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
Analysis of Gartner's prediction that conversational AI will save $80 billion in contact center labor costs by 2026, with ROI calculations and implementation roadmap.
Hands-on CrewAI tutorial covering agent definitions with roles, goals, and backstories, task creation, sequential and hierarchical processes, and delegation patterns.
Data-driven analysis of enterprise AI agent adoption showing 327% increase in multi-agent systems, the shift to domain-specific agents, and measurable business results in 2026.
Deep dive into event-driven patterns for AI agent coordination: pub/sub messaging, dead letter queues, exactly-once processing with NATS, Kafka, and Redis Streams.
Deep technical guide to hierarchical agent design with triage routing, specialist handoffs, and supervisor oversight patterns including code examples with OpenAI Agents SDK.
Build AI agents that leverage knowledge graphs for structured reasoning using Neo4j, entity extraction, relationship traversal, and graph-augmented generation techniques.
Deep dive into Meta's AI ad agents that run campaigns end-to-end — from creative generation and audience targeting to bid optimization and WhatsApp Business automation.
Deep dive into MCP's 2026 roadmap covering stateful session management, horizontal scaling, SSO-integrated auth, audit trails, and the SEP governance process.
Technical comparison of NVIDIA's NemoClaw enterprise platform vs OpenClaw open-source for AI agent deployment — covering security, policy enforcement, and architecture tradeoffs.
