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LovableBuilding Apps Without Code

Lovable Prompts for Building Apps Without Code

Lovable builds full apps from a chat: you describe what you want and it generates a working React/TypeScript frontend, wires up Supabase for data and auth, and hosts it. Because it produces a real app—not a toy—the quality tracks the quality of your brief. Vague prompts get generic CRUD; a tight, screen-by-screen spec gets something close to shippable. These prompts show how to brief Lovable like a product manager, not a wish.

Last updated · By the Prompt Orange team

Prompt examples you can copy & use

Scope the whole app first

Before

build me a CRM

Too vague—AI has to guess what you want

After

Build a lightweight CRM for a freelance designer. Core entities: Contacts (name, company, email, status) and Deals (title, contact, value, stage). Screens: a contacts list with search, a deal pipeline as a kanban board, and a simple dashboard with total pipeline value. Use Supabase for storage and auth. Start with the data model and the contacts list only—we'll add the rest after.

Specific, clear, ready to use

Iterate one screen at a time

Before

make it better

Too vague—AI has to guess what you want

After

On the deal pipeline screen only: add drag-and-drop between stages, show the deal value on each card, and a total at the top of each column. Don't change the contacts screen or the data model. Show me the result before moving on.

Specific, clear, ready to use

Wire up real data and auth

Before

add a login

Too vague—AI has to guess what you want

After

Add Supabase email auth so each user only sees their own contacts and deals. Add a user_id column to both tables, set row-level security so users can only read and write their own rows, and gate all screens behind login. Confirm the RLS policies with me before applying them.

Specific, clear, ready to use

Fix a specific bug

Before

it's broken

Too vague—AI has to guess what you want

After

When I add a contact, it appears twice in the list until I refresh. Diagnose the cause (likely an optimistic-update plus refetch race), explain it in one sentence, and fix only that. Don't refactor the rest of the screen.

Specific, clear, ready to use

Tips for using Lovable for building apps without code

Brief it like a product spec: entities, screens, and what each screen does—not just 'build an app'

Build one screen or feature per prompt; iterative beats one giant prompt

Define your data model early so later features have something consistent to build on

Review the Supabase row-level-security policies yourself before trusting them with user data

Lovable produces React/TypeScript plus Supabase—lean into that stack rather than fighting it

Frequently asked questions

What's the best way to prompt Lovable for building apps without code?

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Set a clear role for Lovable ("you are a senior copywriter / engineer / analyst…"), describe the situation in two or three sentences, then list the constraints — length, tone, format, things to avoid. The example prompts above follow this pattern exactly.

Why does Lovable produce different output every time?

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Lovable samples from a probability distribution, so identical prompts can produce different results. Reduce variance by being more specific: name the audience, the format, and at least one example of what "good" looks like. The more constrained the prompt, the more consistent the output.

Do I need a paid plan for Lovable?

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The free tier of Lovable is enough to test these prompts. Paid plans help with longer context windows and faster response times, but the prompt structure itself is identical on free and paid plans.

Can I use these prompts on Claude or Gemini instead?

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Yes — these prompt structures port cleanly across modern LLMs. Claude tends to follow long prompts more faithfully; Gemini handles browse-and-cite tasks well. The structure shown here works on all of them.

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