Prompt-to-app builder

exployt vs Lovable

Lovable turns a plain-English prompt into a full-stack web app you iterate on in the browser. It is a cloud builder aimed at getting a new app live fast.

100+AI agents working in parallel
100,000+lines of code in a single day, solo
100%of your code stays on your machine
Up to 70%lower AI costs
Hundredsof AI models, incl. free local ones

Different goals

exployt

Empower one person to build and maintain serious, production-grade software with a whole team of AI agents — on their own machine.

Lovable

Help non-coders turn a prompt into a working web app as fast as possible.

What you can expect with exployt

  • Ship real, maintainable software you own — not just a quick greenfield web app.
  • Keep 100% of your code and history on your own machine.
  • Run many AI providers side by side (including free local models) and cut AI costs by up to 70%.
  • Improve and debug the projects you already have, not only new apps from a prompt.

exployt vs Lovable — side by side

What matters exployt Lovable
Built for One person shipping serious software Non-coders building a quick web app
What you can build Production-grade, complex software Fast greenfield web-app MVPs
Where your code lives On your machine (local DB; only metadata syncs) Lovable's cloud (exportable to GitHub)
AI providers Claude, GPT, Gemini, xAI + hundreds via OpenRouter + free local (Ollama) Anthropic Claude only
Free local / offline models Yes (Ollama) No
AI agents in parallel 100+ agents in parallel across your projects One single agent
AI managers running the team Yes — AI managers (CPO/CTO/PM) run the team No
Works on your existing codebase Yes — improves and debugs your real, existing projects Mainly builds new apps
Real debugging Real breakpoints, live variables, call stack, step-through AI auto-fix only; no breakpoints
Full transparency and control Every change, decision and agent message recorded locally and searchable Limited to the project view
AI cost control Up to 70% lower AI costs; bring your own keys or run free local models Credit-based; costs can escalate
Pricing Free for individuals; affordable paid plans Free tier; Pro from ~$25/mo (credits)
Security certifications Not yet certified (ISO/SOC 2 in preparation) ISO 27001 / SOC 2-aligned
Runs on Windows desktop (macOS in progress) + mobile monitoring Any browser

Why exployt wins

  • Builds and maintains serious software on your real projects — and keeps the code on your machine.
  • Many AI providers side by side (including free local models), with a team of agents that manage each other.
  • Real breakpoint debugging, persistent searchable memory, and full, reviewable transparency over every change.

Where Lovable is strong

  • One of the fastest ways to turn an idea into a live web app.
  • Very beginner-friendly, with hosting and a backend included.
  • Publishes an ISO 27001 / SOC 2-aligned posture and a GDPR DPA.

The verdict

Pick Lovable to spin up a brand-new web app fast. Pick exployt when you want to build and maintain real, production-grade software, keep your code on your own machine, use many AI providers (including free local models), and direct a whole team of agents.

Frequently asked questions

Is exployt a good Lovable alternative?

Yes, for a bigger job. Lovable is best at generating a new web app from a prompt; exployt lets one person build and maintain production-grade software with a team of AI agents, keeps your code local, and adds real debugging and cost control.

Does Lovable keep my source code on my machine?

By default Lovable hosts your project in its cloud; you can export the code to GitHub. With exployt your code and history stay in a local database on your machine and only metadata syncs.

Can I choose different AI models with Lovable?

Lovable's builder runs on Anthropic Claude. exployt runs Claude, GPT, Gemini, xAI, hundreds of models via OpenRouter and free local models via Ollama — side by side.

Ready to lead your AI army?

exployt exists to make one person as powerful as a whole company: run many well-organized AI agents in parallel to build, test and debug production-grade software — all on your own machine, with your choice of AI models.