Pricing & Credits
Why am I burning through Lovable credits so fast?
Quick answer
Credit burn almost always comes from reactive prompting: vague requests followed by chains of fix-it messages, each billing credits. Planning features first, one scoped change per prompt, and pasting exact errors typically cuts consumption dramatically.
Fast credit burn is nearly always a prompting pattern, not a billing problem. Every message that asks Lovable to build, change, or fix something consumes credits, and the expensive pattern is the reactive loop: a vague request ('make the dashboard better'), an unsatisfying result, then five follow-up messages steering and repairing. Each round trip bills credits, so one poorly specified feature can quietly cost ten times what a well-specified one does.
The fixes are mechanical. First, write a mini-spec before you start: pages, features, and data model in a note, so scope does not wander. Second, make one focused change per prompt ('add a password reset flow to the login page' rather than 'improve auth'). Third, when something breaks, paste the exact error text instead of describing it; error messages usually produce a one-shot fix, while 'it is broken' starts a guessing loop.
Two free levers also help. The visual editor handles text, color, spacing, and layout tweaks without spending AI credits, so cosmetic iteration should never go through chat. And periodically asking Lovable to review the existing code before adding features prevents the compounding mess that later costs many credits to untangle.
Builders who adopt these habits report shipping MVPs in the 200 to 500 credit range, where trial-and-error builders spend that on a single stubborn feature. The skill is learnable in an afternoon and pays for itself immediately.
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