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The Engine Behind OneChair

This is how we deliver 97% faster.

OneSpark is the AI orchestration system that powers every OneChair build. Delivering production-grade software in hours, not months. Hand-crafted by our CTO across 20 years of enterprise engineering experience.

The gap nobody is filling.

Chat builders

Lovable, Base44. Fast to start, breaks in production. No backend, no architecture, no path to scale.

Traditional agencies

Six-figure quotes. Three-month discovery. Launch dates that keep moving.

OneSpark

Production-grade output. Agency standard. Startup speed. The gap between both.

If you built something in Lovable or Base44 and need it made real — this is how we do that.

Inside OneSpark

27 hours

HIPAA-compliant healthcare platform

12 hours

Hospitality booking system

33 hours

B2B sales platform rebuild

This is what OneSpark ships. Not in months. Not in weeks.

A system, not a tool.

OneSpark isn't a single AI. It's 95 specialized agents — each one focused on a specific job, each one built from documents authored by our CTO Anton Dzhanaev across two decades of running enterprise development teams.

These agents work together the way a senior team would: scope, design, build, test, verify — in parallel, under human oversight. The result is what a 5–7 person engineering team would deliver, shipped in a fraction of the time.

Traditional Agency Chat Builder OneSpark
Approach Scopes for weeks Reacts to your prompt Plans before it builds
Architecture Designed eventually None — you figure it out Designed before code is written
Output Full stack, slowly Frontend that looks like it works Full stack
Oversight Junior devs You debug Senior engineer verifies everything
Timeline 3–6 months Hours to something broken Days to weeks
Guarantee None None Contractual deadline, 5% per day late
Result Production software Beautiful prototype Production-grade software, fast

The Library

Every agent, every category.

The system spans 13 categories — from architecture and frontend frameworks to specialized domains like compliance, security, and AI integration. Each agent is a domain expert, crafted by hand. None of them are AI-generated. Browse the full library below.

Four phases. Always in this order.

01

Understand

Market analysis, competitive gap identification, product scoping. The system clarifies exactly what you're building and why — before a single line of code is written. When you see your proof, you won't be surprised by what it does.

02

Design

Architecture, database schema, API contracts, deployment topology. Every technical decision documented and locked before build begins. This is the step chat builders skip. It's why they break.

03

Build

Parallel execution. Frontend agents, backend agents, infrastructure agents, testing agents — all working simultaneously on different layers of your system. This is where the hours come from, not the corners cut.

04

Verify

Senior engineering review on every output before it reaches your codebase. AI handles the velocity. Humans handle the judgment. Nothing ships without eyes on it.

Twenty years of judgment, encoded.

OneSpark's agents aren't generic prompts wrapped around a language model. Each one is built from documents Anton authored — capturing the patterns, conventions, and judgment he developed across two decades of leading teams of up to 25 engineers.

That's the difference between a code generator and a senior engineering system:

Code generators produce whatever the model is willing to write. OneSpark produces what an experienced engineering team would actually ship.

The agents know what good architecture looks like because they were built by someone who's shipped it. They know what production-grade means because they were built by someone who's been on call for it. The judgment is in the system because the judgment was put there — deliberately, document by document, agent by agent.

"AI shouldn't replace engineers. It should scale the ones who know what good software looks like."

— Anton Dzhanaev, Co-Founder & CTO

We don't bet on a single model.

OneSpark routes work to the best AI model for each task. Not Claude-only. Not GPT-only. Not locked into any one provider's roadmap.

This matters for two reasons. Resilience — when models change, pricing shifts, or APIs deprecate, OneSpark adapts. Quality — different models excel at different things; locking into one means accepting mediocrity in half your stack.

The output never depends on what any one AI company does next.

Proof, not promises

You see it before you pay for it.

Before you sign anything, before you commit a dollar to a build, OneSpark generates a working proof of your software from your scope. Not a wireframe. Not a mockup. Working software — built from your actual requirements.

  • No agency offers this
  • Working software before you commit
  • Backed by a contractual deadline guarantee
A working proof generated by OneSpark from a client scope
A working proof, generated from a client scope.

No agency offers this. They can't afford to. OneSpark makes it possible because proof generation is fast enough to be standard practice. It's the reason our clients sign with confidence. And it's the reason we can back every build with a contractual deadline guarantee.

What OneSpark has shipped.

Every project on OneChair's portfolio runs on OneSpark.

Project What We Built Built In
WellChild HIPAA-compliant healthcare platform 27 working hours
WingmanAI B2B sales platform frontend rebuild 33 working hours
Resource Center Multi-tenant content platform 30 working hours
Cody Yellowstone Hospitality booking system 12 working hours

See full portfolio →

Ready to see what it builds for you?

Every OneChair project runs on OneSpark. Book a scope call and we'll show you a working proof of your software — before you commit to anything. Or if you'd like to be notified when OneSpark becomes available directly, leave your email below.

For Now

Hire OneChair

Every project we ship runs on OneSpark. Book a 30-minute scope call.

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For Later

Get notified when OneSpark launches

Be among the first to access the system directly.