Blogs

From Markdown inputs to load-balanced LLM endpoints, this guide walks through key lessons learned while taking a financial AI prototype into production. Learn how structured prompts, JSON validation, exponential backoff, batching, observability tools, and smart frameworks like LiteLLM can transform your system into a scalable, resilient AI service.

LLM interoperability isn't just swapping APIs—each model has unique quirks. True agility demands rigorous testing, not plug-and-play hype.

Transform raw PDFs into structured Markdown to boost LLM accuracy in extracting actionable data from complex, tabular documents.