Learn from the source, then go deeper.

Video lesson

Understanding is the new bottleneck — Geoffrey Litt, Notion

Video lesson

Forward-Deployed Engineering: Platform, Outcomes, and Adoption

A source-grounded introduction to forward-deployed engineering as a model for delivering customer outcomes on a reusable technical platform.

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Agent Harnesses: From General Loops to Evidence-Driven Custom Systems

A source-grounded lesson on how agent harnesses assemble context, run tools, specialize workflows, and use private evals plus observability to improve the model, context, or harness.

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Why Agentic Systems Need Ontologies

A source-grounded lesson on pairing probabilistic LLM agents with formal ontologies, graph representations, and validators so flexible generation and action planning can be checked against domain-aware rules.

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The Next Bottleneck: Scaling Forward-Deployed Engineering with AI

A source-grounded lesson on why customer-specific business understanding is the next bottleneck for AI deployment, and how forward-deployed engineering, specialized agents, and enterprise platforms can scale that work.

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Closed-Loop Multimodal Evals: From Routing to Marketplace Feedback

A source-grounded lesson on building a production multimodal image-enhancement system with selective routing, bounded editing, layered QA, offline human alignment, online drift correction, and marketplace feedback.

Video lesson

Agentic SDLC at Uber: A Managed Software Factory

How shared model, tool, runtime, skill, context, and assistant layers connect ideation, coding, validation, review, and maintenance while preserving guardrails and feedback loops.