Your model scored 92% on public benchmarks, but it’s failing on 30% of your real-world production tickets.

This episode breaks down the benchmark saturation paradox: why static academic benchmarks fail to predict production accuracy, how clean training data creates false confidence, and how to build a continuous evaluation pipeline from real production trace failures.

Keywords: LLM evals, benchmark saturation, model evaluation, MMLU, production AI, continuous evals, AI infrastructure, prompt engineering, edge cases

This is Maya. New episodes three times a week.

youtube.com/@mayabuildsai

Your RAG system didn't hallucinate. It retrieved an outdated document with a 0.94 similarity score and answered with total confidence.

This episode breaks down the RAG Freshness Trap: why high vector similarity scores frequently mask stale context, how embedding drift happens quietly in enterprise vector stores, why standard monitoring dashboards show green while your model lies to customers, and the exact hybrid retrieval pattern needed to enforce metadata governance.

If your retrieval layer isn't checking document timestamps at runtime, your AI is making decisions on last quarter's rules.

Keywords: RAG architecture, vector database, cosine similarity, embedding drift, RAG freshness, hybrid retrieval, enterprise AI, AI observability, LLM context, metadata filtering, AI governance, vector search

This is Maya. New episodes three times a week.youtube.com/@mayabuildsai

Hospital boards approve AI slides with a smile and almost never ask the question that reveals whether any of it is safe. Show me one real case from last month where AI touched a patient or money, and walk me through the logs. If the room goes quiet, that is the gap.

This episode covers what a good answer actually sounds like, why this belongs at the board rather than in IT, the numbers showing most boards cannot produce an audit trail, why buying from a vendor does not transfer your accountability, and how one repeated question changes what vendors bring to the table.

If nobody can show it on screen, you do not have AI strategy. You have AI stories.

Keywords: healthcare AI, hospital board, board governance, AI oversight, audit trail, clinical AI, patient safety, AI accountability, vendor risk, medical liability, CMIO, CIO

This is Maya. New episodes three times a week.

youtube.com/@mayabuildsai

Hospitals love saying they are just piloting AI agents, while those agents are already touching real patients and real money. Internally it is only a test. Externally, real people are getting real outcomes from a system nobody officially owns.

This episode breaks down why pilot is a permission slip rather than a technical description, the three blunt questions that reveal whether your agent is actually in production, the four fences a real pilot has, and why most agents drift into production without anyone deciding to put them there.

Scope, owner, logs, stop button. Without those, it is live.

Keywords: healthcare AI, AI agents, hospital AI, pilot vs production, AI governance, clinical AI oversight, AI accountability, audit trail, patient safety, AI deployment, CMIO, CIO

This is Maya. New episodes three times a week.

youtube.com/@mayabuildsai

AI scribes are saving doctors hours every week, and they can quietly rewrite what happened in the room. A patient says they had chest pain. The AI writes, denies chest pain. You sign, and now your own note contradicts the visit.

This episode breaks down why scribe errors are more dangerous than typos, the documented failure of a widely used transcription tool, and the three habits every clinician needs before they click sign: scan the red-flag negatives, watch the patterns for a week, and decide in advance what happens when it gets something serious wrong.

An AI scribe can make your notes faster. It cannot change the story you would tell in court.

Keywords: AI scribe, ambient AI, clinical documentation, healthcare AI, medical transcription, AI hallucination, note accuracy, clinician accountability, medical liability, patient safety, CMIO, medical director

This is Maya. New episodes three times a week.

youtube.com/@mayabuildsai

Every AI in healthcare 2026 talk says the same three things. Ambient scribes fix burnout, diagnostic AI catches what humans miss, predictive models save lives. All true, and all incomplete. The reliable tools are boring. The worries live one layer up, in shadow AI, model drift, and architectures never built for agents.

This episode breaks down why is it FDA-approved is the wrong first question, the three sharper questions to ask instead, and the quiet messy middle where nobody owns the day-to-day behavior.

If the answers are hand-wavy, you are betting your license on vibes.

Keywords: healthcare AI, AI in healthcare 2026, ambient scribe, diagnostic AI, shadow AI, model drift, FDA AI, clinical AI governance, patient safety, AI accountability, CMIO, medical director

This is Maya. New episodes three times a week.

youtube.com/@mayabuildsai

81% of doctors now say they use AI in their practice, and almost nobody can list where the AI is actually hiding in their own clinic. Ambient scribes, decision support, triage tools, patient chatbots. The pitch is less documentation and less burnout. The reality is that you are now responsible for systems you did not design.

This episode breaks down the moment a scribe puts something false in a note, why you can outsource typing but never responsibility, and the three questions every doctor needs to answer for every AI tool touching their practice.

You can outsource typing. You cannot outsource responsibility.

Keywords: healthcare AI, physician AI, AI scribe, ambient documentation, clinical decision support, EHR AI, clinician accountability, medical liability, patient safety, AI governance, CMIO, medical director

This is Maya. New episodes three times a week.

youtube.com/@mayabuildsai

AI agents are finally live in hospitals in 2026, and most teams have no idea what those agents actually did yesterday. One hospital wires an agent into the call center. It listens, updates the chart, and decides whether to book a visit. For a week it is magic. Then a regulator asks why the agent chose not to book a patient who called with shortness of breath.

This episode breaks down why healthcare AI agents are an operations story rather than a product story, the three things you need on paper before you deploy one, and why a system you cannot audit is a liability with a nice UI.

Not a product story. An operations story.

Keywords: healthcare AI, AI agents, hospital AI, clinical AI governance, AI accountability, audit trail, patient access, EHR AI, AI compliance healthcare, medical liability, CMIO, CIO

This is Maya. New episodes three times a week.

youtube.com/@mayabuildsai

Reddit thinks AI agents are chaos. YouTube thinks they are a solved pattern. LinkedIn thinks they are already transforming everything, and nobody there wants to show you the incident reports. If you ship agents into clinics, banks, or firms, you cannot afford to live in just one of those worlds.

This episode breaks down what each platform actually tells you, the failure pattern of living in only one, and the weekly triangulation ritual that turns three biased feeds into real due diligence on your own stack.

You do not copy the case study. You steal the safeguards.

Keywords: AI agents, agentic AI, agent failure modes, AI due diligence, deployment safety, agent architecture, evidence layer, AI governance, regulated industries, vertical AI, founder, CTO

This is Maya. New episodes three times a week.

youtube.com/@mayabuildsai

You gave your AI agents access to thirteen platforms and now your strategy meeting is everyone drowning in insights nobody can use. One agent scrapes what is trending, one clusters themes, one writes a beautiful morning deck. It feels powerful, right up until you realize the whole stack has no idea what you actually ship.

This episode breaks down the quiet failure mode of trend agents that know every platform but not your product, the three filters a useful signal agent runs first, and the one question every item has to answer before it reaches your deck.

An agent that watches everything tells you nothing.

Keywords: AI agents, agentic AI, trend intelligence, signal vs noise, market intelligence, AI monitoring, product strategy, vertical AI, AI orchestration, AI infrastructure, founder, CTO

This is Maya. New episodes three times a week.

youtube.com/@mayabuildsai