Selected projects from recent years, three different industries, one principle: I build automation as infrastructure, not marketing slides. Numbers shown are illustrative; they convey scale and impact, not exact operational statistics.
A company brain. One system connects the tools a company already runs, remembers every decision along with the reason behind it, and does the work end to end. Under the policy you set, and with a trail you can audit.
Y Combinator wants to fund it.
I turned their list of chemical and pharma companies (DE, CH, NL) into a sales tool, company by company. Out of 228 companies: 143 highly relevant, 1686 contacts found, 322 with a verified e-mail. Competitors filtered out.
My SaaS platform for technical pre-sales. Answers over company documentation that always cite their source, cryptographically verified. Vector search, tool use and escalation to a human wherever the model is not sure.
For a Czech medical e-shop I built an AI acquisition engine: it finds B2B buyers on its own, verifies them, scores them by relevance and prepares tailored outreach. The website is the client's, the sales engine behind it is mine.
Website for a family-run optician in Pilsen, eye exams, designer frames, offers and contact.
Portfolio for a fine-art and portrait photographer from Pilsen. Themed galleries with a focus on atmosphere.
Website for a car repair shop in Pilsen, services, inspections, pricing, booking and contact.
Creative studio for startups and brands, digital experiences that connect and perform.
Landing page for AI automation and integrations, from hero to call to action.
Studio for tech brands, strategy, design and development on one site.
Studio for UI/UX, branding, illustration and web, a portfolio presentation.
A clickable prototype of an AI tool for scoring marketing videos, verdict, weak-spot heatmap and top 3 fixes within two minutes.
A pitch website for the Ippa café in three languages (CZ / EN / DE). Client demo, password protected.
A proposal for a Pilsen startup building a smart ergonomic chair, showing exactly where AI helps in the product and in running the company.
A side project in development. Details coming soon.
A global logistics company processed international invoicing by hand: a team of four re-typed data between the TMS, the customs database and accounting. Every shipment waited on paperwork, 48 hours on average.
I built event-driven orchestration on custom middleware: every event in the TMS (loading, border crossing, delivery) automatically triggers data validation, customs document generation and posting to accounting. It connects to the existing systems via API, so the company didn't have to change software. People handle only the exceptions the pipeline flags for manual review.
Pipeline monitoring dashboard preview (illustrative data).
A bank's internal helpdesk received over 900 queries a day, from password resets to interpreting internal policies. Twelve operators dug through thousands of pages of documentation for answers. Public AI tools were unusable due to regulation.
I deployed a stateful conversational agent on RAG architecture, running entirely in the bank's private cloud. It was trained exclusively on internal documentation; it backs answers with source citations and hands complex cases to humans with the full conversation context.
Internal agent conversation preview (illustrative data).
A fleet-management SaaS platform was losing customers quietly: when a client stopped using the product, the team found out only from the cancellation notice. Customer success reacted late and indiscriminately.
I designed predictive middleware that reads product telemetry in real time, scores each account's churn risk and triggers graduated interventions on its own: from a personalized onboarding e-mail to a task for the account manager with a precise description of what's happening with the client.
Churn risk dashboard preview (illustrative data).
Dealing with something similar? Write to me, I'll gladly look at your case and tell you whether and how it can be automated.
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