Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
FedRAMP 20x is rolling out and Moderate-impact authorizations are the floor for federal healthcare AI. Here is the 325-control baseline and what AI voice and chat vendors need to actually achieve it.
If your agent cannot point at a source, it is just guessing. Here is how Anthropic Citations, MCP retrieval, and per-claim attribution turn answers into auditable trails.
Dollar Shave Club's automation contained only 10–12% of conversations in mid-2024 and complaint volume on cancellations stayed high through early 2026. Here is how chat agents fix men's grooming D2C in 2026.
Traditional RAG is one-shot retrieval-then-generate. Agentic RAG plans, retrieves, evaluates, re-retrieves. It costs 3-10x more tokens and 2-5x more latency — and earns it on multi-hop and ambiguous queries.
Compare Vault, Doppler, Infisical for AI agent secrets. Wire ExternalSecrets Operator on k3s, rotate OpenAI keys without restarts, and keep CI keyless via OIDC.
More than 125 customers worldwide are live on Veeva Vault CRM in 2026 with Free Text Agent, Voice Agent, and Pre-call Agent. Here is how a chat agent on top of Vault accelerates field reps, MSL teams, and PromoMats review.
A committee of weaker models can outperform a single strong one — if the aggregation is right. We compare plurality voting, weighted voting, and AgentAuditor-style minority-correct adjudication.
Crunchy Bridge ships Postgres + pg_parquet + Iceberg + warehouse engine for AI/analytics. A walkthrough of provisioning, vector index sizing, and a hybrid OLTP-plus-data-lake setup that doesn't need Snowflake.
Anthropic Citations API, OpenAI File Search, and RAGAS faithfulness ≥0.8 set the 2026 bar. Here is how chat agents emit cited spans, render hover previews, and pass enterprise audits.
