Derk Majoewskij is Senior Product Strategist at Storyblok, where he leads product discovery and roadmap prioritisation across the full product cycle. In four-plus years at the company he has worked across product management and product marketing, shipping features end-to-end from problem discovery through engineering delivery to go-to-market. He was the primary voice behind FlowMotion, Storyblok's native automation and orchestration layer built on n8n, and has been closely involved in Storyblok's AI direction including the MCP server and the Strata semantic vector layer.
The conversation starts where most CMS conversations don't: not at the platform decision, but at what happens to content after the site goes live. Derk and Chris dig into the gap between a CMS that holds content and one that actively operates it, and why that distinction is becoming the difference between brands that show up in AI-driven search and those that don't. Derk frames it directly: content used to be static and humans made every change. The shift underway moves the human into a loop where agents, automation, and semantic indexing do the operational work.
Chris walks through Dotfusion's own 140-node agentic content workflow, from AEO-informed topic selection through research, writing, governance, schema refactoring, and social distribution, all orchestrated through n8n and Storyblok. Together they cover the real upfront cost of building AI content infrastructure properly, why automation native to the CMS handles enterprise IT requirements that external tools can't, and how voice-to-content workflows are already running in production for franchise and retail clients.
Key topics include:
• FlowMotion: Storyblok's n8n-based automation layer, built natively inside the CMS with custom triggers and actions already in place. One publish event triggers translation, republishing, and a Slack notification with no external DevOps setup required.
• Strata: Storyblok's built-in vector database, in active development, that makes an entire content history semantically readable by AI tools. Essential for brands managing GEO visibility across years of published content.
• MCP Server: Storyblok's Model Context Protocol integration that connects AI models directly to a Storyblok space for natural language content operations and story updates.
• The 25x rule: Building AI content infrastructure properly takes roughly 25 times longer than writing a single post. Teams investing now build a permanent operational advantage that compounds.
• Living vs. static content: The shift from a CMS where humans manage every update to one where content is automatically updated, optimised for AI search, and made semantically available to agents while the human stays in the loop.
• Voice-to-content in production: How franchise and retail brands are using a phone, a store ambassador, and a FlowMotion governance model to turn raw floor audio into polished, on-brand content at scale.
The infrastructure decision you make now about your CMS determines whether your team is spending its time on strategy or on operations, and whether your content is visible to AI tools or invisible to them.