Scaling AI with context, control and confidence | Meibel

AI that works in a notebook breaks in production. Here's why and how to fix it | Meibel at the Generative AI Summit, NY Tech Week 2026. Most AI implementations hit the same wall: the initial results look promising, then complexity grows. Prompt engineering doesn't fix it. More context doesn't fix it. You end up managing an AI infrastructure stack instead of the problem you started with. Kevin McGrath, Co-Founder & CEO of Meibel, breaks down the three things every team needs to get production AI right: Context (how you prepare and route data to the model), Control (how you govern what the model sees and what it executes), and Confidence (how you measure whether outputs are reliable enough to act on, without a human reviewing every single one). This talk covers two real customer deployments: a construction marketplace processing tens of thousands of spec documents per month, and a strategic planning firm turning 30 years of consulting expertise into a repeatable AI product. Two completely different reliability benchmarks. Two different approaches to measurement. One shared framework. Watch on demand via the AI Accelerator Institute (AIAI): https://aiacceleratorinstitute.com 🌳 Meibel – the orchestration platform for engineers who need to build, run and scale AI: https://www.meibel.ai/ 📄 Find out more about our Document Intelligence: https://www.meibel.ai/document-intell... 👤 Kevin McGrath, Co-Founder & CEO of Meibel on LinkedIn:   / mcgrathk   CHAPTERS 00:00 The real problem: why companies have a throughput problem, not an AI problem 01:20 Co-pilot vs. automation: two ways to use AI in your organization 04:30 The engineering trap: how "quick wins" become infrastructure debt 08:15 Case study: Specbooks and document processing at construction scale 10:20 Case study: Toffler Associates and AI-powered strategic foresight 12:00 Context engineering: how to narrow your data set before touching an LLM 15:45 Control: governing what your model sees (and what it doesn't) 18:10 Confidence scoring: how to measure AI outputs for your specific use case 21:50 AI in production: outcomes, scale, and what actually changed Recorded live at the Generative AI Summit during NY Tech Week 2026 in New York City. #ProductionAI #GenerativeAISummit #Meibel #ContextEngineering #EnterpriseAI