Deep dives into Agentic Architecture, LLM Systems, and Enterprise AI.
How we structured a scalable DAG of 15+ specialized agents to automate complex financial audits, reducing processing time by 80% while maintaining compliance.
Implementing semantic caching and hybrid search to reduce API costs by 60% without sacrificing retrieval accuracy.
Why LLM-as-a-judge is the only scalable way to monitor production systems, and how to calibrate it against human baselines.
An analysis of current capabilities, limitations, and near-term opportunities for enterprises adopting autonomous workflows.
A practical guide to deciding when to inject knowledge via context window versus when to adapt model weights directly.