PRIME PEOPLE: The Strategies Behind Extraordinary Success

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

Justin Konikow

Use Left/Right to seek, Home/End to jump to start or end. Hold shift to jump forward or backward.

0:00 | 46:56

 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.