Lovable Prompt Generator
Describe your app idea and get a structured prompt built to Lovable's own prompting guidance, with a distribution section that most generated prompts leave out.
What the generator returns
Every generated prompt uses the same seven sections. The structure is the point: Lovable produces noticeably better first drafts when priority and build order are explicit instead of implied.
- # Context
- What the app is, who it is for, and the one job it has to do. Lovable builds the wrong thing most often when this is vague.
- ## Core Features (Priority Order)
- Numbered, so Lovable builds the load-bearing feature first instead of spreading effort evenly across everything you mentioned.
- ## Visual Style & Design
- Named shadcn/ui components and concrete spacing rules rather than adjectives like clean or modern.
- ## Technical Requirements
- Breakpoints, loading states, validation, and accessibility, stated up front so they are not retrofitted later.
- ## Implementation Strategy
- The build order. This is what stops Lovable from generating a UI it cannot wire up.
- ## Safe-Guard Instructions
- Constraints that survive later edits, so iterating on one screen does not quietly break another.
- ## Growth Features (Required for Distribution)
- The section no other prompt tool writes: the mechanics that make the finished app reachable through the channel you picked.
Pick a growth channel before you build
The optional distribution channel changes the generated prompt, not just the copy around it. Each channel implies different product mechanics, so choosing one up front decides what gets built rather than what gets marketed afterwards.
- Organic SEO / AI Search
- Design your product so it naturally attracts traffic by creating pages that directly answer what users are already searching for and get picked up by Google and AI search engines.
- Paid Search
- Get a prompt that optimizes your product for fast perceived value and clear conversion paths so ad clicks have a fighting chance to pay back.
- Organic Socials
- Shape your product around outputs people actually want to share, not because you ask them to, but because it makes them look smart or helpful.
- Paid Socials
- Structure your product so its value is instantly understandable in a scroll, making it viable to acquire users even when attention is expensive.
- Short-Form Video
- Build your product around moments that can be shown, not explained, so it works naturally in short, visual formats like TikTok or Reels.
- Product-led Growth
- Create a product experience where users reach a meaningful 'aha moment' before they ever have to sign up, pay, or talk to sales.
- Community-led Growth
- Design your product so users benefit from contributing, sharing, or improving it together, causing value to compound over time.
- B2B Sales / Outreach / LinkedIn
- Get a product structure that can be explained in one message and clearly ties features to business outcomes decision-makers care about.
- X (Twitter)
- Give the product a visible artifact worth posting, so building in public produces something to show rather than something to announce.
- Email Marketing
- Build a reason for the product to send something a user actually wants to open, so the list becomes a retention channel rather than a broadcast list.
The reasoning behind this is in Product-Channel Fit: The Missing Piece in Your MVP.
Generated prompt or library prompt?
Use the generator when your idea does not match an existing pattern, or when the target user is specific enough to change which features matter. Use the library when you are building something well-trodden, since a prompt that has already been run and refined beats a fresh one.
Questions
What makes this different from asking ChatGPT for a Lovable prompt?↓
Two things. The output follows a fixed seven-section structure that Lovable parses reliably, and it includes a distribution section tied to a growth channel you choose. A general chatbot writes you a feature list. This writes a build order plus the reason anyone will find the result.
Do I need an account?↓
You can read every prompt in the library without one. Generating a custom prompt requires a free account, which is also how the usage limit is tracked.
Which model writes the prompt?↓
Claude. The system prompt is built from Lovable's own prompting guidance, so the output uses the structure Lovable's builder responds to rather than generic prompt-engineering advice.
What should I put in the app idea field?↓
One or two sentences describing what the app does and for whom. Naming the target user changes the output more than any other field, because it drives which features get priority.
Why does it ask for a distribution channel?↓
Because product-channel fit is a design constraint, not a marketing task. An app built for organic search needs indexable pages; one built for short-form video needs a visible moment worth filming. Picking the channel before you build changes what gets built.