RAG engineering: your problem is almost always retrieval quality
When a RAG system gives bad answers, teams blame the model. Usually the fault is upstream, in retrieval. Here is how to…
humaineeti contributor
Month: August 2026
humaineeti contributor
Data sovereignty in India: the case for keeping inference in-country
For regulated Indian enterprises, it increasingly matters not just what an AI model does but where it runs. Here is a grounded…
humaineeti contributor
Naming an AI company when every good word is already taken
Naming an AI company in 2026 means fighting for space in the most crowded naming category in tech. A short, honest case…
humaineeti contributor
Responsible AI in India: what NITI Aayog’s seven principles actually ask of you
Before the sector-specific rulebooks, NITI Aayog laid down seven principles for responsible AI in India. They remain the clearest statement of what…
humaineeti contributor
LangGraph vs CrewAI vs AutoGen: choosing an agent orchestration framework
LangGraph, CrewAI and AutoGen solve multi-agent orchestration in genuinely different ways. This is an honest comparison of the three, and how to…
humaineeti contributor
The RBI FREE-AI framework, explained for people who have to act on it
In August 2025 the Reserve Bank of India released the FREE-AI framework: seven guiding principles and 26 recommendations for responsible AI in…
humaineeti contributor
One smart agent will not save you: why orchestration is the real moat
Models keep getting better and cheaper. What does not commoditise is deciding which agent acts, in what order, with which permissions. In…
humaineeti contributor
The new enterprise MCP spec moves the hard part onto your plate
MCP is going stateless and cloud-native with the 2026-07-28 release. That makes enterprise-scale agents possible, and it hands authentication, authorization and transport…
humaineeti contributor
AI agent evaluation: why the final answer is not enough
Grading an agent only on its final answer misses most of what can go wrong. Real AI agent evaluation looks at the…
humaineeti contributor
Evaluation as a service: should you build your eval stack or buy it?
Every team shipping LLM features eventually needs a real evaluation setup. The build versus buy question for evaluation as a service is…
humaineeti contributor