Solo AI systems builder · architecture to production

Autonomous AI-agent systems, built and shipped by one operator.

I take a problem from idea to a live multi-agent system running in production. Architecture, agents, database, deploys, monitoring, all shipped by one person. No hand-off gaps, no six-week discovery, no slideware.

Content engine · live agent pipeline running in production
rewrite loop · max 3 RESEARCH STRATEGY WRITE CRITIC FACT-CHECK VISUAL PUBLISH
Shipped, not slides

Real systems, live in production.

Not prototypes and not a portfolio of concepts. Systems that run on their own, on real infrastructure, right now.

Autonomous content engine

A 10-agent pipeline on LangGraph: research, strategy, writing, an Opus critic with rewrite loops, web-search fact-checking, image generation with a vision validator, and self-publishing. Runs on cron with a reinforcement feedback loop that gets sharper every week.

LangGraph10 agentsRL feedback loopLive

Full SaaS product

A production analytics SaaS built solo: multi-tenant auth, billing and payouts, a referral system, layered anti-abuse, onboarding, two languages, and automated CRM plus ad-platform data sync. Paying customer live, shipping features most days.

Next.js 15SupabaseBilling + payoutsMulti-tenant

The stack I ship on

Next.js 15 and TypeScript, LangGraph orchestration, Supabase Postgres with pgvector for semantic search, Vercel, LangSmith tracing, Sentry. Claude, Voyage embeddings, Flux imaging. Production discipline built in: retries, guards, and observability.

TypeScriptpgvectorObservabilityCron

Operator, not just a coder

Former proprietary equities trader on NYSE and NASDAQ, so risk, statistics, and execution are native. Founder of a 10,000-customer e-commerce business with private-label products sourced direct from factories in China. I build for margin and outcomes, not for the demo.

Ex-prop traderFounder10k customers
Engagements

Ways to work with me.

Fixed-scope builds or ongoing. Every engagement ships something that runs, not a document.

Discovery & architecture
from $1,500
One week to turn your idea into a build-ready plan: agent map, data model, tech and cost breakdown, plus a working proof of the riskiest part.
Best when you're not sure what to build or what it costs.
Single agent or automation
from $3,000
One production agent or automation, deployed and monitored: a research bot, a content or outreach pipeline, a data-sync job, an internal ops agent.
Best when one repetitive process is eating your time.
MOST BUILT
Full autonomous system
from $12,000
A complete multi-agent pipeline in production, like the content engine above: orchestration, database, deploys, guards, dashboards, and a feedback loop that improves over time.
Best when you want core infrastructure, not a toy.
Fractional AI systems lead
from $4,000 /mo
Ongoing. I keep building, shipping, and hardening your AI systems month to month, embedded with your team and moving fast.
Best when you're going all-in on AI and need someone who ships.

Advisory and consulting available at $180/hr. Prices are starting points; final scope and price are set together on the first call.

How it runs

From idea to live, in four steps.

01

Map

We pin the problem, the audience, and the single job the system must do. You get an architecture and a cost model before any big spend.

02

Build in the open

I build in short cycles with you watching the real thing, not status decks. You see it work as it comes together, and steer while it's cheap to change.

03

Ship to production

Deployed on real infrastructure with cron, retries, guards, and monitoring. It runs on its own, without me babysitting it.

04

Hand over

Full code, docs, and a walkthrough. Keep it in-house, or keep me on to extend and harden it.

A good fit if

You want it live, not theorized.

Start here

Have something worth automating?

Tell me the problem in two lines. If I can build it, I'll tell you how it works and what it costs, on the first call.

Fedir Vornikov · fextop Solo AI systems builder Systems that ship, not slides