What are the best prompts to succeed with a Lovable project?
The best Lovable prompts follow a simple rule: one precise intent per message (100 to 300 words), with business context, explicit architecture and reference to existing code. A vague prompt like "make me a nice site" produces a generic result; a structured prompt with pages, data and technical constraints produces a usable result on the first try.
| Anti-pattern | Effective phrasing | Observed effect |
|---|---|---|
| "Make me a nice modern site" | "Create a homepage with a hero, 3 benefit sections and a CTA to /contact, blue/white palette" | Usable result on the 1st try vs 3-5 iterations to frame a generic output |
| "Redo everything but better" | "Only improve the Hero component: enlarge the title and add a sticky mobile CTA" | No regression on other pages |
| "Add a database for users" | "Add a Supabase profiles table with RLS: each user only reads/writes their own row" | Correct security policies from generation, no corrective audit |
| Error described from memory ("it's buggy") | Exact error message pasted + file involved | Fixed in 1 exchange instead of 4-6 back-and-forths |
| 5 mixed requests in one message | 1 intent per message, validated before the next | Targeted rollback possible via version history |
How to frame the very first prompt of a project?
The first prompt sets the overall architecture: it should describe the business goal, target audience, main pages and desired stack (React/Vite, Supabase if backend). A weak initial framing then forces many costly correction iterations.
A good initial prompt also specifies the editorial tone, supported languages and brand constraints (colours, typography) if they already exist, rather than letting the AI generate a default design to fix later.
Example of a complete, reusable framing prompt
"Create a showcase site for [business name], aimed at [target audience]. Pages: home, services, pricing, about, contact. Tone: professional and direct. Palette: navy blue and white. Pricing page structure: 3 offers with price, feature list and CTA to /contact. Add a sticky header and a footer with legal notices."
How to get a coherent design system instead of scattered pages?
Explicitly ask Lovable to create centralised design tokens (colours, spacing, typography) before generating pages, rather than letting each page define its own inline styles. This avoids visual inconsistencies as iterations pile up.
Referencing an existing component ("reuse the Hero button style for the pricing page CTAs") gives a more coherent result than a new style description in every prompt.
Example design system prompt
"Define a design system in index.css and tailwind.config with 3 primary colours as HSL tokens, a 4-level typographic scale and spacing in multiples of 4px. Apply these tokens to all existing components instead of hard-coded colours."
How to prompt a backend integration without breaking security?
Any request touching Supabase (tables, authentication, roles) should explicitly state the expected RLS policies: who can read, who can write, based on what. A prompt that omits security often produces tables open by default.
For user roles, systematically ask for a dedicated table and a security-definer function rather than a role column directly on the profiles table, to avoid privilege-escalation flaws.
Example secure backend prompt
"Add a Supabase user_roles table with an app_role enum (admin, user, moderator), a security-definer function has_role(user_id, role), and RLS policies on the posts table: public read, write restricted to the author or an admin."
How to prompt effectively to debug an error?
Paste the exact error message (console or build) rather than describing it from memory, and mention the file or component involved if you know it: this drastically reduces the number of back-and-forths needed.
For a visual bug, a screenshot with a precise description ("the button overflows on mobile below 375px") is more effective than a purely textual description.
Example debug prompt
"The following error appears in the console when loading /dashboard: [paste the exact error]. The component involved is src/pages/Dashboard.tsx. Fix it without changing the behaviour of other pages."
How to iterate without breaking what already works?
Work in short cycles: prompt → output → visual review → next prompt. One intent per message limits regression risk and makes it easier to roll back if the result is not satisfactory.
Lovable's version history allows a free rollback to a previous state: do not hesitate to test a direction, evaluate it, then roll back if needed rather than fixing everything in one complex corrective prompt.
Which prompts should be avoided, and why?
Vague requests ("make me a nice modern site") produce a generic result because the AI has no objective success criteria. Global requests ("redo everything but better") risk breaking elements that already worked, for lack of a defined scope.
Mixing several heterogeneous intents in a single message (design + backend + content + SEO) makes the result hard to validate and hard to revert on partial failure: it is better to split into successive prompts validated one by one.
Key data
Related questions
- Can I write prompts in French?
- Yes, Lovable understands French like other major languages; English remains slightly more precise for some technical terms like CSS property names.
- Should I provide screenshots in a prompt?
- Yes, it's very effective to convey a precise visual reference or point at a display bug that's hard to describe in text.
- How do I undo a bad generation?
- Use Lovable's version history to roll back to a previous state in one click, without having to restate the whole context.
- Is a prompt that's too long a problem?
- A prompt over 300 words often mixes several intents; it's better to split it into several prompts validated successively.
- How to prompt for SEO/GEO from the start?
- Specify the title tag, meta description, H1-H2-H3 heading structure and JSON-LD needs directly in the page creation prompt, rather than fixing it afterwards.
- Should each prompt be validated before moving to the next?
- Yes, visually validating each change before moving on avoids accumulating errors that become hard to isolate after several iterations.
Keep exploring the site
Sources & external links
About the author
Simon Berna is president of Axe Capital and founder of Lovable Web Agency. He helps entrepreneurs and SMEs design, ship and scale websites and apps built with Lovable AI.
LinkedIn profileHow we verify: pricing and features of the platforms mentioned come from their official pages, consulted on the update date above and linked at the end of this article. Durations, iteration counts and project costs labelled "observed on our projects" come from engagements delivered by Lovable Web Agency, with their scope stated. We publish no unsourced projection or market average, and we correct a figure as soon as a vendor changes its pricing.
Publisher: Axe Capital, a French SAS registered in Lyon, SIREN 904 636 222, operating the Lovable Web Agency brand.
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