Describe your idea. VibeMap turns it into a linked spec your AI coding agent can actually build from.
Acceptance criteria covered
Sprint 1 to sprint 3
Stories built per sprint
In VibeMap you chat with your requirements, not your codebase. Your idea will change. Absorb that change in the spec in seconds, then hand your IDE one batched, settled change instead of a slow round-trip for every prompt.
VibeMapOne paragraph in. VibeMap generates the personas, features, user stories, acceptance criteria, pages, and database schema, then links every one back to the artifact that justified it.
See every artifactGenerating
The assets don't arrive as a flat list. VibeMap sequences them into sprints: what to build first and what depends on what, so you start with an order, not a pile.
See the sprint plannerFeatures sequenced
Sprints
Blocked
Your coding agent pulls each acceptance criterion and builds it test-first. When it's ready, the app publishes to your own GitHub, Supabase, and Vercel. No copy-paste, no lock-in.
Read the MCP docsVibeMap
your context
MCP
one protocol
LLMs
IDEs
deploy targets
The first prompt feels like magic. Then every session starts from zero, and you burn tokens re-deriving choices you already made.
Code quality spirals
Conflicting files and bloated code pile up until the codebase rots.
Features, schemas, and flows are defined upfront, so AI builds it right the first time.
Fast MVP, slow launch
The prototype is quick. Production takes months of rewrites and edge cases.
Acceptance criteria, error scenarios, and data constraints are planned before code.
Context goes stale
Context windows fill with stale info. Nobody knows what was decided.
One living blueprint keeps humans and AI aligned as the product evolves.
Endless token burn
Every prompt re-explains the product and re-derives settled decisions.
A structured blueprint feeds AI exactly what it needs, once. Fewer retries.
VibeMap writes specs for the models, IDEs, and frameworks you already use, then publishes the app to accounts you own.
Skip the blank page. Go from a paragraph to a Cursor-ready spec, with schema, stories, and acceptance criteria, in 30 minutes.
How indie hackers use itGet the product out of your head and into one document your first hire, contractor, and investor can all read.
How technical founders use itPersonas, user stories, and acceptance criteria, ready to drop into Linear or Jira.
How product managers use itTurn a discovery call into client-ready scope in a single working session.
How agencies use itSchema-first specs that keep a small team aligned before code, not after.
How engineering leads use itStart free. No credit card required. Upgrade when you need more.
Free
Explore the blueprint workflow and get started with your first project.
Start your first spec$19/month
More features, projects, and tokens for production-ready projects.
Start your first spec$49/month
Unlimited projects, frontier models, MCP server access, and priority support.
Start your first spec$79/month
Shared projects, billing, and one token budget across your whole team.
Start your first spec$199/month
Automatic routing up to frontier models, SSO, DPA, and dedicated support.
Start your first specThe spec layer is the planning stage that sits between a product idea and an AI coding agent. VibeMap is the spec layer for vibe coding: it turns a plain-English idea into linked personas, features, user stories with acceptance criteria, a database schema, and a page inventory, so tools like Cursor, Lovable, or Claude Code build from a structured brief instead of an evolving prompt. Working from a spec keeps AI-generated codebases coherent as they grow, instead of accumulating conflicting files and dead code.
Lovable, Bolt, and Base44 generate working prototypes directly from a prompt. VibeMap works upstream: it produces the production-ready specification those tools (or your own AI coding agent) build from. Teams use both — VibeMap for the linked spec, a builder for the code — so the app survives past the prototype stage. The practical difference shows up in month two: a prototype built from a prompt has no artifact explaining why it works the way it does, while a VibeMap spec does. Detailed comparisons are at vibemap.ai/alternatives.
Yes. VibeMap publishes an MCP server (@vibemap.ai/mcp-server on npm) that connects your spec directly to MCP-compatible agents like Cursor, Claude Code, and Windsurf. The agent reads personas, user stories, acceptance criteria, and database schema straight from your VibeMap project — no copy-pasting context into prompts. This keeps the agent grounded in one source of truth while it builds. MCP access is open on every VibeMap plan, including Free.
VibeMap has five tiers billed monthly, with a 20% discount on annual billing: Free at $0, Starter at $19, Pro at $49, Team at $79, and Enterprise at $199. The Free plan needs no credit card and covers one project with the core pipeline — summary, personas, features, user stories, and acceptance criteria. Starter adds pages, sections, schema, the Blueprint map, and the conversational agent. Pro adds the business case, sprint planner, App Builder, and manual model selection. You can also try VibeMap at vibemap.ai/demo without signing up at all.
This is the standard failure mode of credit-metered AI app builders, and VibeMap's architecture avoids most of it. VibeMap generates specification artifacts, not application code, so a wrong answer is a paragraph you edit rather than a build you re-run — and editing artifacts by hand or through the conversational agent is far cheaper than regenerating them. Separately, any authoring your own coding agent does over MCP costs you nothing from your VibeMap budget. You are billed when VibeMap generates, not when you correct it.
Yes. Every artifact VibeMap generates is editable. Users can rewrite, reorder, or extend user stories, acceptance criteria, personas, and schema fields directly in the VibeMap interface. When one artifact changes, VibeMap propagates the change to dependent artifacts — for example, editing a user story updates the linked acceptance criteria and re-prompts the schema generator if the change implies a new data field. A conversational agent lets users refine artifacts through natural-language dialogue.
On paid plans, no. Your inputs and generated outputs are not used by VibeMap or by VibeMap's LLM providers to train foundation models, and this is enforced at the gateway: paid inference is routed through OpenRouter with a no-data-collection policy that restricts routing to upstream providers whose own policy is not to log or train on prompts. The full detail, including what applies on the free tier, is in the VibeMap privacy policy at vibemap.ai/privacy.
A complete first pass in VibeMap takes 10 to 30 minutes. You sign in, click New Project, and describe the product in plain English. VibeMap asks a few clarifying questions about target users, technical stack, and constraints, then runs a multi-step pipeline that produces the blueprint: personas, features, user stories, acceptance criteria, pages, and schema. Artifacts stream in as they are generated, so you can read the personas while the stories are still being written. Refining the result through the conversational agent typically takes another 15 to 30 minutes.
product-strategy
A lightweight business case template for builders. Pressure-test any product idea in 30 minutes, with a worked example, kill criteria, and the self-deceptions to avoid.
database-design
Turn user stories into a production-ready PostgreSQL schema in five steps: extract nouns, define entities, map cardinality, add constraints. Full worked example with SQL, plus a free database schema generator.
acceptance-criteria
Learn Gherkin acceptance criteria in plain English: 12 complete Given/When/Then examples across auth, payments, search, and edge cases, plus a bad-criteria rewrite gallery and a checklist for handing scenarios to AI coding agents.
Your first linked spec is about 30 minutes away. Free, no credit card.
