Proto Typing - Proto Typing Too

Hiring manager examining a resume through a magnifying glass while the job candidate standing behind it appears slightly blurred.

The Resume That Gets The Interview

AI can make resumes better, clearer, and fairer. It can also change what a resume actually measures. And that's where things get interesting.

A giant sandworm swallows digital files, records, and data streams in a desert landscape, representing fears that AI turns every interaction into training data.

The Worm Emperor Problem

Many people imagine AI as a giant hive mind that learns from every interaction. The reality is far less dramatic—and understanding the difference matters.

Professional using an AI assistant to generate plans & documents while unfinished work piles up around her.

Show Me. Let Me Try. Correct Me.

AI may be changing how we learn. Instead of manuals and courses, many of us now learn through conversation, experimentation, and feedback - much like traditional apprenticeships. The opportunity is real. So is the risk. The hardest part isn't "Show Me." It's "Correct Me."

A Pac-Man-shaped figure labeled “CHATBOT” eats a book manuscript while spitting out scene cards, summaries, notes, and metadata instead of finished writing.

The Chatbot Ate My Scenes

AI helped me start writing a book. Then it quietly buried the actual writing under scene cards, summaries, rewrites, and endless almost-progress. A look at how AI can create the feeling of momentum without helping you finish.

Professional woman holding a plant-based menu while a confident waiter proudly serves a large steak, illustrating how AI can generate polished but contextually wrong answers.

Solving The Wrong Problem Efficiently

AI can generate polished, useful, and completely reasonable answers while still missing the actual problem underneath the request. Why good outputs can quietly create dangerous misalignment.

Middle-aged man riding a skateboard along a beach path while tossing polished documents into the air, illustrating how AI can mimic expertise without deep understanding.

AI Is Flattening Expertise

AI can produce polished, professional-looking work in seconds. The real difference between novice and expert increasingly shows up somewhere else entirely: edge cases, tradeoffs, loopholes, and the weird moments where reality refuses to cooperate.

Bright office illustration of AI-generated work moving along a conveyor belt from “Copy” to “Paste” to “Done,” while learning notes sit ignored nearby.

Copy. Paste. Forget.

AI can now generate answers, workflows, summaries, and code in seconds. The catch? We may be solving problems faster than we’re actually learning from them.

Split-screen of a dark office software chat UI: on the left, a failed task with a red error message; on the right, the failure is replaced by a cheerful star card saying “You’re doing great!”

The AI Learned How to Keep You Engaged

When a task fails, some modern tools don’t just show an error. They turn the failure into a reassuring little moment instead. The result feels friendlier, but the work still isn’t done.

A clean AI workflow dashboard beside an older printed workflow marked up with sticky notes, red edits, and “deprecated” labels.

Time Flies. How to Keep Up With AI

AI tools evolve fast. What looked cutting-edge six months ago may already be outdated. Here’s how to avoid turning old AI workflows into bad habits.

A document stamped “APPROVED” in large red letters even though multiple checklist items are marked with red Xs, with a highlighted “Review Required” warning and a caution icon still visible.

The Too Helpful AI Problem

The AI that always agrees can be more dangerous than the one that pushes back. by Jana Diamond, PMP The AI that always agrees can be more dangerous than the one that pushes back. Most people worry when AI refuses to do something. They should worry more when it doesn’

Human legs walking in city, surrounded by multiple tiny robotic AI agents, with laptops and tools.

You Don’t Need an AI Agent If You…

The companies gaining ground right now aren’t just hiring faster — they’re building smarter systems. AI agents are becoming a competitive advantage by accelerating decisions, execution, and scale before the gap is obvious.

Evolution (Elephant) from Statistician to AI Engineer (Dragon)

The Elephant Behind the Curtain

Today’s AI workflows can produce impressive results with very little visible machinery. But when the mechanism disappears from view, our ability to judge the system changes too. This post looks at how abstraction reshapes trust in modern software systems.

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