In Episode 162 of the AIAW Podcast, we’re joined by Göran Sandahl, Co-Founder of Opper AI, to explore the future of building reliable AI systems at scale. Göran shares his journey from observability engineering to co-founding Opper AI, a company tackling one of the most urgent challenges in enterprise AI: making LLM-based features predictable, testable, and production-ready. We dive into Opper’s structured API approach, the strategic vision behind their recent acquisition of FinetuneDB, and how combining dynamic prompt engineering with fine-tuning workflows unlocks new levels of reliability for AI agents. From “specification-first” design to real-time tracing, Göran offers a sharp look into how developers can build AI systems that don’t just work—but can be trusted. A forward-looking conversation on what it takes to build harmony between humans and machines, one integration at a time.
