Applied AI engineering: agents, evaluation, RAG and production systems.
Anthropic's move to in-country inference for Claude on Amazon Bedrock puts data residency back at the centre of enterprise AI in India.…
humaineeti Editor
DPDP Rules notified November 2025, full enforcement by May 2027, penalties up to ₹250 crore. What the timeline means for AI training…
humaineeti Editor
Benchmark data across 100 runs shows LangGraph 2.2x faster than CrewAI and an 8-9x token spread. Plus why AutoGen entering maintenance mode…
humaineeti Editor
Agents scored only on final output pass 20-40% more tests than trajectory evaluation reveals. A practitioner guide to the three evaluation layers,…
humaineeti Editor
Eval-as-a-service exists because building a credible evaluation capability is a sustained commitment. A build-versus-buy framework that separates the generic infrastructure layers from…
humaineeti Editor
Most GenAI readiness assessments produce a maturity score and a slide deck. What separates one that changes your roadmap: five dimensions assessed…
humaineeti Editor
Industry analysis puts the RAG failure point at retrieval roughly 73% of the time. A practitioner guide to chunking, hybrid search, reranking…
humaineeti Editor
The RBI's FREE-AI report sets out seven sutras, six pillars and 26 recommendations for AI in Indian finance. What BFSI engineering teams…
humaineeti Editor
NITI Aayog's seven responsible-AI principles, and how they map to engineering practice: disaggregated evaluation, decision logging, and how the DPDP, RBI and…
humaineeti Editor
Why pure vector search underperforms on enterprise queries, and how MongoDB Atlas handles hybrid retrieval natively with $rankFusion, $scoreFusion and a $rerank…
humaineeti Editor
