There's a familiar question echoing through tech right now:
“Would you like some AI with that?”
It shows up everywhere: Website builders, note-taking apps, CRMs, design tools; even products that worked perfectly fine last year now feel incomplete without a glowing “AI-powered” badge somewhere in the UI.
AI, it seems, has become the new fries.
At Pixlw, we're a small, focused team building web apps. We don't have a marketing department or a budget. So we've been forced to ask a harder question than most:
To what end?
Is AI a genuine ingredient that makes software better, or just an obligatory side dish that ships whether users want it or not?
How AI Became the Default Side
Fries aren’t bad. The problem is when they’re automatic.
You order a burger, and fries just come with it. You didn’t ask. You weren’t consulted. They’re simply assumed. Over time, the fries stop being a value-add and start being invisible, until you realize you’re paying for them whether you eat them or not.
That’s where AI is heading.
In 2025, adding AI to a product often feels less like a design decision and more like table stakes. Investors expect it. Customers ask about it in demos. Competitors advertise it loudly. So teams add AI “somewhere”:
- An auto-summary feature no one trusts
- A chatbot that answers worse than the docs
- A content generator that produces generic filler
- An “assistant” that interrupts more than it helps
The result? AI is present, but rarely purposeful.
The Real Problem is Intent
Let’s be clear: AI is not the enemy. We actively use AI in our own workflows. We prototype faster, debug quicker, and explore ideas we wouldn’t have had time for otherwise.
The issue isn’t whether to use AI.
The issue is why.
Too much AI today exists to satisfy one of three non-user goals:
- Marketing differentiation (“AI-powered” converts better)
- Pricing justification (new tier, higher ARPU)
- Fear of missing out (everyone else is doing it)
None of those are inherently user-centered.
When AI is driven by external pressure rather than internal necessity, it tends to get bolted on after the product is already designed. That’s when it feels like fries dumped onto the plate regardless of whether they complement the meal.
When AI Feels Like Fries (And That’s a Problem)
From a solo dev or small-team perspective, there are clear warning signs that AI is being added for the wrong reasons:
- It Doesn’t Remove Friction: If a user still has to think harder, verify more, or correct outputs constantly, AI isn’t helping and instead adding cognitive load.
- It Replaces Clarity with Guesswork: Clear buttons, explicit workflows, and deterministic behavior get swapped for “just ask the AI.” That sounds friendly until users don’t know what to ask or how the system works.
- It Solves Problems Users Didn’t Have: Auto-generating text for users who preferred writing. Predicting actions that were already one click away. Summarizing content that was already short.
- It Obscures Responsibility: When something goes wrong, who’s accountable? The system? The model? The prompt? AI can become a convenient shield for bad UX decisions.
In these cases, AI is basically garnish. And garnish shouldn’t cost users trust, performance, or money.
The Counterpoint: Fries Exist Because People Like Them
Here’s the uncomfortable truth: fries are popular for a reason.
Likewise, AI isn’t everywhere just because of hype. It’s everywhere because, when used well, it’s genuinely powerful.
AI becomes transformative when it does at least one of the following:
- Compresses time (hours → minutes)
- Expands capability (novices do expert-level tasks)
- Reduces cost (automation replaces manual effort)
- Changes the interface itself (natural language, agents, workflows)
The problem is that we’re still early. We’re in the phase where everyone is experimenting, few patterns are mature, and misuse is common.
The Endgame: Invisible, Not Impressive
If AI succeeds long-term, it won’t feel like fries anymore. It won’t be labeled.
It will quietly:
- Autofill the right defaults
- Catch errors before users notice them
- Surface insights exactly when needed
- Handle boring work without ceremony
The best AI won’t say “I’m AI.”
It will just feel like good software.
And that’s an important lens for solo devs and small teams: you don’t need loud AI—you need useful AI.
Pixlw’s Take: AI Is an Ingredient, Not a Combo Deal
At Pixlw, we think about AI the same way we think about any other tool:
- Does it reduce complexity or add to it?
- Does it make the product more honest or more opaque?
- Does it empower the user—or replace their agency?
If AI can’t justify its presence clearly, it doesn’t belong in the product yet.
That restraint is harder than it sounds. Saying “no” to AI features can feel risky when everyone else is saying “yes.” But small teams have an advantage: we can be deliberate. We don’t have to chase trends—we can wait for signal.
So… To What End?
If AI is the new fries, the real question isn’t whether to serve it.
It’s
- Who asked for it?
- What problem does it solve?
- And what happens if we take it away?
Because the future of good web apps isn’t AI everywhere.
It’s AI exactly where it matters.
And when that happens, no one will ask for fries anymore.
They’ll just enjoy the meal. —
Pixlw builds focused web apps for people who value clarity over clutter.