What is Agentic AI? A Practical Introduction
Agentic AI systems plan, use tools and act towards a goal instead of just answering a prompt. How they work, where they help, and where they fail.
Articles
Explainers and field notes: agentic AI, quantum computing, optimization, machine learning, Industry 4.0 and the books that shaped how I think.
Agentic AI systems plan, use tools and act towards a goal instead of just answering a prompt. How they work, where they help, and where they fail.
Workflows follow code paths you define; agents choose their own steps. Five workflow patterns, a decision table, and why you should start simple.
LLMs only produce text; tools let them act. How function calling works, what MCP standardises, a minimal MCP server in Python, and the security rules.
Multi-agent systems split a goal across specialised AI agents. The main architectures, what they cost, and when a single agent is the better design.
Why AI agents suit scientific work, what makes it hard, and what we learned building El Agente systems for quantum simulation and chemistry.
Agents are non-deterministic and can act on the world. A practical guide to building evals, spotting the main security risks, and adding guardrails.
Short explainers on quantum computing, optimization, machine learning, Industry 4.0 and more.
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