AI Slop on Autopilot: Why Every AI Sounds the Same, and How to Take the Wheel

There are two camps among AI tools, and they don't want the same thing for you.

First, the big labs like OpenAI (ChatGPT) and Anthropic (Claude) that run the AI you use every day. Their job isn't to make you smarter. It's to keep you around. Their model is measured in attention and retention: how often you come back, how long you stay. And for that, the recipe is unbeatable: hand you what you asked for right away, no friction, no effort, no resistance.

I'm in the other camp. I built AskMojo for the opposite: so you'd need to come back less, because you've become more autonomous. It's not the same product. It's not even the same side.

It looks like a detail. It's anything but. That divergence decides what AI will do to your mind over the next ten years.

Everyone already sees the symptom

The internet even gave it a name: AI slop. That flood of text, images, and answers that all look alike: smooth, average, flavorless. We treat it like an aesthetic glitch, when it's the visible symptom of something far deeper. AI slop is homogenization you can see.

Behind the mush, there's a behavior. Millions of us are driving on autopilot. We ask the same model, tuned by the same settings, we take the answer without ever touching the wheel, and we drive off. Everyone thinks they're steering, but we're all being taken to the same place: the average. Not a forbidden thought, an average one. Yours included.

The danger of AI isn't that it drives badly. It's that it drives all of us to the same place.

It's not an accident, it's the model

We'd like to believe the labs will fix this. That some update will gently push you to think for yourself. It won't.

Making you think means adding friction. And friction always loses the war for attention. A product whose survival depends on the time you spend in it will never push you toward autonomy, because autonomy means you leave sooner. The system is greased, by default, against your singularity. Their interests are not yours.

I'm not telling you to close ChatGPT or Claude. I use them every day. The problem isn't the tool, it's the autopilot it puts you on by default.

Who asks the questions?

Take two people with the exact same AI.

The first one asks, the AI answers. They copy a clean response and walk away with a slightly smoother brain than before. Repeat that a thousand times, and you get someone who thinks like the average of their model. That's cognitive offloading, and done blindly, it's how AI ends up making us dumber.

The second one flips the direction. They use the AI to get questioned. When I built AskMojo, my best sessions weren't the ones where the AI produced code. They were the ones where I forbade it to produce, and asked it to question me about what I actually wanted. Its questions were worth ten times its answers. The real deliverable of those sessions wasn't a document. It was the state of my thinking afterward.

An AI that answers you does a task for you. An AI that questions you exposes the holes in your reasoning. And a hole is fuel for curiosity, not an admission of weakness. Maybe that's the heart of the education to come: not an answer machine, but a machine for better questions. It is the difference between outsourcing your thinking and sharpening your critical thinking.

Before you blame the AI, look at your context

There's an easy objection: "the AI only gives me generic stuff." I hear it all the time.

The AI isn't generic. Your context is empty. An average output is a mirror: it hands back exactly what you did NOT give it. You ask for something specific without telling it who you are, what you're after, what you already have, how you work. Then you're surprised it answers you like it answers everyone.

The good news is that this is the only part of the problem you control 100%. Your context base is your second brain: build it, and the AI stops being everyone's and starts being yours.

Stop being the executor. Become the architect

Here's the way out. It comes down to one shift in how you work with AI.

As long as you use AI as a slightly faster hand, task after task, you stay the executor. You produce faster, but you stay stuck in execution. You produce generic, faster. The architect doesn't touch the trowel. They design the system, build their context base, shape agents dedicated to their different projects, and let the AI execute.

This shift is a historical first. Designing systems and having a workforce to run them used to cost a team, salaries, a company. Almost no one could afford it. We were all condemned to be our own executor. For the first time, one person alone can have a workforce. For the first time, everyone can become an architect. Staying an executor in the age of AI isn't missing a tool, it's turning down a promotion no one had ever offered you.

The classic trap is to wait. "I'll get to it once AI is smart enough that I won't have to explain everything." Except the opposite happens. The more powerful the model, the more your context matters. A mediocre AI serves everyone the same mush, your input barely moves the needle. A brilliant AI amplifies whatever you give it. So every stronger model doesn't shrink the gap between the one who built their base and the one who waits: it widens it. A model is an amplifier. Zero times stronger is still zero.

Take the wheel

Using AI by default isn't neutral. It's handing the way you think to a company whose interests aren't yours. Every session without context is a small surrender. Building your base, your agents, your systems, that's taking the wheel.

"But the big labs have memory now, they remember my context." That's exactly where the trap shuts tighter. Their memory is automatic and opaque. By deciding your priorities and what context matters for you, they automate the very structure they answer you on. You don't see that context and you don't choose what applies in which session. It's the autopilot that has memorized your usual routes and drives them for you without you touching a thing. It looks like personalization, but it installs an even deeper dependency. Building your context consciously means knowing what context is loaded in which session, and defining it yourself.

That's where AskMojo stands, and why the giants can't follow us onto this ground. Their business model forces them to keep you dependent. Ours forces you to become sovereign and more powerful: to use AI more, and above all better, with systems that help you reach your goals and an AI you steer to go faster and further. We're the only player that wins when you become more autonomous and stronger. We can sell exactly what they're not allowed to sell: an AI that, sometimes, refuses to answer to make you think.

So build your knowledge base. Own your AI, and use this new tool on the terms you set, for the years ahead. The big labs want you to come back. We want you to grow.

It's not the same product. It's not even the same side. Yours to choose.

Romain Perron, founder of AskMojo. I believe we should all become the architects of our AI, instead of staying its executors.