Show Notes
Josh and Robb get together to share a short but deep dive into agent runtime environments. Agent runtimes are the missing piece in the many AI projects out in the world that never reach production. Robb explains how runtimes allow businesses to orchestrate AI agents so they can collaborate around business objectives and drive real ROI. Runtimes also give agents access to canonical “source-of-truth” knowledge bases and tools like MCP and A2A that allow them to pull the levers of existing software. Robb and Josh discuss the major investments in time and money required to build a runtime from scratch and why finding a complete agent runtime lets organizations make quick strides with the complex technologies associated with AI.
---------- Support our show by supporting our sponsors!
This episode is supported through partnership with OneReach.ai. Experience the first complete runtime for AI agents - a turnkey private architecture and tools for building enterprise-grade agentic solutions.
Use any AI models Create guardrails for organizational alignment Equipped with enterprise grade security Avoid vendor lock-in.
OneReach.ai’s award-winning AI agent orchestration platform meets the many requirements for seizing powerful new technologies in this pivotal moment.
Interested in implementing an Agent Platform for your organization? Book a Demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e6&utm_content=1
---------- The revised and significantly updated second edition of our bestselling book about successful adoption of AI agents, Age of Invisible Machines, is now available anywhere you buy your books: Amazon — https://bit.ly/4hwX0a5
#agentruntimes #AIruntime #InvisibleMachines #Podcast #TechPodcast #AI #AgenticAI #AIPodcast #DigitalTransformation #AIDisruption #AIAdoption #FutureOfWork #DigitalTransformation #InnovationLeadership #AIInBusiness #BusinessInnovation #onereach
More from Invisible Machines podcast by UX Magazine
For twenty-five years, Ben Reason and Lavrans Løvlie have been trying to give services the design quality people already expect from a product. Everybody knows what a designed BMW feels like. Almost nobody loves their bank, their hospital, or their mortgage. A product is the contract. A service is everything before it, during it, and after you are done, and it includes the relationships people do not aspire to: tax, a prison, a claim.
Three years after The Song of Significance, Seth Godin returns to Invisible Machines on the day his new book arrives, The Knot: Problems Can Be Solved. The compression of his body of work is now a sorting tool. Most stuckness is not a lack of information, it's an entanglement—two incompatible wants held at once. Effort doesn’t help. You stay stuck until you name the pin, pull it out, and loosen the knot.
The demo works. People start depending on it. Then one morning you have to explain yesterday's decision to someone who wasn't in the room.
Three years after his first Invisible Machines visit, Don Scheibenreif returns with a sharper read on the trough: everybody knows generative AI, almost nobody has answered what it does to the business model. He led Gartner’s Autonomous Business research, the successor to digital business, and co-authored When Machines Become Customers. The through-line is that AI is a tool, the harder question is how to create value with it.
There’s a particular kind of exhaustion that hits when you’re building with AI. You’ve got the license. You’ve got the pilot. You’ve got a chat window that generates whatever you ask for. But then comes the wall—the workflow that almost works, the dependency that loops back on itself, victories that only come when you quietly move the goalposts. In this episode, we talk about how to get around the wall.