01 · 17 min · 2026-10-02
Agentic AI Explained: From Chatbots to Autonomous Systems in 2026
What agentic AI actually means, the architecture behind it, and real production examples — from a practitioner who builds multi-agent systems.
When multiple coordinating agents earn their complexity, which framework or platform to build on, and how the tool layer changed once MCP arrived.
9 guides · updated 22 September 2026
01 · 17 min · 2026-10-02
What agentic AI actually means, the architecture behind it, and real production examples — from a practitioner who builds multi-agent systems.
02 · 17 min · 2026-10-02
A comprehensive technical guide to building production multi-agent AI systems with orchestration patterns and real deployment lessons.
03 · 11 min · 2026-08-27
A practitioner comparison of LangGraph and CrewAI — from someone who has shipped production systems with both frameworks.
04 · 12 min · 2026-08-28
AgentCore, Microsoft Foundry and Gemini Enterprise compared on framework support, tooling and governance - and why the choice now turns on data gravity.
05 · 11 min · 2026-06-12
The Model Context Protocol hit 110M monthly downloads and 41% enterprise production adoption. What MCP actually is, why it won, where the security risks live, and how CTOs should adopt it — from an architect who builds on it in production.
06 · 14 min · 2026-10-15
A working MCP demo isn’t a production integration: errors, argument validation, limits, auth and usage measurement, from a connector in the Claude directory.
07 · 22 min · 2026-10-31
Prompt injection cannot be fully prevented, so an agent is only as safe as what it may do. Identity propagation, RBAC and ABAC, tenant isolation, and tests.
08 · 13 min · 2026-10-16
AI agent development services for UK companies: the agent-versus-workflow test, a five-phase delivery model, and what UK GDPR and the ICO change about autonomy.
09 · 12 min · 2026-09-09
Agentic AI development partners compared by category, with the criteria published - and the question worth asking first: do you need agents at all?
These write-ups come out of production systems rather than reading. If you are building in this area, here is how I work on it — and the benchmark results are the numbers behind the claims, including the ones that look bad.