STACKDISCERN / INITIAL EDITION · 14 OCTOBER 2026

AI intelligence: read the evidence before the claim

A practical route from an AI announcement to a scoped evaluation, with sources, limits and decision questions kept visible.

Start with a question you can answer

Name one task and the result you need. An announcement, a benchmark score and a successful trial in your own workflow answer different questions. Keep those distinctions in your notes.

Build a small evidence record

Record the original source URL, the publication date if shown, the date you read it, the precise claim and the limits the source states. If a detail is missing, mark it unknown rather than filling it in.

Test the part that matters

Use a representative nonsensitive example, define success before testing and record failures as well as useful results. A vendor statement alone is not a hands-on evaluation.

Keep the decision reversible

Identify the person responsible, expected costs, data boundaries and an exit path before connecting a tool to business systems. This page offers preparation questions, not a recommendation to grant access.

What this edition provides

Read the original field guides and use the browser-local planning tools. This initial edition has no live news feed, independently tested product ratings, automated research collection or alert subscription.