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Flow Engineering Consulting

Your AI-Built App Works.Now Let's Make It Production-Ready.

If you built your app with AI and it's starting to crack under real-world pressure—no multi-tenancy, vendor lock-in, no cost controls—this is the engagement that fixes it properly. We rebuild the architecture so it deploys to the cloud cleanly, scales with clients, and you own every piece of it.

What AI-First Builds Usually Get Wrong

AI makes it possible to ship fast. It doesn't make it possible to ship correctly. Here's what breaks when you try to scale an AI-generated codebase.

No Multi-Tenancy

Your app was built for one user. Adding clients or workspaces means a full rewrite anyway—better to do it right now.

Insecure AI Workflows

Running Claude or any AI agent from the root directory with bypassed permissions gives it dangerous system-wide access.

Vendor Lock-In

Supabase, Vercel, Pinecone—each adds cost, limits local dev, and creates a dependency you can't easily escape.

No Cost Controls

Per-frame AI processing and uncapped API calls can spike your bill overnight. Without tracking, you're flying blind.

Tightly Coupled Code

Frontend and backend in a monolith means one broken deploy takes everything down—and makes mobile apps nearly impossible.

No Phased Plan

AI generates everything at once. Real engineering builds incrementally—test, commit, ship, repeat.

The Stack That Actually Scales

We design and build around a modern, decoupled, containerized stack. Everything runs locally via Docker and deploys to any cloud with a single command.

Backend

FastAPI (Python)

A high-performance async API layer that's clean, typed, and easy to extend.

Frontend

Next.js

Decoupled from the backend so your UI evolves independently—and a mobile app can share the same API.

Database

Postgres + pg_vector

Self-hosted, no Pinecone needed. Full RAG capabilities baked into your own stack.

Deployment

Docker + Makefile

The entire stack runs locally with one command. Cloud deployment is just pushing images.

Auth

Auth.js

Standardized, secure user authentication with session management and provider support.

Billing

Stripe

Platform subscriptions, pay-per-use metering, and agency-level client billing all in one.

Local-First. Cloud-Ready.

Every service runs on your machine via Docker and a Makefile. No external dependencies during development. When you're ready to ship, you push images to your cloud provider of choice.

make up  |  make migrate  |  make deploy

Built for Agencies and Multi-Tenant SaaS

Whether you're serving one client or fifty, the architecture supports a proper agency model from day one—no retrofitting required.

1

Agency

Top-level tenant. Your company or your client's company. Owns all workspaces beneath it.

2

Workspace

Client-specific environments within an agency. Each client gets isolated data and configuration.

3

User & Roles

Role-based access per workspace: viewer, editor, and admin. Fine-grained permissions out of the box.

Platform Billing

Stripe integration for platform subscriptions and pay-per-use features like AI processing. Track cost per request so you never get surprised by a bill.

Agency Billing

Agencies can bill their own clients for workspace access. Your platform becomes a revenue stream, not just a cost center.

The Four-Phase Process

We don't rebuild everything at once. We move phase by phase— build, test, commit to Git, ship. Clean increments, no big-bang disasters.

01

Architecture Review

We audit what you've built, identify the debt, and map out the rebuild scope. No judgment—just a clear picture of where you are and where you need to go.

Outputs

  • Current state audit
  • Tech debt inventory
  • Rebuild scope document
02

Blueprint Design

We design the full system architecture together—API contracts, database schema, multi-tenancy model, auth flows, and billing integration.

Outputs

  • System architecture diagram
  • Database schema
  • API contract spec
03

Foundation Build

Docker setup, project scaffolding, CI/CD pipeline, and local development environment. The skeleton everything else hangs on.

Outputs

  • Docker compose setup
  • Makefile commands
  • Local dev environment
04

Phased Feature Delivery

We rebuild features one phase at a time—build, test, commit to Git, move on. Stable increments instead of big-bang deployments.

Outputs

  • Phase-by-phase delivery plan
  • Git commit strategy
  • Testing checkpoints

Who This Is For

If you've outgrown your first version and need to do it right, this engagement is for you.

Solo Builders with AI-Generated Code

You shipped something with Claude or ChatGPT. It works—barely. Now you need it to actually scale.

Founders Adding Their First Clients

Your single-user app is about to become a multi-tenant SaaS. The architecture has to change before that can happen.

Developers Escaping Vendor Lock-In

You're paying too much for Supabase, Vercel, or Pinecone and want to bring it all in-house under your control.

Teams Preparing for Cloud Deployment

You need Docker, CI/CD, and proper environment management before you can confidently ship to production.

This Isn't Consulting. It's Building.

Most architecture consultants hand you a diagram and leave. Flow Engineering is hands-on. We design it together, then we build it together— so you understand every decision and can maintain it yourself.

  • We work in your codebase, not a demo environment
  • Every phase produces real, committed, working code
  • You own the architecture—no dependency on me to keep it running
  • Local-first setup means you can develop anywhere, anytime
  • Cloud deployment is a solved problem before we finish
Flow Engineering Consulting

Start With a Free Architecture Call

We'll walk through what you've built, where it's breaking down, and whether this engagement is the right fit for your stage. No pitch, just clarity.

Ready to Build Something That Actually Lasts?

Stop patching what AI built and start architecting what you actually need. Book a free call and let's map out your rebuild.