M8 Apps
Case Studies

Realproducts.Realresults.

Every case below is a real product we designed, built, and launched. These are not hypotheticals — they are live systems generating value for their owners.

AI / HealthDiscovery: 1 week. MVP: 6 weeks.

Nutricionista.ai — AI-Powered Diet Planning Platform

View Live ↗
nutricionista.ai—ai-powereddietplanningplatform.com
Nutricionista.ai — AI-Powered Diet Planning Platform

The problem

A nutritionist's practice was bottlenecked by manual patient onboarding and diet planning. Each new patient required 45+ minutes of repetitive intake work, limiting capacity to ~8 patients per day. Scaling the practice meant hiring more staff, not building better systems.

What we built

We built an AI-powered patient portal with LLM integration for automated diet generation. The system handles onboarding, collects medical history, and generates personalized meal plans based on clinical parameters. A dashboard gives the nutritionist full oversight with one-click approval workflows.

Results

70% reduction in operational time per patient

Patient capacity increased 3x without additional staff

Onboarding time reduced from 45 min to under 10 min

MVP launched and deployed in 6 weeks

Next.jsSupabaseOpenAI APIVercelTailwind
Legal TechDiscovery: 2 weeks. MVP: 8 weeks.

LeyesEcuador.com — Automated Legal Consultation Platform

View Live ↗
leyesecuador.com—automatedlegalconsultationplatform.com
LeyesEcuador.com — Automated Legal Consultation Platform

The problem

A specialized legal practice was limited by traditional 1-on-1 availability and manual document review. Clients waited days for initial consultations, and the firm had no way to scale its expertise beyond the founding attorney's hours.

What we built

We architected a robust backend with secure data routing and automated consultation flows. The platform handles client intake, document classification, and routes cases to the appropriate legal framework. Secure data handling ensures compliance with local regulations.

Results

Initial consultation wait time reduced from days to minutes

Document review partially automated, freeing 15+ hours/week

Scalable architecture ready for multi-attorney expansion

MVP launched in 8 weeks

Next.jsNode.jsPostgreSQLVercel
WellnessDiscovery: 1 week. Demo: 4 weeks.

Revive — Wellness Service Onboarding Prototype

revive—wellnessserviceonboardingprototype.com
Revive — Wellness Service Onboarding Prototype

The problem

A wellness startup was experiencing high drop-off rates during service onboarding. The traditional intake process was friction-heavy: long forms, unclear pricing, and no way to visualize the service journey before committing.

What we built

We designed and built a high-fidelity functional prototype focused on frictionless UX/UI. The flow guides users from discovery to booking in under 3 minutes with progressive disclosure, transparent pricing, and visual service previews. Built for rapid market validation before full development investment.

Results

Onboarding completion rate validated at 3x industry average

User flow reduced from 12 steps to 4

Prototype used to secure pre-launch partnerships

Demo validated in 4 weeks

Next.jsFramer MotionTailwindFigma

Readytobuildyours?

Book a Call