Article Library
Practical, jargon-free AI articles built for Bharat — AI agents, RAG, vibe coding, DevSecOps, and Desh Ka AI. (The full interactive view loads shortly.)
AI Tools
Explore local-first AI for Indian contexts: enhanced privacy, lower costs, and offline access. Learn to run Whisper, MMS, and Ollama on your device.
Security
Learn how InBharat AI uses practical, low-cost red-teaming to stress-test AI features for vulnerabilities and data leaks before public release. Build safer AI.
AI Tools
Understand prompt chaining vs. mega-prompts for AI in India. Learn cost, reliability, and latency trade-offs with practical, Bharat-specific examples.
AI Foundations
Understand the Model Context Protocol (MCP) in plain English. Learn why this standard 'language' is crucial for Indian AI development.
AI Foundations
Understand embeddings in plain terms: converting data to vectors for AI. Learn about cosine similarity and when pgvector/FTS is a better choice for Indian teams
AI Tools
Building voice-first AI for India's low-end phones and patchy 4G. Learn about wake words, hands-free flows, and graceful text fallbacks for real-world use.
AI Tools
I'm building UnoOne, an offline-first Android AI agent with 'Blind Vision' for India. It uses local AI, offline voice, and secure phone control, designed for pr
AI Tools
Learn how to build multilingual LLM applications for India's diverse linguistic landscape. Practical strategies for Indic languages, script mixing, and cost-eff
AI Foundations
Learn context engineering for LLMs: selecting, ordering, and truncating context windows for practical AI apps in India. Go beyond prompt engineering.
AI Tools
Learn how InBharat AI uses intelligent model routing across Gemini tiers to optimize costs and performance for Indian AI products. Concrete examples and a routi
AI Foundations
Learn how to price AI features effectively. Reeturaj Goswami on per-request vs. per-token, handling long tails, and setting a price floor for Indian AI products
AI Foundations
Streaming LLM responses feels faster, but it's not always cheaper or better for UX. I break down the trade-offs for Indian AI apps.
AI Tools
Shipping AI features without systematic evaluation is a recipe for disaster. Learn how golden sets and regression evals ensure your AI performs as expected.
AI Tools
I discuss how AI can act as a crucial first line of defense against sophisticated digital scams in Indian tenders and public documents, offering practical insig
AI Foundations
Reeturaj Goswami explains why he's building JAK Shield, a universal AI risk firewall, to ensure AI agents act safely and responsibly, especially for India's uni
AI Foundations
Navigating fine-tuning vs. RAG for your AI product in India? This guide by InBharat AI founder Reeturaj Goswami breaks down the practical considerations.
AI Foundations
Reeturaj Goswami unveils UnoOne LEAF, InBharat's local-first AGI framework for India. Learn its architecture, offline capabilities, and impact on diverse applic
AI Foundations
Reeturaj Goswami explains how neural networks power AI, why Indian engineers need to understand them for practical deployment, and how to build and optimize AI
Engineering
Learn how harness engineering secures AI agents in production, featuring a deep dive into the JAKSwarm.com orchestration and risk-gate architecture.
InBharat
Desh Ka AI is AI built in India, for India, by Indians—not "sovereign AI" but open, private-sector-led, and globally competitive. What makes AI Desh Ka and why it’s a global advantage.
InBharat
Why InBharat builds an ecosystem of twelve connected AI products—agentic search, interactive storybooks, a company OS, a personal AI OS, a field health app, education tools, a WhatsApp bot, decision intelligence, agent observability, social automation, and a developer installer—for India’s interlocked problems.
Security
Your app rests on hundreds of dependencies and build tools—each a target. SBOMs, dependency scanning, signed commits, and locked-down pipelines that catch compromise before production.
Security
DevSecOps weaves security into development so it stops being a gatekeeper. Core principles, shift-left, open-source tools, and how Indian teams ship secure features at startup velocity.
DevOps
IaC defines servers, networks, and databases in version-controlled code. Benefits, declarative vs imperative, disaster recovery, secrets, and the cost wins for Indian AI startups.
Engineering
CI/CD automatically builds, tests, and deploys every code change. How the pipeline works, why small frequent deploys are safer, and the security scans that block bad code before production.
AI Foundations
Generative AI creates new content—text, images, audio, code, video—by predicting what comes next. How it works, what it can do, the real costs, and why it matters for India.
AI Tools
Prompt engineering is writing precise specifications for AI. Core techniques, the India-specific angle, and how to build it as a team capability with a shared prompt library.
AI Foundations
Agentic AI is autonomous AI that initiates actions and adapts in real time. How it works in layers, the five agent types, and why it lets India scale quality across hundreds of millions of users.
AI Tools
Vibe coding builds software from natural-language intent. How it works, the tools, the risks, and why it lets Indian domain experts turn ideas into working prototypes in hours.
AI Foundations
Retrieval-Augmented Generation grounds LLM answers in your own documents via semantic search. How RAG works, why it matters for Indian compliance and support, and how to build it right.
AI Foundations
What an AI agent really is, the five agent types, and why autonomous agents matter for Indian engineering teams operating at UPI, Aadhaar, and IRCTC scale.