RESEARCH

Applied research for production AI systems.

Insights on agentic workflows, retrieval quality, model behavior, and vertical deployment strategy.

Agentic Pipelines

Design patterns for orchestrating multi-step workflow automation reliably.

RAG Performance

Retrieval, ranking, and citation quality tradeoffs in real production workloads.

Vertical Modeling

How domain context changes model behavior, governance, and rollout strategy.

PUBLISHED CASE STUDY

Energy-aware enterprise agent scheduling with CLIF8.

JUN 2026

Energy-Aware Scheduling in Enterprise AI Agents

A publication-style case study on adaptive complexity routing, policy-based orchestration, and practical latency, cost, and energy-efficiency tradeoffs in enterprise AI systems.

Read Case Study

UPDATES

Research notes and papers are actively published here.

Check back for new case studies, benchmark updates, and technical writeups.