Agentic AI is changing how modern systems operate. At the core of this shift is AI agent architecture, a structured framework that allows machines to understand their environment, reason based on goals, and take independent actions. Unlike traditional …
Lessons from building a tri‑agent architecture that balances LLM intelligence with deterministic, enterprise‑grade controlContinue reading on Data Science + AI at Microsoft »
Why context engineering, memory, permissions, and recovery now separate production agents from good demos.If you spend enough time around agent builders, one pattern becomes impossible to ignore: teams are still obsessing over which model is smartest, …
Why context engineering, memory, permissions, and recovery now separate production agents from good demos.If you spend enough time around agent builders, one pattern becomes impossible to ignore: teams are still obsessing over which model is smartest, …
Memory Systems In AI AgentsContinue reading on Towards AI »
Most guides cover 4 or 5 patterns. The real landscape has over 30. Here is the full picture.Every week, someone asks me whether they need a multi-agent system. About 80% of the time, the answer is no. But knowing when to say yes, and which architecture…
The real reason AI products succeed or fail in productionContinue reading on Medium »
Why your AI system needs a traffic controller before it needs more intelligenceContinue reading on Medium »
Navigating the Challenges of MCP: From Adoption to Context Management. Did Agent Skills and CLI kill MCP?Continue reading on Towards AI »
How fifty years of linguistic research on meaning, context, and social interaction can inform the architecture, design, and evaluation of conversational AI systemsMohammed Al Meqdad, PhD · Linguistics & NLPSource: Image by AuthorIn March 2026, Nipp…