Prompt engineering has taken us far, but it’s reaching its limits. Current AI systems are fragile: prompts are brittle, agents are isolated, and orchestration often collapses into spaghetti glue code. To unlock the next leap, we need to move beyond tricks and hacks and start thinking in systems.

This talk explores a graph-native approach to reasoning and orchestration: - Knowledge Hypergraphs as context engines that capture relations, causality, and logic — the missing symbolic backbone for LLMs. - A layered reasoning model that navigates from atomic concepts through compositional reasoning, contextual integration, meta-reasoning, and finally external knowledge integration. - Graph-native multi-agent orchestration, where agents collaborate using strategies that mirror real-world organizations: sequential pipelines, hierarchical teams, debates, juries, and emergent coordination. - Agentic governance policies that provide enterprises with what they actually need: compliance, auditability, and trust.

Instead of chaining prompts, we get composable reasoning: agents dynamically choosing strategies, grounding their outputs in knowledge graphs, and collaborating under policy-driven rules.

The talk closes with a glimpse into how these ideas are being implemented in practice. I am actively building OneSys, an open-core AI operating system that embodies this architecture: the hidden conductor for the next billion AI agents.

Mattis Stene-Johansen is the founder and CEO of Rhizomatic Labs AS, a software lab building OneSys, where he is pioneering the development of an AI operating system designed to orchestrate the next billion agents.

At just 22, Mattis is a young and passionate technologist who has spent nearly half his life programming. He combines hard work, curiosity, and systems-level thinking with a deep love for his craft.

He holds a B.Sc. in Computer Science from the University of Oslo, is a Google Certified Cyber Security Professional, and is an Ex-Ethereum contributor. His background spans startups, enterprise engineering, and open-source, with a focus on building resilient, privacy-first technology.