·
Why Harness Engineering Matters for Reliable AI Agents
A short note on why reliable agents need more than prompt engineering.
Blog / Notes
Research notes and engineering reflections on reliable AI systems, agents, retrieval, robotics, multimodal interfaces, and applied machine learning.
·
·
Retrieval Is Not Grounding: What Makes RAG Reliable?
Retrieval gives a model context, but grounding requires evidence selection, answer constraints, and failure-aware evaluation.
·
Agent Evaluation Beyond Task Success
Why agent evaluation should track traces, recovery behavior, tool choices, and controllability instead of only final answers.
·
Multimodal Interfaces for Human-Centered Robotics
Notes on combining gesture, voice, state machines, and feedback loops for robotics systems that feel controllable.
·
Medical AI Needs Explainable Failure, Not Only Accuracy
A reflection on why medical AI systems should report uncertainty, failure modes, and evidence rather than only predictions.
