The idea of AI app builders like Lovable.dev is pretty wild, you type a simple prompt and it spits out a full-stack application in minutes. It’s the kind of tech that makes you stop what you’re doing and pay attention. Lovable, especially, has been getting a lot of buzz with its claim to build apps 20 times faster than a human developer. It sounds amazing, but also… a little too good to be true?
That’s what I thought, too. So, this Lovable review is my attempt to cut through the noise. I’ve gone through tons of user feedback and spent time with the tool to figure out what it does well, where it stumbles, and who it’s actually for.
A Lovable review: What is Lovable?
At its heart, Lovable is an AI that builds web apps. You can give it instructions in plain English, hand it a Figma design, or even show it a screenshot, and it will generate a functional app you can click around in almost immediately.
It’s aimed at a pretty broad audience, from founders who don’t code and want to build a prototype, to designers who want to see their mockups come to life, to developers trying to slap together a minimum viable product (MVP) without the usual grind.
Behind the scenes, it uses a modern tech stack (React and Tailwind CSS for the front end) and works directly with Supabase for the database and back end. It also connects to your GitHub account, so you’re not locked out of your own code.
In a nutshell, its main features are:
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Generates code from plain English prompts
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A visual editor for making small UI changes
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One-click deployment to get your app live
A hands-on Lovable review
While seeing Lovable spin up an app for the first time feels a bit like magic, the picture gets more complicated once you move past simple projects. Let’s get into the good and the not-so-good.
Where Lovable excels
Lovable is ridiculously fast for getting the basic structure of an app up and running. If you need a simple landing page, a basic blog, or a straightforward app to manage data (what developers call a CRUD app), it’s fantastic. It’s perfect for testing an idea without sinking a ton of time and money into it. You can literally go from a random thought to a shareable link in a shockingly short amount of time.
The visual editor is another great touch. It lets you make small, Figma-like tweaks to the design without having to write a whole new prompt. This is a lifesaver because you don’t have to waste your precious credits on minor changes like adjusting button colors or spacing.
Pro Tip: Your prompts make all the difference. You have to be specific. As one user on Reddit noted, "you’ve to be good at prompt engineering plus you need to know what you’re doing." Don’t just say, "build a to-do list." Instead, describe the layout you want, the specific features it should have, and how a user would interact with it.
Where Lovable falls short
And here’s where the initial excitement can start to wear off. Once you try to build something more complex, the cracks begin to show.
Handling complexity and bugs
Many users have found that as an app gets bigger, Lovable starts to get confused. It might introduce new bugs while trying to fix old ones, forget what you asked for previously, or just get stuck in a loop where it’s not making any progress. One user on Trustpilot said, "I spent most of my credits trying to fix things." Another shared a similar story, explaining that after a good start, "every time I get it to fix one bug, it creates more bugs in other areas."
This "build it and see what breaks" method is a known issue with generative AI when there are no safety checks. For critical business functions like customer support, you can’t just cross your fingers and hope it works on live customers. That’s why a platform like eesel AI has a built-in simulation mode. It lets you test your AI agent on thousands of your company’s past support tickets, so you can see exactly how it will perform before it ever talks to a real person. This lets you launch with confidence, not anxiety.
The credit system and true cost
Lovable uses a credit system where every message you send to the AI costs you. This can get expensive, and fast. If you’re stuck trying to fix a stubborn bug or it takes multiple tries to get a feature right, you can burn through a month’s worth of credits in a few days. It’s a common complaint from users, with some feeling that the AI "wastes valuable time and CREDITS, probably on purpose, to make you spend more."
And that’s not the whole story. The monthly subscription fee doesn’t cover everything. As your app grows, you’ll probably need to upgrade to a paid Supabase plan or plug in other paid tools, which all add to your monthly bill.
Unpredictable costs are a nightmare for any business. We think pricing should be straightforward. That’s why eesel AI uses a clear, predictable pricing model based on features, not on how many tickets your AI resolves. Your bill stays the same even if you have a busy month, so you always know what to expect.
Is Lovable ready for production-grade applications?
Building a neat prototype is one thing, but running a real, scalable application that your business relies on is a whole different beast. Before you go all-in on a Lovable-built app, there are some big-picture things to think about.
The "rip and replace" problem
Lovable is built to create new things from a blank canvas. That’s great if you’re starting from zero. But what about the millions of businesses that already have tools and systems they depend on?
Most companies don’t need another new, isolated app. They need to make their current workflows smarter. Using a tool like Lovable would mean a huge, painful migration away from the software your team already knows and uses. For most, that’s just not practical.
This is where a different philosophy on AI comes in handy. Instead of making you start over, eesel AI plugs directly into the tools you already use, like Zendesk, Freshdesk, Slack, and Confluence. It works as an intelligent assistant on top of your existing helpdesk and knowledge bases. You can get powerful automation up and running in minutes, without forcing your team to change how they work.
A review of Lovable's lovable or lackluster features.
The challenge of fragmented knowledge
An app is only as smart as the information it can access. If you build an app with Lovable, it only knows about its own code and database. To connect it to other knowledge sources, like your internal wiki, your Google Docs, or your past customer support tickets, you have to build those connections yourself.
A truly helpful AI needs to understand your whole business. eesel AI is designed to do this from day one. It connects to over 100 sources out of the box, pulling information from your help center, past tickets, Google Docs, Confluence, and even your Shopify product catalog. This gives its AI a complete view of your business, so it can give accurate and helpful answers. It even learns your company’s tone of voice from past support conversations to make sure it always sounds on-brand.
A final summary of our Lovable review
So, what’s my final take? Lovable is a seriously impressive tool for what it does. For rapid prototyping, building an MVP, or just bringing a simple idea to life, its speed is incredible. It’s a great way to see if an idea has legs without a huge upfront investment.
But when you start thinking about building a complex, reliable application to run your business on, its weaknesses become hard to ignore. The struggles with debugging, the unpredictable costs, and the fact that it forces you to start from scratch make it a risky bet for established companies trying to improve their operations.
| Feature | Lovable.dev | eesel AI |
|---|---|---|
| Primary Use Case | Building new apps from scratch (prototypes, MVPs) | Improving existing workflows (CX, ITSM) |
| Setup Time | Hours to Days | Minutes |
| Integration | Requires custom code for external knowledge | 100+ one-click integrations |
| Testing & Safety | Live debugging (can be risky and costly) | Risk-free simulation on past data |
| Pricing Model | Per-message credits (unpredictable) | Predictable tiered plans (no per-resolution fees) |
| Best For | Startups, hackathons, validating new ideas | Established businesses wanting to automate support |
Getting started with a smarter AI approach
Lovable is an excellent choice for a specific job: getting a brand new idea off the ground quickly. But if your goal is to make your existing business run better, you need a tool designed for integration, not replacement.
Instead of fighting with buggy code, why not empower your team with AI that works with them? With eesel AI, you can launch a secure and context-aware AI support agent that fits right into your current setup.
Try eesel AI for free and see how fast you can start automating your support.
Frequently asked questions
Yes, you can generate a functional app without writing code, making it perfect for prototypes and MVPs. However, for fixing complex bugs or adding highly custom features, you will likely need some development knowledge to edit the code directly.
The main risks are unpredictable costs from the credit system and the AI’s difficulty with complex bug-fixing. As your app grows, the AI can get confused and introduce new issues, making it unreliable for a mission-critical business application.
Absolutely. Lovable connects to your GitHub account and commits the code there, giving you full ownership. You are free to download, modify, and host the code anywhere you want, so you are not locked into their platform.
Costs are highly variable and unpredictable. A simple app with few revisions may be inexpensive, but if you run into stubborn bugs that require many prompts to fix, you can burn through your monthly credits in just a few days.
Lovable is an excellent and fast tool for validating an idea by building a quick MVP. However, you should plan to transition to a human development team for scaling your app into a complex, production-ready product.
