Enterprise AI infrastructure explained by someone who has seen what breaks in production. Every episode breaks down one concept that matters when you are running AI at scale in regulated industries. LLMOps. Orchestration. Governance. Compliance. Observability. The stuff between the models and the business logic that nobody talks about until something goes wrong. New episodes three times a week.
The Dual-Booked OR — Why Autonomous Schedulers Cause Race Conditions
Two surgical teams arrive at 6:45 AM for the same operating room. Both patients have fasted since midnight, both surgeons have confirmed schedules, and two autonomous AI agents booked the room at the exact same millisecond. In this episode of High-Stakes AI, Maya Lin explains why prompts fail at concurrency control, how race conditions ground hospital operating floors, and how to build deterministic distributed locks that prevent multi-agent collisions.
Runtime Agent Governance: letsaskclaire.com
Follow Maya on X: @mayabuildsai
6 Oct 2026
The 25mg Refill — Why Conversational AI Can’t Do Clinical Math
A patient messages their clinic asking for a refill on blood pressure medication, writing that they've been taking "two of my 5mg tablets." An autonomous intake bot combines the numbers, assumes 25mg, and fires the script to the pharmacy. In this episode of High-Stakes AI, Maya Lin breaks down the danger of letting language models guess clinical math, the failure of prompt-based dosage guardrails, and how to build deterministic e-prescribing gateways that freeze ambiguous orders instantly.
Runtime Agent Governance: letsaskclaire.com
Follow Maya on X: @mayabuildsai
6 Oct 2026
The $80,000 Hallucination — Why RAG Fails in Healthcare Eligibility
An AI intake agent reads a static PDF benefit brochure, tells a patient their procedure is 100% covered, and triggers an $80,000 surprise medical bill when the claim bounces. In this episode of High-Stakes AI, Maya Lin explains why retrieval-augmented generation (RAG) fails at live transactional verification, the distributed mechanics of X12 270/271 clearinghouse lookups, and how to build deterministic gateways that protect provider revenue.
Runtime Agent Governance: letsaskclaire.com
Follow Maya on X: @mayabuildsai
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