Reasoning and judgment
We are interested in how models structure ambiguity, compare tradeoffs, maintain long-horizon objectives, and produce decisions that remain inspectable.
Research
Agatha’s research agenda focuses on the systems required to make AI more complete, grounded, controllable, and usable in real work.
We are interested in how models structure ambiguity, compare tradeoffs, maintain long-horizon objectives, and produce decisions that remain inspectable.
Agatha explores retrieval, source authority, contradiction handling, evidence sufficiency, citation integrity, and the boundary between answer generation and verified knowledge.
Useful continuity requires more than storing transcripts. We are developing explicit, scoped, versioned memory systems that preserve evidence and user control.
Different kinds of work require different interfaces. We study how conversation, editorial artifacts, visual prototypes, structured workflows, and proactive notices shape useful collaboration with AI.
Generative software and visual systems should preserve coherent design languages, responsive behavior, interaction states, and approved visual contracts.
We study architectures in which models can propose plans, tools, and mutations while deterministic systems retain authority over what runs and what counts as verified.
Research status
We do not present internal product doctrine, prototypes, or unverified evaluations as published research.