AI Master Podcast – Ondřej Chrastina: Building the Future of Content Editing with AI

In this episode of the AI Master Podcast, I’m joined by Ondřej Chrastina, Developer Advocate at CKEditor and an experienced Developer Relations leader with over 12 years of hands-on and leadership experience in building outstanding developer experience for complex platforms.

Ondřej shares his professional journey — from QA engineering and software development, through building internal tooling and SDKs, to establishing and leading Developer Relations programs at companies such as Kentico, Kontent.ai, Ataccama, and now CKEditor. We talk about how deep empathy for developer pain points shapes better products, tooling, and documentation.

A large part of our conversation focuses on CKEditor 5 — its modern, extensible architecture and the challenges of using rich-text editors in today’s web applications. We explore how generative AI and large language models can meaningfully enhance content editing, turning editors into intelligent assistants rather than passive tools.

Ondřej explains practical AI use cases such as content suggestions, summarization, auto-formatting, review workflows, and AI-assisted collaboration. We also go deep into the technical and product challenges of embedding AI into editors: latency, context management, hallucinations, prompt engineering, safety, and maintaining full user control — especially in enterprise environments where privacy, data governance, and GDPR compliance are critical.

We also discuss the future of rich-text editors in an AI-driven world, the role of open source and community contributions, multilingual challenges, and which AI advancements (embeddings, RAG, multimodal models) are most exciting for the next generation of editor experiences.

To wrap up, we switch to a more personal perspective — continuous learning, staying motivated as a software engineer, productivity, travel, and a few lesser-known facts about Ondřej.

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Key topics covered in this episode:

• Architecting AI-powered features in rich-text editors while preserving user control

• Integrating LLMs into editors: latency, context size, and hallucination challenges

• Prompt engineering patterns for editor-based AI workflows

• Privacy, GDPR, and data governance in enterprise-grade AI integrations

• The future of rich-text editors as intelligent, collaborative assistants

Links mentioned in the episode:

CKEditor AI

Meet your app’s new AI co-writer. Easily integrated, full-featured AI writing assistant for your application.

Discover CKEditor AI features that help you write, edit, and improve content faster — including AI Chat with chat history, AI Quick Actions, and AI Review.

👉 https://ckeditor.com/ckeditor-5/capabilities/ai-features/?utm_campaign=ckeditor_podcast_ai_master_podcast&utm_source=podcast_description&utm_medium=referral

CKEditor Docs

Master CKEditor 5 — customize it, build powerful plugins, and create your own editors. Ask AI to get started faster!

👉 https://ckeditor.com/docs/ckeditor5?utm_campaign=ckeditor_podcast_ai_master_podcast&utm_source=podcast_description&utm_medium=referral

CKEditor Builder

Pick your preset (AI-recommended), choose your features, generate your editor, and start hacking away!

👉 https://ckeditor.com/ckeditor-5/builder/?utm_campaign=ckeditor_podcast_ai_master_podcast&utm_source=podcast_description&utm_medium=referral

Guest: Ondřej Chrastina

Developer Advocate, CKEditor

🌐 Website: https://ondrej.chrastina.dev/

💼 LinkedIn: https://www.linkedin.com/in/ondrejchrastina/

💻 GitHub: https://github.com/Simply007

This episode is a must-listen for developers, DevRel professionals, and product teams interested in AI-powered content creation, developer tooling, and the future of web editors.