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Welcome to the LMM Labs Technical Articles page, your gateway to cutting-edge insights and analyses created in collaboration with generative AI. Our content is the product of a unique partnership between our in-house experts and advanced AI models, blending human expertise with machine efficiency to generate articles on a wide range of technical topics. The page serves as a hub for thought leadership and innovative thinking, providing accessible, engaging, and detailed insights to help you navigate the complex landscape of contemporary technology. Whether you’re a seasoned tech veteran or just starting your journey, our AI-enhanced articles offer something of value for everyone. Dive in to enrich your knowledge, stimulate your thinking, and stay ahead of the curve in a rapidly evolving field.

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Latest · October 17, 2026 · Making AI Work — Article 1 of 3

Surveying the AI Landscape

Surveying the AI landscape: human direction across connected AI capabilities

A practical taxonomy connects five working areas of AI to ten implementation categories and fifty product candidates. The article explains how to read the landscape, compare products using specific criteria, and turn a business objective into a focused shortlist. It opens the Making AI Work trilogy on moving from technology choices to a system blueprint and a make-or-buy decision.

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October 4, 2026 · LMM Labs weekly article

LMM Labs: An Early-Stage Case Study in Human-Orchestrated AI Acceleration

A two-person team developed 14 functioning application prototypes in 30 days—from ideation through design, implementation, and testing, with 12 deployed to Azure and the final two ready to deploy. These applications perform real tasks—from evaluating stocks to finding wines and pairing them with food—and provide a working foundation for continued enhancement. This elapsed-time milestone captures the speed of our human-orchestrated, agent-assisted approach. The case study examines Codex agents, iterative prototyping, testing, and automated deployment alongside published research.

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