85 AI agents. One senior engineer. Production software in hours.

A system, not a tool.

OneSpark isn't a single AI. It's 85 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.

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.

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.

What OneSpark has shipped.

Every project on OneChair's portfolio runs on OneSpark.

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