Two generation methods, two different guarantees
Lovable generates code directly: you describe what you want, and the model produces React, TypeScript and Supabase tables, which you adjust by continuing the conversation. It is powerful and flexible: the AI writes the interface as much as the logic. The trade-off is that of any code written directly by a model: the result can vary from one generation to the next, and some parts stabilise through successive iterations.
Blueprint Maker deliberately separates two roles. The AI first writes a business specification: entities, relations, statuses, indicators, which you validate. Then deterministic builders, code that we maintain, not the model, write the Prisma schema, the API, the CRUD screens and the dashboard. The sensitive technical properties (database relations, component props, queries) are correct by construction, never guessed by the LLM.
The difference is not "with or without AI": it is where the AI steps in. With Lovable, it writes the final code. With Blueprint Maker, it writes the understanding of the business, and a deterministic mechanism translates that understanding into standard code. That is what makes the result reproducible and verifiable.
Price predictability: the cost known before you generate
Lovable is billed in credits consumed per action: every message that builds or edits the app spends a number of credits that depends on the complexity of the request. The model is transparent once you are underway, but it makes a project's budget hard to estimate in advance: an app with authentication, a few rounds of fixes and an integration can consume far more than expected before the first week is out.
Blueprint Maker publishes its credit weightings and shows the estimated cost before each generation. You know what a generation will cost before launching it, not after. The plans are simple and have no per-seat pricing: free Discovery, Pro at €25/month, Max at €149/month. There is no user meter on the produced application, and no usage billing that climbs with every fix.
This is not a verdict on value: iterating by chat has real merit. It is a difference in predictability. Where Lovable's cost follows the number and complexity of your exchanges, Blueprint Maker's cost is announced upfront, for a defined deliverable.
Code ownership and where the application lives
On this point, the two tools are more alike than people assume: Lovable produces real, exportable React/TypeScript code (Vite, Tailwind, a Supabase backend on PostgreSQL), with two-way GitHub synchronisation. You can clone the repository and continue elsewhere. We won't pretend otherwise: Lovable makes the code accessible.
The nuance is what the application is coupled to. A Lovable application is designed around the Supabase ecosystem and the round-trip with the platform; exporting it cleanly and running it outside means taking on that architecture. A Blueprint Maker application is a standard Next.js + Prisma project, with its relational database included: ZIP export, GitHub push, and free hosting, including on the provided dedicated URL or on your own infrastructure.
In other words, the question is not "do you own your code?", in both cases, yes, but "on which stack and which hosting?". Blueprint Maker aims for code and a database you host wherever you want, with no dependence on a synchronisation platform.
A finished business app, not a project to shape
Lovable is an open-ended tool: you build sites, landing pages, all kinds of web applications, and you sculpt the result through conversation. That freedom is its strength for prototyping and bespoke interface work.
Blueprint Maker specialises in the management application. From a single description, it produces a coherent, complete whole: a relational database, an API, create/read/update/delete screens, a KPI dashboard, and realistic demo data so you judge the tool on filled rather than empty screens. You get a usable application right away, not a blank canvas to fill.
For a clear business need, tracking stock, cases, clients, work sites, that specialisation shortens the path: fewer iterations to reach a structured application, because the structure is part of what gets generated.
Runtime validation and security responsibility
Blueprint Maker validates every application with an automated runtime test (called "K-15"): the generated app is actually built, started and browsed before being considered good. The share of applications that pass this test is published as a Health Score. It is the extension of "correct by construction": what is deterministic is also tested at runtime.
Security deserves a factual note. Code generated directly by AI has been the subject of a public concern: in 2025, a vulnerability (CVE-2025-48757) affected more than 170 Lovable applications whose Supabase row-level security (RLS) rules were misconfigured or missing, exposing data. Lovable and Supabase have since changed their default settings. We mention this without dramatising: it is a reminder that code written directly by a model calls for careful security review. Blueprint Maker's deterministic approach is precisely aimed at making these properties systematic rather than dependent on a given generation.
Blueprint Maker and Lovable side by side
| Blueprint Maker | Lovable | |
|---|---|---|
| Role of the AI | The AI writes the business spec; deterministic builders write the code (not hallucinated) | The AI writes the React/Supabase code directly, shaped through chat |
| Price predictability | Credit weightings published; cost shown before each generation | Credits per action, variable by complexity: cost hard to anticipate |
| Pricing | €0 / €25 / €149 per month, no per-seat pricing | Subscription plans, credit consumption, no seats |
| Nature of the deliverable | Finished business app: database, API, CRUD, dashboard, demo data | Open-ended project (web app, site, prototype) shaped by iteration |
| Stack and ownership | Standard Next.js + Prisma code, database included: ZIP export, GitHub push | Exportable React/TypeScript code, Supabase backend, GitHub sync |
| Hosting | Free, including FR/EU or on the provided dedicated URL | Supabase / platform ecosystem oriented, export possible |
| Validation | Automated runtime test (K-15) + public Health Score | Checked by the user across iterations |
When to choose Lovable
- You want to quickly prototype a web application or a bespoke interface, and iterate the look through conversation.
- Your need goes beyond a management app: a site, a landing page, a web experience with a very specific design.
- You are comfortable with the Supabase ecosystem and want to keep it as your data and authentication foundation.
- You like sculpting the result through back-and-forth with the AI rather than starting from an imposed structure.
When to choose Blueprint Maker
- You want a complete business application in minutes: database, API, screens, dashboard, demo data.
- You want to know the cost before generating: published credit weightings, amount shown in advance.
- You want standard Next.js + Prisma code and an included database, hostable wherever you want, FR/EU included.
- You prefer technical properties correct by construction and tested at runtime over code you must review afterwards.
Frequently asked questions: Blueprint Maker vs Lovable
What is the difference between Lovable and Blueprint Maker?
Both generate code with AI, but differently. Lovable writes the React code wired to Supabase directly, shaped through a conversation. Blueprint Maker has the AI write a business specification, then deterministic builders translate that specification into standard Next.js + Prisma code, with a database, API, CRUD screens, dashboard and demo data. Blueprint Maker aims for a finished business app and a cost known in advance; Lovable, an open-ended tool you shape through iterations.
Can I get my code back with either one?
Yes in both cases. Lovable produces real, exportable React/TypeScript code, with GitHub synchronisation. Blueprint Maker produces standard Next.js + Prisma, with the database included, exportable as a ZIP or via GitHub push. The difference is less about ownership than about stack and hosting: Blueprint Maker aims for a project you host freely, including in the EU, with no dependence on a synchronisation platform.
Which one is cheaper?
It depends on usage, and above all on predictability. Lovable's cost follows the credits consumed at each action, variable by complexity and number of exchanges: hard to estimate before you start. Blueprint Maker publishes its credit weightings and shows the cost before each generation, with plans at €0, €25 and €149 per month and no per-seat pricing. For a predictable budget on a defined deliverable, that is Blueprint Maker's advantage; for open-ended exploration in small doses, Lovable's per-action billing can be enough.
Is the generated code secure?
Any code written directly by a model needs a security review: in 2025, a public vulnerability (CVE-2025-48757) affected Lovable applications whose Supabase RLS rules were misconfigured; the default settings have changed since. Blueprint Maker makes the technical properties deterministic (relations, queries, components) and validates every application with an automated runtime test before considering it good, which aims to make those guarantees systematic rather than dependent on a given generation. A review is still always recommended before a sensitive production deployment.
Can Blueprint Maker do everything Lovable does?
No, and that is by design: Lovable is an open-ended tool that builds sites, landing pages and all sorts of web applications, with great interface freedom. Blueprint Maker specialises in the management application: for that precise need, it delivers a structured, complete application faster. For a marketing site or a highly bespoke web experience, Lovable is better placed.