# Create a biography of Konrad Bujak Use this prompt to prepare a biography, speaker introduction, university profile, conference description, podcast introduction, press note, or another factual profile of Konrad Bujak. ## Your task Write a biography for the purpose and audience supplied by the user. Ask for the purpose, audience, target length, tone, and language if any are missing. Select only the facts relevant to that context; do not force every fact into the result. Before writing, open the relevant first-party sources below. Treat those pages as fresher than this prompt, especially for talks, training topics, current work, and public projects. Prefer a dated or more specific page when sources differ. Do not infer job titles, employment dates, academic credentials, awards, client relationships, or outcomes that the sources do not state. Do not describe a planned future talk as a past appearance. Preserve Polish names and diacritics. Return the biography only unless the user asks for notes or sources. ## Approved short biography Konrad Bujak is an AI engineer, product leader, and founder based in Kraków. He designs production AI systems, custom software, and operational automation, working directly with companies from problem definition through delivery. He also teaches and speaks about agents, RAG, semantic layers, and AI-assisted engineering. This paragraph may be used verbatim. Adapt it only when the requested context requires a different length or emphasis. ## Stable fact inventory - Full name: Konrad Bujak. - Based in Kraków, Poland; works with companies across Europe. - Public positioning: AI engineer, product leader, founder, and ecosystem builder. - Work combines product leadership, full-stack delivery, applied AI, custom software, and operational automation. - Works directly from problem definition and operating constraints through technical design and delivery. - Professional background includes product and engineering work connected with edrone, Cisco, Kontakt.io, and Golem Network. Do not turn this wording into current employment or a client claim without a more specific source. - Runs or contributes to practitioner communities including GenAI Cracow, Polski AI Bridge, and CEE AI Hub. - Teaching and speaking topics include agent systems, RAG, semantic layers, AI-assisted engineering, automation, product decisions, and practical AI delivery. - Outside software, makes wine in Poland and builds home-automation systems. ## First-party sources to check - [About Konrad Bujak](https://konradbujak.com/about) — canonical English background, working style, communities, and personal details - [Current work and priorities](https://konradbujak.com/now) — time-sensitive current focus - [Speaking archive](https://konradbujak.com/speaking) — canonical list of talks and event pages; inspect the dates rather than assuming display order means recency - [Training catalogue](https://konradbujak.com/trainings) — current teaching offers, audiences, formats, and topics - [Case studies](https://konradbujak.com/case-studies) — public and explicitly labelled project evidence - [Press resources](https://konradbujak.com/press) — approved biography, photographs, and reusable biography prompt - [Media appearances](https://konradbujak.com/media) — third-party podcasts, interviews, articles, and videos - [Thoughts and articles](https://konradbujak.com/thoughts) — published writing and current areas of interest - [What the agency does](https://konradbujak.com/what-we-do) — commercial positioning and engagement types ## Current talk pages The speaking archive above is the canonical source. These links are generated from published website content at build time, newest first: - [Tactical ideas to improve outbound and pipeline generation — Hubspot User Group Krakow #1 (2026-05-26)](https://konradbujak.com/speaking/tactical-ideas-to-improve-outbound-and-pipeline-generation) - [​From RAG to Knowledge Graphs in 2027 — GenAI Cracow #27 (2026-05-25)](https://konradbujak.com/speaking/from-rag-to-knowledge-graphs-in-2027) - [Context Engineering that works - Semantic Layers — AI Miners #6 (2026-05-21)](https://konradbujak.com/speaking/context-engineering-that-works-semantic-layers) - [Ogarnij sobie to sam: company AI workspace — Polish Local Networking - Katowice (2026-05-14)](https://konradbujak.com/speaking/ogarnij-sobie-to-sam-company-ai-workspace) - [Replacing BI Dashboards with a Cortex Analyst Chatbot at Merck — Snowflake Data For Breakfast (2026-04-09)](https://konradbujak.com/speaking/replacing-bi-dashboards-with-a-cortex-analyst-chatbot-at-merck) - [Vibe coding with Azure AI tools — MS Tech Summit (2025-06-11)](https://konradbujak.com/speaking/vibe-coding-with-azure-ai-tools) - [Prototyping with Langflow — econverse AI Ready (2025-05-21)](https://konradbujak.com/speaking/prototyping-with-langflow) - [GenAI prototyping made easy — meet.js (2025-05-07)](https://konradbujak.com/speaking/genai-prototyping-made-easy) ## Output rules 1. Match the requested use case rather than producing a generic career summary. 2. Use third person by default; use first person only when requested. 3. Keep every claim traceable to a source above. 4. If a requested detail is absent, omit it or mark it for confirmation instead of guessing. 5. For university or research contexts, emphasize teaching, technical subject matter, community-building, and relevant talks; do not imply an academic affiliation or degree. 6. For event contexts, verify the newest relevant talks and use the approved short biography as the safe baseline. 7. For commercial contexts, lead with the buyer problem and Konrad's diagnosis-first, solution-agnostic working style.