Brown Industries // AI-Enabled Products (Secondary)

You want AI.
You don't want
the slog.

Every project needs its own API keys, provider setup, usage limits, config. Testing AI features is annoying. Deploying them is worse. I built the infrastructure to solve exactly that — for myself first, now for you.

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brwn-consulting — stack audit v1.0.0
$ audit --target client-llm-stack
→ API keys per project: 7 different providers
→ Model config scattered across: 14 files
→ Switching from GPT to Claude requires: full refactor
→ Time to test new model: 3 days minimum
 
$ apply --fix one-gateway --bridge openclaw
→ API keys: 1 token, all providers
→ Model config: 1 env var
→ Switching models: change OPENCLAW_CHAT_MODEL, redeploy
→ Time to test new model: 30 seconds
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// 001 — The Problem

Why AI projects
stall out.

I kept building apps with LLM features baked in. Every project needed its own API keys, its own provider SDK, its own usage limits and config. Testing AI features across projects was a constant slog.

So I built the infrastructure to fix it — for myself. One gateway, one auth layer, one place to swap models. Now every app I ship routes through that single surface. Switching from Claude to GPT is one env var. Testing a new model takes 30 seconds. Usage is tracked in one place.

That infrastructure is what I bring to clients. Not slide decks. Not roadmaps. Working systems.

// 002 — Services

What I build
for you.

LLM Infrastructure
AI Gateway Setup
Deploy a self-hosted OpenAI-compatible LLM gateway on your VPS or cloud. Every app in your stack routes through one endpoint. One token. One bill. Swap providers without touching your code.
  • OpenClaw gateway deployed on your infra
  • one-gateway client integrated into your apps
  • Provider setup: Anthropic, OpenAI, OpenRouter, Ollama
  • nginx + SSL + systemd services
  • Model routing config + fallback chains
Scoped after an AI Ops Audit
Start with the audit →
Agentic Systems
AI Agent Pipeline
Custom autonomous agents that take actions, call tools, and operate on schedules. Research agents, workflow agents, data pipeline agents — built on proven production architecture.
  • Custom agent design for your use case
  • MCP tool integration (53+ tools available)
  • Cron/event-driven trigger setup
  • Memory + context persistence
  • Monitoring, logging, auto-restart
Scoped after an AI Ops Audit
Start with the audit →
Full Stack Migration
Cloud → Self-Hosted
Move your app off Vercel, Convex, Supabase cloud, or any managed backend onto your own VPS. Cut recurring costs. Own your stack. Every service gets a systemd unit, nginx proxy, and SSL cert.
  • Backend migration (Express / Node / Python)
  • Database migration to self-hosted PostgreSQL
  • DNS + nginx + wildcard SSL setup
  • Systemd services for all apps
  • LLM bridge wired into every app
Scoped after an AI Ops Audit
Start with the audit →
Advisory
Fractional AI Architect
Ongoing access to someone who has actually shipped production AI systems. Ongoing support covers architecture reviews, model selection, code review, and async Q&A. No fluff.
  • Weekly async check-in via Telegram/Discord
  • Architecture review for new features
  • Model + provider recommendations
  • Code review on AI integration PRs
  • Unlimited questions, fast turnaround
Scoped after an AI Ops Audit
Start with the audit →
// 003 — Why Me

Proof of work,
not credentials.

6+
Production apps
shipped & live
140+
MCP tools built
(XActions)
1
LLM gateway
in production
VPS
Self-hosted
stack I run daily

I'm not a consultant who learned AI from a course. I'm a solo builder who has been shipping production AI systems since the Code Davinci era. Everything I offer, I built and run myself first.

The LLM gateway I'll deploy for you? I run it on my own VPS, routing every app I own through it. The self-hosting migration? I just did it today — moved three apps off Vercel and Convex cloud in one afternoon. The agent pipeline? It's how I run my own workflow automation.

You're not getting theory. You're getting the exact infrastructure I trust with my own work.

// 004 — How It Works

Simple process.
Fast delivery.

01
Start with an AI Ops Audit
Infrastructure work is scoped after a $500 AI Ops Audit (credited toward a Sprint). Tell me what you're building and what's painful.
02
Scope
I look at your stack (GitHub, deployed apps, whatever you share) and tell you exactly what I'd fix and how long it takes. Straight answer, no fluff.
03
I build it
Fixed-scope, fixed-price, fixed deadline. You get working infrastructure, not a roadmap PDF. All code is yours, fully documented, no vendor lock-in.
04
You own it
Everything runs on your infra, under your domain, in your GitHub. I walk you through it, answer questions, and stay available for 30 days post-delivery.
// 005 — FAQ

Common questions.

Do I need OpenClaw to use your services?
No — I can work with your existing stack. OpenClaw is the gateway software I use and recommend, but if you have a different setup I'll work with what you have. The goal is clean LLM routing, not a specific tool.
I have an existing app. Can you add AI features to it?
Yes. Send me the repo or describe the stack. Most integrations take 1–3 days depending on complexity. I wire the LLM bridge in and build the feature — same as I do for my own apps.
What if I don't have a VPS?
I can help you spin one up (Hostinger, Hetzner, DigitalOcean) — a small VPS is more than enough for most workloads. That's what I use. I'll configure everything from scratch.
How does payment work?
50% upfront, 50% on delivery. Every project is scoped after an AI Ops Audit, with a fixed price agreed before work starts — no hourly billing surprises.
What's your turnaround?
Gateway setup: 48–72 hours. Self-hosting migrations: 2–5 days per app. Agent pipelines: 1–2 weeks depending on scope. I take 2–3 projects at a time max so I'm actually focused on yours.

Ready to stop redoing
provider setup?

Tell me what you're building. I'll tell you what I'd do with it. No obligation, no sales pitch — just a straight answer from someone who's already solved the problem.

Start a Conversation →
brwn-industries — consulting terminal v1.0.0
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