Agentic AI

When AI agents help build a large system, conversation history cannot be the project’s memory. Sessions end. Context gets compacted. Agents change. A decision made in one conversation can disappear…

TimeSense uses an LLM, but the LLM is not the entire architecture. The system first gathers structured context: calendar commitments, tasks, routines, sleep, meals, commute signals, deadlines and…

A major product decision in TimeSense was not to make chat the primary interface. Chat is flexible, but flexibility can also create work. The user has to decide what to ask, explain context…

I took a two-week break from research, got bored, and decided to build a fun agentic AI project before getting back to work. Lately, I have been inspired by the Kryptonian robots in Man of Steel. In…