The AI Breakdown
Similar topics: briefing and labs
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The ML LABS Briefing
by ML LABS
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Latest episodes
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The Seven Layers Of An AI Adoption Stack
October 5, 2026 · 7 minAn 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…
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Buy The Software You Can Afford To Replace
September 28, 2026 · 7 minThe 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…
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Your Team Ships More And Understands Less
September 21, 2026 · 7 minAI 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…
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The Savings You Announced Have No Mechanism
September 14, 2026 · 7 minThe 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…
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One Workflow Across Two Entities Before The ERP Merges
September 7, 2026 · 7 minThe 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…
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Keep AI Away From The Step You Can't Undo
August 31, 2026 · 7 minA 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…
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Who Checks The Work When AI Writes The Software?
August 24, 2026 · 7 minOften 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…
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What Your Board Should Ask Before Buying AI
August 17, 2026 · 7 minA 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…
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Why Completed Jobs Still Wait for Invoicing
August 10, 2026 · 7 minThe 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…
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The Pilot Worked And Nothing Depends On It
August 3, 2026 · 8 minThe 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…
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One Person On Purpose: Testing The Obvious Objection
July 27, 2026 · 6 minML 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…
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Which Handoff Deserves Your First Release: A Conversation
July 20, 2026 · 7 minA 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…
About the show
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.