I build custom tools that take the repetitive work off your team — so your people spend their time on what actually matters. I augment, I don't replace.
I don't cut headcount. I take the repetitive work off your team, so people spend their time on judgment and craft.
Not off-the-shelf SaaS — custom tools shaped to how your team already works.
The same idea, fitted to your world: e-com, media, video, education, professional services.
Projects start at $1,500. Scope and price come out of a free audit, so you know what you're buying before you commit.
I map where your AI fails and overspends — with real numbers.
I design a leaner, reliable stack that hits your quality bar.
I build it, ship to production, and prove the before/after.
Each one is a team that got faster without getting bigger. Same idea, different workflow — pick the one that looks like yours.
A London video agency sends raw lesson recordings; a pipeline cleans, reframes and AI-edits them and sends finished, brand-consistent videos back. Editors stopped doing the repetitive pass.
Lipsync and motion-control generation moved off $3–5/min proprietary APIs onto custom ComfyUI workflows — same quality, cost in cents, and capabilities the premium tools cap out on.
An autonomous engine ranks what formats win, writes posts in the creator's real voice, builds realistic visuals, and publishes to Threads on one-tap approval. From a standing-still account.
A lead-processing system on the Metra AI stack: incoming leads are enriched and scored, routed to the right place, and given a personalised first reply — so nothing sits unhandled and the team spends its time only where it counts.
A custom CRM for 150 teams that captures receipts, reconciles them automatically, and generates the reports finance used to assemble by hand.
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.
It's a free, fixed-scope review covering four things: cost (where your AI spend goes and where you're overpaying), reliability (where the system can fail silently or take down production), output quality (whether it's consistent and correct, tested with evals), and architecture (context handling, prompt and agent design, scalability). You get a written report with findings ranked by impact, concrete recommendations, and a roadmap — then we walk through it together. It starts with a short call to understand your setup and get access to what I need to review. 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.
A fixed-scope review that shows you where you're losing money, where your AI is likely to break, and what it would take to fix. Numbers, not opinions.