NNJinnjraman.hashnode.dev·Apr 11 · 30 min readThe Architecture of Agency:A Deep Technical Guide to Agentic AI Systems in 2026 How autonomous AI agents actually work - from memory primitives to multi-agent orchestration, tool calling, and the unsolved problems nobody talks00
NNJinnjraman.hashnode.dev·Dec 23, 2025 · 6 min readThe Bowser Cycle: Predicting Market Crashes Through 160+ Years of Pattern RecognitionUnderstanding the Historical Pattern The Bowser Cycle represents one of the most fascinating long-term market pattern analyses, tracking market movements from approximately 1850 to 2025. This cyclical model suggests that markets move in predictable 1...00
NNJinnjraman.hashnode.dev·Dec 17, 2025 · 13 min readThe Hidden Flaw in AI Agents: Why Your “Reasoning” Model Can’t Actually ReasonNew 2025 research reveals that AI agents can describe perfect solutions they can’t actually execute — and it’s breaking production systems The $50,000 Bug That Shouldn’t Exist Sarah’s e-commerce startup had just deployed their new AI customer servic...00
NNJinnjraman.hashnode.dev·Dec 16, 2025 · 5 min readHow Quant Models Flagged the 2008 Crash — And What the Same Math Says About the AI BubbleA Hashnode deep‑dive using real statistical signals, probability math, and historical accuracy — no hindsight narratives. Why This Article Exists Most posts say “2008 was obvious” after it happened. Engineers and quants care about a harder question:...00
NNJinnjraman.hashnode.dev·Dec 15, 2025 · 6 min readOptimizing AI Systems: A Practical Framework for Reducing Latency and Cloud CostsAI Model Efficiency, Cloud Resource Management, Deployment Strategies, and Performance Metrics Summary Organizations deploying AI solutions often default to using large language models (LLMs) for all tasks, regardless of complexity. This approach res...00
