I cut what companies spend running AI at scale — and keep it reliable on the work that usually breaks.
Not generic “AI consulting.” Two focused engagements with a clear outcome: a smaller bill, and AI you can actually rely on.
Slash what you spend running AI — without giving up quality.
Make your AI behave on the complex work where it breaks.
I map where your AI spend goes and where models fail — with real numbers. You see the problem before you pay to fix it.
I design the cheapest stack that still hits your quality bar, with orchestration that keeps models reliable.
I build it end-to-end, deploy to production, and prove the before/after on cost and reliability.
Industrial-scale content automation (target 100+ videos/hour) combining motion-control workflows with automated image variation pipelines.
Multi-tenant Telegram bot infrastructure with strict tenant isolation, a sub-bot provisioning system, and multi-currency transaction tracking.
Automated lead aggregator with LLM-based relevance scoring and AI-personalized outreach generation.
Multi-account CRM with Telethon/MTProto session management, role-based access controls, and encrypted message storage.
FFmpeg-based media processing pipeline supporting 60+ transformation modes for large-scale video variation.
Multi-gateway invoicing system (Stripe, PayPal, CryptoCloud) with automated receipt generation.
David and his team are invaluable when it comes to helping us build complex workflows for AI image and video generation. He always replies fast, solves problems quickly, and is very chill to work with.
Any question about AI or engineering details — solved. David also consistently finds significantly cheaper options for AI tasks as we work. Highly recommend.
I've been searching for this AI tool for a long time, then suddenly you showed up — strong, clear vision, smooth and easy to work with. Very helpful, understandable developer, responsive, and a man of word. Thank you for everything, let's keep it up.
David helped us solve a lot of automation challenges. He takes initiative without being asked, assesses the work honestly, and fixes issues long after delivery without extra charges. He genuinely solves the problem instead of just billing for it.
David Chystyi is a solo AI engineer and consultant who cuts the cost of running AI in production by 80–99% and builds production video-automation pipelines for agencies. He works by replacing expensive proprietary AI services with custom open-source pipelines at the same quality.
I audit your AI stack, find where the spend goes, and replace the overpriced parts — usually proprietary APIs or managed services — with custom open-source pipelines that hit the same quality bar. In one case a premium video-AI API at $3–5 per minute was replaced by a self-hosted ComfyUI workflow, cutting cost by 99%+.
AI reliability engineering makes AI behave on complex, multi-step production work. Instead of one large prompt that hallucinates and drifts, I re-architect the task into focused, verified stages with cross-verification, so the output stays consistent at scale.
The audit is a free 30-minute diagnostic: a review of your current AI tools and where the spend goes, the specific places you're overpaying, one to three cheaper alternatives for your use case, and an estimate of your potential annual savings. No pitch, no commitment.
Yes. I build custom AI pipelines that automate repetitive per-video editing at volume — cleanup, reframing, subtitles, and lipsync or localization. For one video agency, roughly an hour of manual editing per video became about three minutes of automated processing.
Primarily open-source models, self-hosted on cost-optimized infrastructure — that's what removes the premium API markup. Proprietary APIs are used only where they're genuinely the best value for a specific step.
Two kinds of client: companies running AI at scale that want lower costs and higher reliability, and creative, video and content production agencies with repetitive, high-volume editing.
Find out exactly how much you could be saving on AI — and how to make it more reliable. No pitch, just a straight diagnostic.