System Warning

You raised money.
Now you need a system
that can handle it.

Most AI startups don't fail because of the idea. They fail because their system breaks before they reach traction.

Right now, you have funding.

But under the hood, things are already fracturing.

// CURRENT_STATE

It works in demos.
It will not survive real users.

  • ⨯ Your AI is inconsistent
  • ⨯ Your costs are scaling faster than revenue
  • ⨯ Your architecture is fragile
  • ⨯ Your team is guessing

What Happens If You Don't Fix This

This is how funded startups die.

01

Burn Rate Explodes

Quietly, but rapidly. Inefficient LLM calls and bloated infra eat your runway.

02

Development Halts

Your team slows down with every new feature because the foundation is spaghetti.

03

Investors Ask Questions

You miss your traction window. The product becomes unreliable. Trust evaporates.

What I Actually Do

I don't build MVPs.

I fix systems that are already breaking.

The Intervention

  • ✓ Rebuild your AI architecture so it can scale
  • ✓ Cut your LLM costs (often 30–70%)
  • ✓ Fix broken RAG pipelines and data flow
  • ✓ Make your AI predictable and testable
  • ✓ Turn your prototype into a production system

/* Battle-Tested Background

My engineering DNA comes from high-frequency Fintech. Before fixing AI systems, I built architectures where a millisecond of latency meant lost money.

// Heavy Load Environments

Led the development of a prop trading system handling $100M+ in volume for ~800 active traders.

My responsibility was never just "delivery." It was system behavior under extreme load — execution flow, latency bottlenecks, and engineering robust failure scenarios.

I've also built foundational infrastructure across the fintech space, including the initial API for BitMart Exchange.

I don't just write code. I engineer fault-tolerant systems.

current_infrastructure.yml OPTIMIZED
  • Architecture Monorepo (Turborepo)
  • Core Engine Bun + Hono
  • Data Pipeline WebSockets / REST
  • State & Precision Zustand + Decimal.js
  • Client Perf React 19 + Canvas API

You don't need more developers.

You don't need more features.

You need correct technical decisions.

That's what I provide.

01 Who This Is For

  • You've raised pre-seed / seed
  • You already have a product or MVP
  • You are using AI (LLMs, agents, automation)
  • You feel things starting to break under growth
If everything is smooth — you don't need me.

02 How I Work

STEP 1 (1-5 DAYS)

Audit

I go through your system and show you exactly what will break.

STEP 2 (2-4 WEEKS)

Fix Phase

We fix the highest-risk issues fast.

STEP 3 (OPTIONAL)

Fractional CTO

I stay involved to make sure you don't recreate the same problems.

hard_truth.sh

> Analyzing most AI startups...

> WARNING: Critical architectural flaws detected.

Building on top of APIs they don't control: TRUE

Evaluation system exists: FALSE

Cost discipline enforced: FALSE

Architecture status: FRAGILE

> That works — until it doesn't. █

What You Get

  • → A system that survives growth
  • → Lower infrastructure costs
  • → Faster development without chaos
  • → Clear technical roadmap

// PRICING

Audit $2k–$5k
Fix Phase $10k–$30k
Fractional CTO $10k / mo

Your biggest risk is not your idea.
It's your system.

Send me your architecture.
I'll tell you what's broken.

// FASTER_ROUTE:
Ping me directly on Telegram ↗