Your AI Agent Is Not the Product: A Reference Agent Harness Architecture for Safety-Critical Search and RescueIn one test, a real LLM gave up on a search while 88% of the probability map was still unsearched. The model was not broken. My harness (the code that wraps the model and keeps it safe) was unfinished1BOct 25 · 21 min readsmruti-rout.hashnode.dev
Context and Control: The Two Things Between Your AI Agents and a Very Bad WeekQuick Summary Most agent failures aren't "the model is dumb" failures. They are context failures (the agent knew the wrong things, or too many things) and control failures (the agent was allowed to doOct 23 · 10 min readsmruti-rout.hashnode.dev
An Architect's Field Guide for Governed AI Applications on Snowflake Cortex: RAG, Text-to-SQL and CoCo30 seconds Summary I built a single Python application (RAG_App) on Snowflake Cortex that answers two kinds of questions: Unstructured ("What does our policy say about X?") via Cortex Search (hybrid Oct 19 · 24 min readsmruti-rout.hashnode.dev
Where BERT Belongs in a 406 MHz Beacon Workflow (and Where It Doesn't)Disclaimer. Independent technical article, not an official COSPAS-SARSAT publication. Beacon-message details are simplified from the public specifications (C/S T.001, T.018, A.001); verify against curOct 19 · 28 min readsmruti-rout.hashnode.dev
Caching for AI Agents: Designing a Search-and-Rescue Platform That Works OfflineMost caching design stop at "put Redis in front of the database." That advice falls apart when your system has AI agents in the loop, a flaky network, and a user who is standing on a mountain at 2 a.mOct 17 · 19 min readsmruti-rout.hashnode.dev
