Research & Deep Dives
Research papers, reports, scenarios, and technical findings translated into practical implications for builders and operators.
Open Research & Deep DivesEpicure shows how ingredient embeddings can become navigable tools for cooking, menu design, and food AI. The system turns flavor relationships into controllable dimensions for substitution, exploration, menu planning, and creative composition rather than returning another opaque ranking.
SkillOpt treats reusable agent skills as operating assets that can be trained, validated, and reused. It shows how procedural instructions can be optimized against tasks, checked for regressions, and distributed with evidence.
Constraint decay explains why AI coding agents struggle when backend work carries real architectural and database rules. The paper traces how requirements fade across long trajectories and proposes stronger constraints, memory, and verification.