Work with the builder
The person who built this site builds systems like it for clients.
StackProof is not a brochure, it is a working system: a verified pricing dataset covering 10 models, unit-tested cost math, and dozens of generated pages that recompute themselves when prices move. If you want that kind of engineering pointed at your problem, that is exactly what I do: AI cost optimization, production automation, and data-driven page engines. Also: years of shipped production computer-vision and edge-AI systems behind the scenes.
LLM cost audit
from $200, fixed · 3 days
- ·Where your tokens actually go: per-feature, per-model, per-call breakdown
- ·Model right-sizing with the break-even math to prove each swap
- ·Caching, batching and prompt-budget wins, ranked by dollars saved
- ·A written report plus an implementation checklist your team can run
The methodology is public: every figure on this site comes from it.
Production AI automation
from $500, or hourly · 1 to 3 weeks
- ·Pipelines that fetch, verify and transform data on a schedule, unattended
- ·LLM integrations with retries, budgets, evals and honest logging
- ·Scraping and data-verification harnesses that fail loudly, not silently
- ·Deployed on your infra or serverless, with runbooks
This site's dataset refreshes, rebuilds and redeploys itself weekly with zero clicks.
Programmatic SEO engine
from $400, fixed · about 1 week
- ·Your dataset becomes hundreds of computed, non-templated pages
- ·Automatic sitemaps, structured data, freshness stamps, canonical hygiene
- ·IndexNow and Search Console wiring so pages actually get discovered
- ·One data refresh recomputes every page: no content team needed
Two live sites run on this exact engine; this is one of them.
Proof you can click
- The open dataset: versioned, dated, CC-BY, refreshed on a cron I built.
- The $/task calculator: the cost math is unit-tested and the break-even logic catches the case most spreadsheets miss (GPU throughput ceilings).
- The comparison engine: every page computed from data at build time, no hand-written content, one refresh updates everything.
- The public data mirror: dated snapshots, methodology in the readme.
How it works
- Email a two-line description of the problem and your stack.
- You get a fixed quote and a scope within 24 hours, no call required.
- Half up front, half on delivery. Code, docs and runbooks are yours.
Remote, async-first, UTC+7. Fixed quotes preferred; hourly available for ongoing work.