Engineering notes from the field.
What we're learning, building, and questioning. Long-form posts from our engineering and AI teams — written for builders.
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Building Production-Grade RAG Pipelines: Lessons from 50 Deployments
Retrieval-augmented generation sounds simple in demos. Here's what actually breaks at scale — chunking strategies, embedding drift, and the reranking tricks that matter.
The Hidden Cost of Not Automating: A CFO's Guide
Manual processes don't just waste time — they compound risk. We quantify the real cost of delayed automation across finance, ops, and compliance.
From GPT Wrapper to Real AI Product: An Engineering Perspective
Wrapping an API call isn't a product. We share our framework for building defensible AI products with proper evaluation, guardrails, and feedback loops.
How We Deployed an Autonomous Support Agent in 3 Weeks
A step-by-step walkthrough of our fastest agent deployment — from scoping and data prep to production monitoring and continuous improvement.
Cloud Cost Optimization for AI Workloads: A Practical Framework
GPU compute costs can spiral fast. Our battle-tested framework for right-sizing inference, spot instance strategies, and model distillation that cuts spend 40%.