One operator. One agent fleet.
~424,000 lines of real code.
This is the engineering story behind CloviTek: how one founder directs a fleet of specialized AI build-agents to research, design, build, verify, and ship software — and the knowledge layer that lets every build make the next one faster. The build-cost and line-count figures below are proof points from our own ledger, not a pitch-deck estimate.
What the fleet has actually produced
Pulled from the build ledger and a live sweep of our own repositories — not round numbers. Token counts and build-minutes are measured per-agent telemetry; dollar figures are tagged estimates or accounting-grade totals as noted.
$57K to build the whole factory
Not a fundraising estimate — the real, reconciled all-in cash spend, from the filed LLC P&L and the founder's own card statements. Presented here as a build-cost proof point, not a per-unit cost breakdown.
2025 — booked (LLC P&L)
Filed opex across tooling and subscriptions for the year. accounting
2026 — card, year-to-date
Measured from card statements; still growing as the year continues. card statements
Cash to date
2025 booked + 2026 card year-to-date — a bootstrapped build, not a funded burn. measured
Cash + founder time
Adds an estimate of founder sweat-equity on top of the cash figure above. time estimate
424K lines, counted transparently
Own code only, across named repository roots — vendored libraries and dependencies are excluded and never claimed as ours.
Counted live over named repo roots, excluding node_modules / dist / vendored dependencies.
Agents read from it. Agents write back to it.
Not just code — measured, embedded knowledge bases the fleet consults before it builds and updates after it ships.
Every build moves through the same gated pipeline
An idea is scoped, built by specialized agents, verified against a quality gate, and shipped — the same loop that produced this page.
One operator, specialized agents, a shared knowledge layer
A simple architecture: an orchestrating operator dispatches specialized build-agents; agents read the shared knowledge layer and emit products and data — which feed back into that same layer.
Three layers powering 63+ products
63 distinct products & platforms built on the same engine
The stack, as detected
Real, currently-running technologies powering the fleet — no vaporware.
What an afternoon builds
Agents logged in a single recent work window — measured straight from the build ledger, not a marketing claim.
A few of the agents in that window
Build-ledger subset above is tracked agent tasks only. Across 108 Claude Code sessions: 163M tokens processed. cost is an estimate
The optimization loop runs on this site too
Our own accessibility and performance checks run against clovitek.ai itself. We show before/after only where we have the receipts.
Unoptimized baseline
Heavier render, unaddressed accessibility gaps — flagged by our own harvester.
Optimization KB applied
Verified-safe performance, accessibility, and SEO fixes applied from the KB.
Sourced, not invented
Every figure on this page comes from a re-runnable metrics collector reading real sources: the agent build ledger (measured per-agent telemetry), a live probe of public product URLs, a repo-code sweep, and live entry counts of the knowledge-base stores. Anything the collector can't measure with confidence is flagged rather than invented.
Provenance tags: Measured = real telemetry or a live count. Estimate = derived (e.g. dollar cost from tokens × a blended rate). Indicative = counts of our own code over named roots only. Same standard used on Our Fleet.
Every number on this page is real. Talk to the founder.
One founder, one shared intelligence layer. The same engine that built this page can build the next one.