Steering Gemini: How I Built a "Bengaluru-Native" AI Agent with Kiro Subtitle: Moving beyond generic LLMs: A case study in Agent Steering, Context Injection, and building AI that speaks "Tanglish". The Problem: AI Has a "Generic" Problem We live in the age of Large Language Models (LLMs). They are brilliant, encyclopedic, and... incredibly boring . If you ask a standard AI about traffic in Bengaluru, it gives you a Wikipedia-style answer: "Bengaluru has significant traffic congestion." But if you ask a local, they say: "Macha, don't even think about Silk Board at 6 PM. You will age there." For the Kiro Week 5 Challenge , I asked myself a question: Can we mathematically steer a global AI model (Google Gemini) to adopt a hyper-local, culturally rich persona without fine-tuning? The answer is Namma Guide . And the secret weapon was Agent Steering . 🧠The Architecture: "The Brain" in a Text File Most develope...