Research Notes
Technical notes, benchmarks, and source-led analysis.
RAG quality, retrieval architecture, hybrid search, reranking, and monitoring for document AI systems.
2 articles Coding agents & developer workflowsEvaluation, sandboxing, code review, security, and adoption practices for AI coding agents.
1 articles Creative, multimodal & document AICreative production, multimodal QA, document extraction, video AI, and brand-safe asset workflows.
Research brief: what agent-authored code studies say teams should measure
A source-backed research brief on AI coding agent adoption studies and the metrics teams should track before scaling developer automation.
Research brief: coding agents need security gates before broad repository access
A source-backed brief on practical security controls for AI coding agents, including sandboxing, command review, secrets handling, and dependency risk.
Multimodal evaluation guide for image, document, and video AI workflows
A framework for evaluating multimodal AI outputs with task rubrics, source evidence, human review, regression checks, and risk controls.
A RAG quality checklist before you publish a document chatbot
A research note on retrieval quality, citation behavior, freshness, and evaluation signals for teams shipping RAG workflows.