friction and free up your decision-making bandwidth.


@jarencudilla
jarencudilla / ai-seo-generated-content-warning.md
Last active June 26, 2025 13:54
EngineeredAI.net: When keyword-stuffed AI posts start tanking your traffic, here's why.

The AI SEO Content Trap – Clarity Over Clickbait

📍 Source: https://engineeredai.net/ai-seo-generated-content-warning/
🧪 Author: Jaren Cudilla | EngineeredAI.net
🛠️ Writes content designed for humans first, algorithms second.
📁 Filename: ai-seo-generated-content-warning.md


TLDR

@jarencudilla
jarencudilla / ai-vs-traditional-coding.md
Last active June 26, 2025 12:35
EngineeredAI.net summary – Which coding method actually works in 2025? AI speed vs human precision.

AI vs Traditional Coding – Which Approach Is Best for You in 2025

Problem:
AI can code faster than most people can type—but it breaks the moment you need nuance, architecture, or clarity.

Core Insight:
AI isn’t replacing developers. It’s replacing boilerplate. Real devs are still needed for logic, edge cases, and systems that hold together after sprint demos.


@jarencudilla
jarencudilla / prompt-engineering-questions.md
Last active June 26, 2025 06:07
EngineeredAI.net summary – How to frame better prompts for accurate, useful AI outputs

Prompt Engineering: Asking Better Questions

Problem:
Most people treat prompt engineering like magic spells. Then blame the model when the output sucks.

Core Insight:
You don’t need clever phrasing—you need clarity. Better prompts come from understanding what the model needs, not what you want.