The ML LABS Briefing

ML LABS
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Short conversations on putting AI to work: which workflow to fix first, what a build must prove and who runs it after launch. Omar Trejo, who runs ML LABS, speaks in an AI clone of his own voice opposite an AI host; episodes 1 and 2 are two AI voices. ML LABS writes every script.

Episodes

  1. Oct 5 ·  Video

    The Seven Layers Of An AI Adoption Stack

    An AI system depends on more than a model. Work through all 7 layers, from data and models up to outcomes, and the controls that sit under them, to find the layer limiting your operation before you buy the easiest one. Omar Trejo speaks in a clone of his own voice. Robert, an AI voice, asks what a buyer would ask. ML LABS writes the script. Read the article: https://mllabs.com/podcast/seven-layers-of-ai-adoption/

    The Seven Layers Of An AI Adoption Stack

  2. Sep 28 ·  Video

    Buy The Software You Can Afford To Replace

    The tools improve every few months. What you build now will need changing within a year or two. Choose software with clear ownership and a scope small enough to replace as better tools become available to your business. Omar Trejo speaks in a clone of his own voice. Reid, an AI voice, tests the assumptions. ML LABS writes the script. Read the article: https://mllabs.com/podcast/buy-software-you-can-afford-to-replace/

    Buy The Software You Can Afford To Replace

  3. Sep 21 ·  Video

    Your Team Ships More And Understands Less

    AI now writes more of your code and analysis, and nothing in the loop requires anyone to learn why the work succeeded. Keep the decisions, lessons and context your team needs to improve its systems as AI takes on more work. Omar Trejo speaks in a clone of his own voice. Reid, an AI voice, tests the assumptions. ML LABS writes the script. Read the article: https://mllabs.com/podcast/going-full-ai-without-learning/

    Your Team Ships More And Understands Less

  4. Sep 14 ·  Video

    The Savings You Announced Have No Mechanism

    The filing names the savings and the period, not the mechanism, and nobody is responsible for producing one. Turn the target into a change people can deliver, with a clear process, a named owner and evidence of progress. Omar Trejo speaks in a clone of his own voice. Reid, an AI voice, tests the assumptions. ML LABS writes the script. Read the article: https://mllabs.com/podcast/cost-savings-with-no-mechanism/

    The Savings You Announced Have No Mechanism

  5. Sep 7 ·  Video

    One Workflow Across Two Entities Before The ERP Merges

    The ERP merge is months away, and meanwhile one process runs every week across both companies on a spreadsheet and one person. Help them run it with clear records, roles and approvals before their core systems merge. Omar Trejo speaks in a clone of his own voice. Reid, an AI voice, tests the assumptions. ML LABS writes the script. Read the article: https://mllabs.com/podcast/one-workflow-across-two-entities/

    One Workflow Across Two Entities Before The ERP Merges

  6. Aug 31 ·  Video

    Keep AI Away From The Step You Can't Undo

    A wrong summary is corrected in a second; a wrong order is money gone. Let AI research and explain decisions while fixed rules control the orders and actions your business cannot undo, the way ML LABS built its CVEST.ai system. Omar Trejo speaks in a clone of his own voice. Reid, an AI voice, tests the assumptions. ML LABS writes the script. Read the article: https://mllabs.com/podcast/keep-ai-from-steps-you-cannot-undo/

    Keep AI Away From The Step You Can't Undo

  7. Aug 24 ·  Video

    Who Checks The Work When AI Writes The Software?

    Often the same system that wrote the code also decided that the code was fine. Give AI-built software an independent verifier from a different model family, clear checks and a human stop point before it reaches production. Omar Trejo speaks in a clone of his own voice. Reid, an AI voice, tests the assumptions. ML LABS writes the script. Read the article: https://mllabs.com/podcast/why-ai-coding-agents-need-separate-verifiers/

    Who Checks The Work When AI Writes The Software?

  8. Aug 17 ·  Video

    What Your Board Should Ask Before Buying AI

    A convincing AI demo can still leave open what the business is committing to operate. Test the proposal against the business outcome, the evidence, who owns delivery after release and what changing course would cost. Omar Trejo speaks in a clone of his own voice. Reid, an AI voice, tests the assumptions. ML LABS writes the script. Read the article: https://mllabs.com/podcast/board-ai-buying-questions/

    What Your Board Should Ask Before Buying AI

  9. Aug 10 ·  Video

    Why Completed Jobs Still Wait for Invoicing

    The technician has finished and the service manager considers the job closed, yet the invoice still waits. Give finance a clear record of completed field work, with the evidence and approvals it needs to prepare an invoice. Omar Trejo speaks in a clone of his own voice. Reid, an AI voice, tests the assumptions. ML LABS writes the script. Read the article: https://mllabs.com/podcast/service-to-invoice-handoffs/

    Why Completed Jobs Still Wait for Invoicing

  10. Aug 3 ·  Video

    The Pilot Worked And Nothing Depends On It

    The demonstration went well months ago, and nothing in the company would stop if it were switched off tomorrow. Move from a promising pilot to daily use by resolving the data, access, process, support and checks it depends on. Omar Trejo speaks in a clone of his own voice. Reid, an AI voice, tests the assumptions. ML LABS writes the script. Read the article: https://mllabs.com/podcast/pilot-worked-nothing-depends-on-it/

    The Pilot Worked And Nothing Depends On It

  11. Jul 27 ·  Video

    One Person On Purpose: Testing The Obvious Objection

    ML LABS is one person, and buyers hesitate to ask what happens if he stops answering. This conversation tests it: the ownership, handover and support that keep you in control when one person builds and runs your software. Robert, an AI voice, makes the operating case. Reid, an AI voice, tests the assumptions. ML LABS writes the script. Read the article: https://mllabs.com/podcast/conversation-one-person-on-purpose/

    One Person On Purpose: Testing The Obvious Objection

  12. Jul 20 ·  Video

    Which Handoff Deserves Your First Release: A Conversation

    A chief operating officer has 3 requests on her desk and the budget for only one. This conversation picks a first release by each handoff's consequence, volume and owner, with a baseline showing whether it worked. Robert, an AI voice, makes the operating case. Reid, an AI voice, tests the assumptions. ML LABS writes the script. Read the article: https://mllabs.com/podcast/conversation-which-handoff-first/

    Which Handoff Deserves Your First Release: A Conversation
  • 12 Episodes

About

Short conversations on putting AI to work: which workflow to fix first, what a build must prove and who runs it after launch. Omar Trejo, who runs ML LABS, speaks in an AI clone of his own voice opposite an AI host; episodes 1 and 2 are two AI voices. ML LABS writes every script.

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