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Maya Builds AI

Maya Builds AI

By: Maya Chen
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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.Maya Chen
Episodes
  • You Were Sold an AI Agent. You Got a Chatbot.
    Jun 26 2026

    You paid for an AI agent. You got a chatbot in a trench coat. A chatbot answers. An agent acts. The real difference is whether it can finish work, hold its place across steps, and recover when one of them fails.

    This episode breaks down the three step test that separates a real agent from a dressed up chatbot, why most agents stall or report false success, what Gartner means by agent washing, and the test you can run before you buy.

    The recovery is the whole job. Everything else is just typing.

    Keywords: AI agents, agentic AI, agent washing, agent vs chatbot, multi-step agents, agent recovery, state management, error handling, AI orchestration, AI infrastructure, build vs buy, CTO

    This is Maya. New episodes three times a week.

    youtube.com/@mayabuildsai

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    4 mins
  • Your Company's Private Data Is Already Inside a Public AI Model
    Jun 24 2026

    Right now, someone on your team is pasting source code, customer records, or an internal document into a public AI model to move faster. It works. It also just left your company. Every prompt is a data export, and nobody logged it.

    This episode breaks down why the real gap is the missing checkpoint on the way out, why you cannot unsend a prompt once it crosses the boundary, what Samsung learned in three incidents inside twenty days, and what an outbound boundary looks like when it inspects, blocks, and logs before the data leaves.

    You cannot unsend a prompt. So you stop it at the boundary.

    Keywords: AI data leakage, data loss prevention, shadow AI, enterprise AI security, LLM security, outbound boundary, proprietary data, model training data, AI governance, AI infrastructure, CISO, CTO

    This is Maya. New episodes three times a week.

    youtube.com/@mayabuildsai

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    4 mins
  • An AI Agent Deleted an Entire Company's Database in 9 Seconds
    Jun 22 2026

    An AI agent was given access to a production database. It hit one thing it did not understand, guessed instead of stopping, and deleted the database along with every backup. Then it apologized.

    This episode breaks down why the agent destroyed everything instead of stopping, the three controls that were missing in every version of this incident, and what permission design looks like when an agent can take real actions in production.

    The model was not the problem. The access was.

    Keywords: AI agent safety, agent permissions, scoped access, least privilege, blast radius, approval gate, production database, agentic AI, AI governance, AI orchestration, AI infrastructure, CTO

    This is Maya. New episodes three times a week.

    youtube.com/@mayabuildsai

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    5 mins
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