Insights

Insights for practical AI adoption.

Ideas, examples, and implementation thinking for people who want AI to become useful in real work, not just another set of tools to chase.

Testing your AI assistant: what to watch for and what to do with what you find

Testing your AI assistant: what to watch for and what to do with what you find

Testing your AI assistant: what to watch for and what to do with what you findNino Giambalvo
Published on: 06/05/2026

Testing an AI assistant means running it on real work, spotting friction, and turning what you find into targeted improvements. Here is what to watch for and how to structure the review.

Learning AI
A Practical Guide to Building an AI Assistant That Saves You Hours

A Practical Guide to Building an AI Assistant That Saves You Hours

A Practical Guide to Building an AI Assistant That Saves You HoursNino Giambalvo
Published on: 20/04/2026

A practical guide to building an AI assistant around one real workflow. Start with a repeated task, define the role, add the right context, and build a first version you can actually use.

Learning AI
Anatomy of an AI Assistant

Anatomy of an AI Assistant

Anatomy of an AI AssistantNino Giambalvo
Published on: 13/04/2026

An AI assistant is not a prompt. It is a small system with configuration, instructions, context, and guardrails. This article explains what each part does and where consistency really comes from.

Learning AI
Understanding Your Deliverables and Workflows So You Can Build AI Around It

Understanding Your Deliverables and Workflows So You Can Build AI Around It

Understanding Your Deliverables and Workflows So You Can Build AI Around ItNino Giambalvo
Published on: 06/04/2026

Most professionals produce more repeatable outputs than they realise. This article explains how to identify deliverables and workflows that are ready for structured AI support.

Learning AI