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July 16, 2026 - AI Systems Open Source Platform Ran Aroussi and Six Leadership Actions Susan MacKenty Brady - School for Startups Radio

Ran Aroussi · July 16, 2026

Entrepreneur · Artificial Intelligence · Finance · Author · Leadershipin

Interview with Ran Aroussi

Podcast: School for Startups Radio

July 16, 2026

Ran Aroussi brings over 30 years of engineering experience to his work building technology that transforms complexity into utility - first in AdTech, then in finance, and now in the AI space. A self-taught engineer, he cut his teeth building systems at scale in AdTech, developing ad-serving engines that delivered over 3 billion ads daily.

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Key topicsAgent infrastructure is the next platform layerEvery major computing shift has needed a new layer: operating systems, the web, cloud, DevOps - and now, AgentOps. Ran explains how the next generation of value will come from tools that manage agent orchestration, communication, and observability. MUXI sits at this inflection point, showing how open, production-grade infrastructure will underpin the agentic AI ecosystem. How transparency and design discipline keep AI systems human-alignedAs AI agents gain autonomy, governance can’t be an afterthought. Ran advocates for clear architecture - where decision paths are traceable, interactions are logged, and reasoning can be audited. He positions MUXI as a model for how openness and structure can coexist, keeping humans meaningfully in the loop while systems grow more capable. Load Bearing — Why Production AI Agents Need a Layer That Takes the WeightRan Aroussi has built the layers other people's software runs on for 30 years, from ad engines serving 3 billion ads a day to yfinance, now installed more than 30 million times a month. Most teams treat agents as a model problem and reach for another framework, when the thing that breaks in production is everything underneath: memory, orchestration, audit trails, failure handling. He walks through what an agent-native layer has to do before autonomy is safe to ship, and why he wrote Production-Ready Agentic AI and built MUXI around declarative, inspectable configs. Listeners leave able to tell which parts of their agent stack survive real traffic, and which fail quietly.View all topics →