Designing Scale with AI: Coyne on Systems, Security & 2026–2027 Readiness

Everyone talks about “scaling with AI.” Few design the systems, standards, and safeguards that make scale safe—especially when the work is emotional, high-stakes, and human. In this episode, Coyne breaks down how to architect agentic AI that’s simple, secure, and actually ships—plus what leaders need to know heading into 2026–2027.  What you’ll learn Agentic AI that works: Where LLMs belong (and don’t), retry logic, rate limits, and human-in-the-loop checkpoints Security > shiny: Data hygiene, role-based access, and why “context engineering” beats prompt soup Compliance reality check: Fair housing, audits, and why brokerages need proof, not promises Tooling truth: Gemini Ultra vs. ChatGPT/Claude—when to mix, when to standardize Process before bots: Rethinking workflows, SOPs from screen recordings, and the 80/20 that moves revenue Leadership over micromanagement: Change how people think (mission/why) before changing what they do Host Justin Konikow runs Prime’s multi-market operations and experiments at the edge of humans+AI in real estate. Coyne operates at the intersection of architecture, security, and enablement, translating hype into reliable, compliant outcomes.  If this helped, subscribe, like, and drop a question—Justin will pull the best into a follow-up Q&A. Share this with a founder, broker-owner, or ops lead who needs a reality-based AI roadmap. Learn more about your ad choices. Visit megaphone.fm/adchoices