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Ideas you can put to work

Understand the system.
Then choose the tools.

A practical education in LLMs, RAG, MCP and agentic AI. Follow the evidence, explore the architecture, and learn how to approach the problems that matter at work.

From a problem to a defensible decision
01

Understand the problem

People, evidence, constraints

02

Choose an approach

Rules, retrieval, tools or agents

03

Design the boundaries

Permissions, cost, recovery

04

Prove that it works

Evaluation, failure cases, review

Start with a business problem

Use Cases ↗

Work through document-heavy and operational challenges, from invoice exceptions to controlled agent systems.

Understand a concept

Articles ↗

Clear explanations, original diagrams and deeper engineering detail, connected to the cases where they matter.