Practical AI workflows

A practical guide for small and medium-sized organizations to classify data, sanitize inputs, control access, and review connected AI tools before use.

A practical guide to defining the task, permitted evidence, unsupported-information rules, and output format in an AI prompt.

A practical guide to turning a recurring AI workflow into a measurable, versioned regression suite, with guidance on data, grading, privacy, and release checks.

“Add citations” is not enough. This guide shows how to separate facts from inference and opinion, then review every claim-source pair before publication.

Turn a repeated AI request into a dependable workflow by defining the goal, context, output, and boundaries, then testing it before adoption.

A practical review of GPT-5.6, Gemini 3.7 Flash, and Claude Opus 5, including temporary pricing, model identifiers, safety qualifiers, and shutdown dates checked through August 23, 2026.

AI can extract discussion points and follow-up tasks from a meeting, but it cannot automatically know what the group approved. This practical workflow keeps transcripts, evidence, and human review at the center.