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You built it with AI. We make it real.

Tools like Base44, Lovable, and Bolt let you build working prototypes fast. The hard part is what comes next: making it secure, scalable, and ready for real users.

System Health
// src/api/users.ts — typed, tested, secure
const key = env("API_KEY")
const db = supabase.from("users")
// ✓ RLS policies enforced
// ✓ edge-cached, 84ms p95
// ✓ 100% test coverage
Uptime
99.97%
redundancy + auto-recovery
Avg Response
84ms
optimized queries + edge caching
Concurrent Users
2,847
built to scale from day one
Data Security
RLS
row-level policies + audit logs
Auth
Database
Monitoring
CI/CD
all systems operational
App Status
VIBE-CODED
// app.js — 847 lines, one file
const API_KEY = "sk-live-9f8x2...hardcoded"
const db = sqlite("./data.db")
// TODO: add authentication
// TODO: handle errors maybe?
// TODO: this probably won't scale
Uptime
~mostly
crashes on high traffic
Avg Response
2.4s
no caching, n+1 queries
Auth
None
if (password === "admin")
Data Safety
YOLO
no backups, no RLS
No Auth
SQLite
No Logs
No CI
works on my machine
hover to see the MAD Stack difference

Great demo.
Now make it real.

AI tools get you to a working prototype fast. But prototypes and products differ where it counts — security that holds, architecture that scales, infrastructure that doesn't break.

Without SSO and proper role-based access controls, enterprise clients won't sign. One compliance question ends the conversation.

Authentication that breaks under real-world demand

AI gives you basic auth, but not the identity infrastructure real customers demand.

  • No multi-tenancy or org-level access
  • No row-level security or role-based access
  • No SSO — enterprise customers walk away
One good press mention, one traffic spike, one live demo — and the app goes down exactly when it matters most.

Fragile at scale

The generated code works, but the architecture won't hold under real-world load.

  • No connection pooling or query optimization
  • No background jobs or async processing
  • No caching, CDN, or edge strategy
Every new feature costs three times as much when there's no structure to build on. The codebase becomes something you work around, not something you build on.

No architecture, just output

AI generates code that works, but with no consistency, no patterns, and no structure to build on.

  • No reusable components or shared patterns
  • No type safety, validation, or API contracts
  • Business logic tangled into UI — no separation of concerns
48%

of AI-generated code contains exploitable security vulnerabilities

Source: Veracode AI Research, 2025

When a bug reaches production, you're hearing about it from a customer — not a test run. That's the moment trust breaks.

No tests, no safety net

Every change is a gamble — one update can break three features and you'd never know until a user reports it.

  • Zero unit or integration tests
  • No CI pipeline — bugs ship silently
  • No regression protection or rollback strategy

Our own products.
Our own proof.

We don't just engineer production systems for clients. We plan, build, operate and maintain our own products.

OUR PRODUCT

LucidOS

Supercharge Your AppFolio Instance.

An operations layer that extends AppFolio with the workflows, automations, and reporting property managers actually need.

OUR PRODUCT

Rubsy

Utility Billing for Texas Property Managers.

A RUBS-powered utility billing platform purpose-built for Texas property managers — allocate, bill, and track utility costs with full compliance and zero spreadsheets.

CUSTOM ENGINEERING

Prototype → Production

Bring us your Base44, Lovable, or Bolt prototype. We'll audit it, re-architect it, and rebuild it into a production-grade application — with the auth, data integrity, testing, and infrastructure it needs to serve real customers at scale.

Auth & Security
RLS, SSO, role-based access, session management
Data & Schema
Normalized tables, migrations, typed queries, backups
Testing & CI
Unit, integration, E2E tests with automated pipelines
Performance
Edge caching, optimized queries, CDN, connection pooling

We've been on
your side of the table.

The tools to build a prototype have never been better. The gap between that prototype and something you can stake your business on has never been wider. We built MAD Stack to close that gap.

David Lilley — Founder
Operations

David Lilley

Founder

Founder & CEO of Reap Capital — nearly 2,000 multifamily units and $220M+ in acquisitions. Brings the operator's perspective: he knows what breaks when business-critical software isn't built to last.

Reap Capital
Michael Froseth — Co-Founder
Engineering

Michael Froseth

Co-Founder

Founder of Southwell Media. 20+ years spanning design, marketing, and full-stack development — a lead engineer who holds architecture, product, and business logic in the same view.

Southwell Media
Andrew Hood — Co-Founder
Growth

Andrew Hood

Co-Founder

Founder of AKH Digital. Over a decade helping businesses figure out who they're talking to and how to grow. At MAD Stack, he makes sure what gets built actually reaches the people who need it.

AKH Digital

From stuck prototype
to shipped product.

01

Diagnose

We review your prototype, mapping the architecture to identify what to keep and what is structural debt.

02

Design

We design a scalable foundation: real authentication, normalized databases, and resilient infrastructure.

03

Build

We rewrite the critical layers with production-grade code, wrapped in tests to ensure stability.

04

Own It

We deploy to secure, transparent infrastructure and hand off the keys. Or .

05

Maintain

We stay on as your engineering partner — shipping features, monitoring infrastructure, and keeping the codebase healthy as your business grows.

Have a prototype?
Let's make it real.

Tell us what you've built. We'll tell you what it takes to ship safely, securely, and at scale.

Typically we respond within 24 hours.