Launch a focused AI-powered MVP in 12 weeks with a Laravel backend, Vue.js frontend, practical AI integrations, QA, deployment, source-code handoff, and a fixed scope before development starts.
Get MVP QuoteSomnio's 12-week AI MVP package turns a focused product idea or workflow into a launchable Laravel/Vue application with practical AI integration. The package is built for teams that can define one valuable product loop, launch criteria, user roles, data sources, integrations, and exclusions before development starts.
A typical build includes discovery, architecture, backend APIs, frontend workflows, authentication, selected integrations, AI model or API integration, analytics or feedback capture, QA, deployment, documentation, source-code handoff, and 2 weeks of post-launch support. AI-powered MVPs start at $20K when the product fits a focused launch scope.
It is not designed for unlimited feature lists, enterprise rewrites, regulated compliance programs, or native app store launches unless those are separately scoped. Third-party software, model, hosting, and API fees are also scoped separately. Final ownership terms are confirmed in the signed agreement, but the delivery model is designed around client-owned custom source code, deployment instructions, and a maintainable roadmap after launch.
Service scoping
Somnio starts by clarifying the business workflow, users, systems, data, launch deadline, and ownership expectations behind the service request. That keeps the proposal focused on outcomes instead of generic development hours.
A typical scope defines deliverables, assumptions, exclusions, weekly demo cadence, QA expectations, deployment responsibilities, and handoff notes before development begins. This gives clients a clearer path to fixed pricing and reduces surprises after launch.
Weeks 1-2 define the buyer, workflow, launch criteria, feature boundaries, data model, integrations, risks, and fixed scope before implementation starts.
Laravel APIs, authentication, roles, data models, background jobs, business logic, and integration boundaries built for a maintainable first product.
Vue.js and TypeScript interfaces, Tailwind components, dashboards, forms, mobile-ready PWA patterns, and user flows that support real validation.
OpenAI, Claude, custom model, or third-party API integrations for chat, content generation, decision support, workflow automation, and AI-assisted operations.
Core flow testing, cross-browser review, launch polish, production deployment, repository handoff, documentation, deployment instructions, and 2 weeks of post-launch support.
The package does not include unlimited feature expansion, native app store launch, large data migrations, enterprise compliance, or ongoing maintenance unless separately scoped.
Mainstream frameworks, AI services, and deployment patterns chosen for speed, ownership, and maintainability
Backend APIs, authentication, roles, queues, data models, admin workflows, and business logic
Responsive product interfaces, dashboards, forms, and interactive application flows
Fast, accessible UI implementation using the same frontend conventions as the Somnio site stack
AI model integrations for chat, generation, summarization, classification, and workflow assistance
AI-assisted scaffolding, implementation support, refactoring, and review inside a senior-led workflow
Mobile-ready web apps, installable experiences, service workers where useful, and faster validation without app store delays
Package comparison
Compare the focused 12-week AI MVP package with adjacent discovery and post-launch scale options so buyers can understand what is included, excluded, and separately scoped.
| Package | Best for | Typical timeline | Starting scope | Key deliverables |
|---|---|---|---|---|
| AI MVP Discovery & Scope | Founders and operators who need to turn an idea, workflow, or prototype into a buildable fixed-scope plan before committing to development. | 1-2 weeks before build kickoff. | Product loop, buyer, AI use case, risk review, data model, integration list, and fixed launch boundaries. | Feature priorities, technical architecture, AI integration plan, delivery assumptions, exclusions, roadmap notes, and a fixed development proposal. |
| 12-Week AI MVP Build | Teams with a defined launch goal that need a working AI-enabled product, not a throwaway demo or slide-deck prototype. | 12 weeks for focused MVP scopes. | Starting at $20K when requirements fit the package and exclusions are clear before development starts. | Laravel backend, Vue.js or PWA frontend, user accounts, core workflows, selected integrations, AI API integration, analytics, QA, deployment, source-code handoff, and 2 weeks post-launch support. |
| Post-MVP Scale Sprint | Teams that launched an MVP and need to improve workflows, add integrations, harden infrastructure, or expand validated features. | 2-6 week scoped sprints after launch. | Scoped separately based on user feedback, performance needs, integration depth, and the next validated product milestone. | Feature expansion, performance tuning, AI prompt or workflow improvements, dashboards, automation, infrastructure updates, tests, and roadmap handoff. |
Best for founders who have a defined product idea, clear launch goal, and need a working first version without staffing a full engineering team.
Fits internal tools, customer portals, dashboards, quote builders, scheduling flows, and AI-assisted workflows that need real users and data.
Built for teams that want practical control over custom source code, documentation, deployment access, and the next product roadmap.
Not a fit for unlimited feature lists, large enterprise rewrites, regulated compliance programs, or native app store launches without separate scope.
Define the first usable product loop, success criteria, AI use case, feature boundaries, data model, integration plan, delivery assumptions, and fixed launch scope
Build Laravel backend services, Vue.js or PWA interfaces, authentication, roles, data flows, core workflows, and weekly demo-ready increments
Integrate AI models or APIs, connect selected third-party systems, refine user flows, add analytics or feedback capture, and stabilize the launch experience
Complete core flow testing, browser review, launch polish, production deployment, documentation, source-code handoff, and the included 2-week post-launch support window
Frequently asked questions
Direct answers for founders and operators comparing AI MVP development partners, pricing, ownership, and delivery scope.
A typical 12-week AI MVP includes discovery, product architecture, Laravel backend development, Vue.js or PWA frontend development, user accounts, core workflows, selected integrations, AI model or API integration, analytics or feedback capture, QA, deployment, handoff documentation, and 2 weeks of post-launch support.
AI-powered MVPs start at $20K when the product fits a focused fixed-scope launch package. Final pricing depends on workflows, integrations, AI complexity, data requirements, launch polish, and any exclusions that need to be separately scoped.
Common AI MVP features include chat interfaces, content generation, summarization, classification, document workflows, recommendation logic, AI-assisted operations, decision support, and workflow automation using OpenAI, Claude, custom models, or third-party APIs.
The package fits founders, operators, and small to mid-sized teams with a defined product idea, clear launch goal, and a focused workflow that can be validated by real users within a 12-week build plan.
The delivery model is designed around client-owned custom source code, repository access, deployment instructions, and documentation. Final ownership terms are confirmed in the signed agreement before development starts.
A production-ready AI MVP has one validated product loop, clear user roles, working backend APIs, secure authentication, practical AI integration, QA on the core flows, analytics or feedback capture, production deployment, documentation, and a handoff path for support after launch.
Scoping defines the source data, privacy constraints, required integrations, model or API options, prompt or workflow responsibilities, fallback behavior, evaluation criteria, cost assumptions, and which AI features are safe to include in the first release.
Prototype first when the AI behavior, user workflow, data quality, integration access, or buyer demand is still uncertain. A prototype can validate the risky part before the team commits to a fixed-scope 12-week build.
Related resources
Use these buying guides to understand delivery speed, functional AI prototyping, fixed pricing, and code ownership before you choose a development partner.
How Somnio scopes, builds, tests, and launches rapid MVPs without treating the product as disposable prototype code.
Read moreHow to validate an AI workflow with a functional prototype before committing to a full MVP build.
Read moreWhat buyers should know about fixed project pricing, source-code ownership, and avoiding vendor lock-in.
Read moreCompare discovery, AI implementation, MVP, website, and software package entry points before choosing a build path.
Read moreHow Somnio uses AI tools to speed implementation while senior developers stay responsible for architecture, QA, and handoff.
Read moreStart with the MVP definition, then review API terminology when your product depends on integrations or backend services.
Read moreReview API terminology for backend services, third-party integrations, model calls, and product workflows.
Read moreBring your product idea, existing prototype, or workflow problem and Somnio will help define the fixed launch scope, starting price, ownership terms, and fastest safe path to a working MVP.
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