Proto Typing Too (Page 2)

Latest

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.

Smiling man reinforcing the idea that Communication is the key to Adapting to the Age of AI

Beyond the Code: What It Really Takes to Thrive as a Developer in the Age of AI

AI isn’t replacing great developers — it’s changing what makes them great. This post looks at the human skills, technical judgment, and architectural habits that matter most in AI-augmented software teams.

Man in home office affected by Maybe-Nary logic: Maybe, might do so, possibly, ask again, perhaps, not sure, hypothetically

IF: The World Switched to "Maybe-nary" Logic

What if computers stopped giving clear answers and started running on “maybe” instead? A funny April Fool’s Day thought experiment about smart devices, uncertain logic, and the most relaxing productivity disaster in history.

Image shows a screen with text, talking to a robot with a Slack emblem, discussing what the team did over the last week.

Building an AI-Powered Slack Bot for Team Insights

Stop digging through dashboards and threads. Build a Slack bot that understands natural language and finds answers across your team’s data.

Split image contrasting a HAL-like red camera eye labeled ‘HAL had intentions’ with a blue data network labeled ‘Modern AI has outputs,’ illustrating agency vs prediction in AI.

Why AI Isn’t HAL 9000

We often imagine AI as a decision-making entity like the machines of science fiction. In reality, modern AI predicts rather than decides. Understanding that difference reveals the real challenge: not machine rebellion, but misplaced human trust.

Illustration of interconnected nodes and data patterns representing artificial intelligence as a mechanical process, not a thinking mind.

AI Isn’t Magic (And It Definitely Isn’t the Devil)

Artificial intelligence often feels mysterious — even unsettling. But AI isn’t magic, and it certainly isn’t supernatural. This article explains what large language models actually are, why they feel human, and where the real risks and responsibilities lie.

Human reviewing AI recommendations before approving a decision.

The Job AI Should Not Have

Why responsible AI systems support human decisions instead of replacing them — and why that distinction matters.

Image of a man connected to multiple screens, all different, as if he is controlling them.

The Infinite Intern Paradox: Why the Future of Engineering is Management

AI gives developers unlimited help — but not unlimited judgment. Here’s why modern engineering is shifting from writing code to managing intelligence.

Person overwhelmed by incorrect chart data

To Automate or Not to Automate – A Simple Task?

I asked AI to build my charts. They looked perfect — until the numbers didn’t match. Here’s what actually went wrong.

Image of a screen, with the "Oh AI, How do I love thee" poem and an AI generated blue rose

Modern Developer's Valentine: Why I’m Finally "Committing" to AI

By Eugenio Pello Our Project Manager recently wrote a poem about their love for AI (something about debugging and coffee—it was quite moving). As a Full Stack Engineer, my relationship with AI is a little... more complicated. (Click below to see the poem.) ❤️ Oh AI, how do I love

Image shows 2 Protovate aliens. One in top hat conducting, one with jacks in its head. The one with the jacks is creating an interconnected network.

How a Designer Writes Code

By Daria Losminska I’m a designer at Protovate. My work goes far beyond visuals — it’s about systems, structure, logic, and how users interact with a product. At Protovate, a designer is not “someone who makes things look nice”. A designer is someone who thinks holistically — from idea to

Showing the Pros of Using AI in Everyday Work: Analyzing logs, checking Syntax, creating diagrams

Using AI in Everyday Work: Experience and Insights

By Leonid Kuznetsov Introduction Artificial intelligence (AI), particularly ChatGPT, is increasingly being used in everyday work to improve efficiency and speed. However, like any technology, its use comes with pros, cons, and risks that should be kept in mind.Pros and Cons of Using AI ChatGPT, like any system, can

The Everyday Efficiency of AI

By Kat Powell I'm 20 years old, a junior software developer, and I can't imagine doing my job without AI anymore. For me, AI isn’t a shortcut; it’s support. It takes care of the repetitive tasks, allowing me to focus more on building and

See all