Aditya Lahiri

Explores context engineering as a new discipline that goes beyond traditional prompt engineering for LLMs. It describes it as a systematic methodology that gathers, processes, and synthesizes information from multiple sources across extended workflows to provide a comprehensive foundation for AI decision-making, particularly in Go-To-Market strategies.

Discusses how reasoning models, which think through problems rather than just following commands, are making traditional prospecting methods in sales outdated. It highlights their ability to navigate complex data, unify fragmented tools, and provide deep intelligence on prospects by acting like top-tier analysts.

Co-authored an article discussing a hybrid approach to machine learning workflows, likely drawing on his experience at AppFolio Inc. in building conversational AI and explainable AI.