Learn Lovable AI
Lovable will build almost anything you describe. The difference between a demo and something people use is what the prompt specifies: priority, build order, the states nobody asks for, and how anyone is meant to find the result.

Three of the library's prompts have been run in Lovable and measured, with screenshots and credits on the guides below. These guides cover the rest, in the order it matters. If you would rather start from a working prompt, the Lovable prompts library has 151 of them across 11 categories.
Prompting Lovable
Structure, patterns and the mistakes that cost the most rebuild time.
How to Write Prompts for Lovable AI: The Prompting Guide
The structure Lovable responds to, its cost model from its own docs, a library prompt annotated line by line, and three prompts we pasted in and measured.
Lovable Prompt Examples: 3 Library Prompts and What They Built
Three library prompts annotated line by line, and what came back when we pasted them in: screenshots, the questions Lovable asked, the credits each run cost.
Advanced Lovable Prompting: Skills, Goals and Prompt Chains
Skills, goal runs, Plan and Chat modes, project and file references, the debugging order and meta prompting, quoted from Lovable's docs, plus the library's chained refinement prompts.
Lovable App Builder Guide: Editor, Modes and Prompt to App
A tour of the editor from our own sessions: the chat panel and its three modes, the preview toolbar, the code view, history and Cloud, each quoted from Lovable's docs.
8 Common Lovable Mistakes, Priced, One With a CVE
The eight mistakes that cost Lovable builders the most, each priced in correction rounds, with the exact prompt line that prevents it.
Vibe Coding Prompts: Ten With the Distribution Step Built In, and the Runs Behind Them
Ten copy-paste vibe coding prompts that each name the channel the app will be found through and the surface it needs, the definition from its source, and two prompts tied to measured Lovable runs.
Prompt Engineering Examples: Before-and-After Pairs From a Library We Rewrote, With the Outputs
Six before-and-after pairs from the audit of this site's prompt library: the line added, read from the prompt at build time, the vendor rule it applies quoted from Anthropic's and Lovable's docs, and the measured effect where a run exists.
Distribution and growth
Choosing a channel before you build, and getting the first users after.
How to Get Your First 100 Users for Indie Hacker Projects
Pick one channel, build for it, run the matching playbook. With a cited case study and the directory list that verifiably gives links.
Product-Channel Fit: Why the Channel Shapes the App You Prompt
Brian Balfour's product-channel fit applied to Lovable: pick the channel before the first prompt, because the channel decides the features.
The Lovable Prompting Handbook
A single reference for prompt structure, the distribution-first workflow, and the mistakes that cost the most rebuild time.
Idea to App: The Path We Measured, From Prompt to First Users
Brief, prompt, build measured in credits across three runs, the questions the builder asked, publishing, and the step the agency guides skip: the channel before the prompt.
50 App Ideas With the Build Prompt and the Channel That Gets Each One Its First Users
Fifty app ideas read from the prompt library at build time, each with the prompt that builds it and the distribution channel it was written for, grouped by channel, ranked by upvotes, three of them run with credits counted.
SaaS Landing Page Prompt: The Section Spec, Run in Lovable, With the Page It Built
Six sections in the order a cold visitor reads them, one CTA, pricing from one config object and FAQ schema, as a prompt; run in Lovable the day of writing with credits counted and the output checked against the spec.
15 SaaS Ideas With the Product Prompt, the Billing Mechanics and the Channel for Each
Fifteen SaaS ideas composed from the prompt library: the product prompt, the mechanics prompts that make it chargeable, a billing model that follows from who pays, and the channel. One foundation run at 10.4 credits; no market-size guesses.
15 AI App Ideas With the Prompt, the Grounding Rule and What the AI Calls Cost on Lovable
Fifteen AI app ideas read from the prompt library, each with the safeguard line its prompt carries and its channel; Lovable's AI connector rules read today (no API keys, a 4-credit monthly grant, 429 limits); and the counts from the one AI app this site runs.
Product Hunt Launch: The Rules From Product Hunt Itself, the Pages to Build First, and Why We Have Not Launched
Product Hunt's own launch rules quoted, third-party results with their sources kept visible, the four launch-day pages the library builds, and the plain statement that this site has not launched.
How to Build an MVP: One SaaS From Prompt to Landing Page in a Day, Every Credit Counted
One measured build: a SaaS foundation, SEO review, security scan, installable build and landing page on Lovable in a day, each step a prompt with its credits read from the billing page, ending with what is still missing before a first user.
MVP Examples You Can Inspect: Four Built Here With Prompt, Cost and Output, and the Famous Three Traced to a Source
Four MVP examples built on Lovable from this site's prompts, each with the prompt, the credits and the output; and Airbnb, Dropbox and Zappos traced to the best readable source, with the unsourced one labelled.
Build a SaaS on Lovable: The Foundation Prompt, the Schema That Proves Its Policies, and the Billing Step
The order that avoids rework: the foundation prompt run for 10.4 credits, the SaaS starter kit's schema with its policies and verification checks counted from the files, the mechanics prompts, and billing last with the webhook as the only writer.
The Lovable platform
Pricing, credits and how the product actually works.
How Lovable Credits Work (And How to Burn Fewer)
What Lovable credits are spent on, how rollover and expiry actually interact, which credits are consumed first, and the prompt habits that cut credit burn.
Lovable SEO: What Pre-rendering Fixes, and What Our Own Migration Measured
Lovable's SSR and pre-rendering from the docs, Google's rules on JavaScript, and the Search Console numbers from both sides of our own move from a Lovable build to server-rendered pages at the same URLs.
Vibe Coding Tips From One Site's Git Log: Twelve Mistakes and the Commits That Fixed Them
Twelve mistakes this site made building and running with AI tools, each with the date, the fixing commit and the lesson, the checks that came out of them, and the public record on AI-written code.
Lovable Pricing in 2026: Plans as Printed Today, and What One Prompt Costs in Credits
Lite, Pro, Business and the full Pro credit ladder read from the pricing page on the printed date, the Free plan's grants, the credit rules from the docs, and what three prompts cost in our own measured runs.
Lovable and Supabase: What Cloud Provisions, Where RLS Breaks, and Four Schemas That Passed
Lovable Cloud on Supabase's foundation versus your own project, from the docs; the three ways row-level security fails in a generated app, per the CVE and the docs; and the four kit schemas with policies executed and proven.
Lovable Security: The CVE, the Two Scans, and the Checks We Ran on Our Own Kits
CVE-2025-48757 with its score and the researcher's 303-endpoint scan; Lovable's Quick and Deep scans from the docs; a Deep scan run on our test project; the four kit schemas' policies; and this site's own paywall leak, with the check that fixed it.
Lovable and Stripe: Built-In Payments, Your Own Account, and the Webhook Behind Our Own Checkout
Built-in payments against your own Stripe account from the docs; Stripe's fees read today with the cost of one sale; Stripe's fulfilment rule; and the webhook, claim route and four defects behind the checkout that sells our bundle.
Lovable Mobile App: What the Phone App Does, and How to Put Your Own Lovable App on a Phone
What the Lovable iOS and Android app can and cannot do, from the docs and the store listing; the two documented ways to ship a Lovable-built app to a phone, PWA or Capacitor; and the PWA prompt run on our own project, credits counted.
What Is Vibe Coding? The Definition, the Record, and What It Cost Us
The three definitions with their dates, the public record with sample sizes, six measured Lovable runs with credits and questions asked, and the line between vibe coding and AI-assisted development.
What Is an AI App Builder? How They Work and What Six Runs Produced
The category from the outside: the vendors' definitions, how a prompt becomes an app with a backend, six measured runs with credits and questions asked, the five types and who each suits, what the vendor pages leave out, and seven limits with their sources.
Lovable compared
Where Lovable wins, where it does not, and what to use instead.
Lovable Alternatives: 6 Options Compared Honestly
Bolt, v0, Replit, Cursor, Base44 and Bubble compared against Lovable on category, pricing model, code ownership and documented weaknesses. Includes the case for not switching.
Lovable vs Cursor: Not the Same Category
Cursor ships no database, auth or hosting, and Lovable cannot import an existing repository. Both facts decide this comparison before price enters it.
Lovable vs Replit: IDE or Builder
The closest match to Lovable on capability. Compared on whether you want an IDE around the agent, how effort-based billing differs from credits, and a documented production incident.
Lovable vs Bolt.new: What the Meter Counts
Same category, so the differences are billing and exit. Bolt's tokens scale with codebase size by its own docs, against Lovable's two-way GitHub sync.
Replit Alternatives: Six Tools Sorted by the Job You Used Replit For
Six alternatives sorted by whether Replit was your agent builder, cloud IDE or pipeline step, prices read on the vendor pages on the date shown, Replit's own effort-based pricing posts quoted, our measured Lovable runs, and how to move a Repl out.
Cursor vs Claude Code: Editor or Agent, Priced and Measured on One Day's Work
Both vendors' definitions and prices read the same day, Anthropic's published cost per developer, one day of Claude Code on this repository counted from git, what each does that the other cannot, and how to run both.
AI Coding Tools in 2026: Eight Compared by Job, Three We Run and Measured
Builders, editors with an agent and terminal agents: eight tools with prices and meters read on the vendor pages the same day, JetBrains' 2026 adoption survey from source, and measured runs on the three we use.
Base44 Alternatives: Six Builders Sorted by What You Own After You Leave
Base44's plans and GitHub sync rules quoted from its own pages on the check date, six alternatives sorted by what leaves with you, prices read the same day, and measured Lovable runs.
Best AI App Builder in 2026: Six Builders Compared on What Ships, Priced the Same Day
Lovable, Bolt.new, v0, Base44, Replit and Bubble compared on backend, code out and meter, prices read the same day, measured Lovable runs with screenshots, and a disclosure of which one we run and sell.
Lovable vs v0: Same Category Now, Different Stack, Meter and Exit
v0 builds full-stack now, by its own docs. What still differs: Next.js on Vercel versus a React app on Lovable Cloud, per-user dollar credits versus seat-free credits, and v0's repo import against Lovable's export-only sync. Prices read today; only Lovable run by us.
Bolt vs Cursor: A Builder With a Backend, or an Editor for the Repo You Already Have
Not the same product. Bolt is a browser builder with a database, hosting and tokens that grow with the project; Cursor is an editor with an agent and no backend. Prices and meters read today, the Bolt-to-Cursor handoff from Bolt's docs, and 498 measured Cursor rules files.
Claude Code and other AI tools
The coding agents builders run beside Lovable, from our own workspace.
Claude Code Commands: Built-ins, Skills and the Ones We Run
Built-in commands from the docs, a minimal SKILL.md that works, the 24 custom commands running in our workspace by family, what broke, and when a subagent is the better tool.
Cursor Rules: How .mdc Files Work, Three to Copy, and What 498 Public Rules Show
The four rule types and the .mdc frontmatter from Cursor's docs, three rule files written for a Lovable export, 498 public rules measured against the 500-line guidance, and the ETH Zurich result on whether context files help.
Claude Code Subagents: The Config, Two We Run, and What 161 Public Agents Show
The built-ins and every frontmatter field from the docs, two subagents checked into our repository with a measured first run, and 161 public agents measured against the 15,000-token description warning.
Coding Prompts for ChatGPT, Claude and Copilot: Ten That Ship, and the Rules Behind Them
Ten copy-paste coding prompts derived from OpenAI's, Anthropic's and GitHub Copilot's own prompting guides, what a library of 101 prompts built to that spec looks like, and where each prompt should live so it runs without pasting.
The CLAUDE.md File: What Goes In, What the Docs Say, and What Broke in 29 of Ours
Where CLAUDE.md loads from and the 200-line guidance from the docs, the ETH Zurich study on context files, 29 files in one studio counted by length, this site's own file, and the four ways ours broke.
Cursorrules Examples: Six Rule Files by Framework, Written Against What 498 Public Ones Do
Six .mdc rule files for Next.js, React and Vite, Supabase, Tailwind and shadcn/ui, Node APIs and Python, each with its attachment mode and the reason per line, plus what 498 public rule files target and how they attach.
Claude Code Tutorial: Install to a Shipped Change on One Site, Counted from Git
Seven steps with an artefact each: the install, a timed first question, CLAUDE.md, plan mode for a twelve-file change, seven checks before a push, the commit, a skill and a subagent, and one day's output from git.
Also on this site
- the 101-prompt library
Free, grouped by category and channel.
- free Lovable build kits
Prompt, schema, verification queries.
- SaaS prompts
Auth, roles, billing, trials.
- UI prompts
Screens and states.
- Claude Code commands
Built-ins, skills and the ones we run.
- the Complete Lovable Bundle
Every prompt, every kit, one payment.
- Cursor rules
The .mdc format, three files to copy, 498 rules measured.
- Claude Code subagents
Config fields, two we run, 161 public agents measured.
- Replit alternatives
Six tools by the job Replit was doing, prices checked.
- Lovable SEO
Pre-rendering, SSR, and our own before-and-after.
- Idea to app
The path we measured, prompt to first users.
- Coding prompts
Ten for ChatGPT, Claude and Copilot, from the vendors' guides.
- Cursor vs Claude Code
Editor or agent, priced and measured on one day's work.
- The CLAUDE.md file
The docs, the study, 29 files counted, what broke.
- Claude Code prompts
Ten task briefs, each with a verification step.
- Cursor prompts
Ten briefs for Cursor's Agent, checkpoint and check included.
- Cursorrules examples
Six rule files by framework, 498 public ones counted.
- AI coding tools in 2026
Eight compared by job, three measured.
- Vibe coding prompts
Ten with the distribution step built in.
- Vibe coding tips
Twelve mistakes and the commits that fixed them.
- Lovable pricing
Plans as printed today, credits per prompt measured.
- Base44 alternatives
Six builders sorted by what you own after you leave.
- Base44 prompts
Ten briefs written to Base44's building blocks.
- Best AI app builder
Six compared on what ships, priced the same day.
- Lovable and Supabase
Cloud, your own project, and RLS that is proven.