Can Claude Code Plugins Automate Your NEPSE Forecasting Pipeline? A Step‑by‑Step Build Last quarter I spent three weeks hunting down missing holiday dates, fixing JSON schema drift, and rewriting sliding‑window splits for a NEPSE fore…
From RSS to Reel: Architecting a Self-Correcting LLM Agent Pipeline for Production Video Scripting Architecting a resilient, self-correcting LLM agent pipeline for production demands a robust schema enforcement via Pydantic and a multi-stage feed…
Real-Time Streaming Forecasts for Nepal's Stock Market: MLOps and Generative AI at Scale Yesterday I tried to run my batch‑oriented liquidity forecaster on a live NEPSE feed and watched the latency balloon as soon as the order book turn…
Beyond Basic Prompts: Engineering a Robust LLM-Powered Content Analysis Pipeline Many developers and data scientists can make basic calls to foundation models, but moving from a proof-of-concept to a production-ready system fo…