Articles and practical notes.
In-depth explanations from MLCLabs, with worked examples and clear next steps.
MLCLabs · Full article · EnglishHow to build a knowledge assistant people can rely on
A practical guide to AI knowledge assistants: source ownership, permissions, retrieval, evaluation and a controlled first release.
7 min read · Worked example, diagram and practical checklist
Read the full article →Short field notes
Brief observations, separate from the full article above.
Field note / 01
Before you build an AI assistant
Define the task, the information boundary and the evidence of usefulness.
Read the note ↗Field note / 02A model needs a credible baseline
Know what an improvement means before comparing model scores.
Read the note ↗Field note / 03Data quality is an operating responsibility
Make quality failures visible to the people who can act on them.
Read the note ↗A clearer next stepBring the question.
Start a conversation ↗Bring the question.
Let’s examine it.
Practical tool · English · Browser-local
Find the evidence behind a knowledge-assistant answer
Try a browser-local document retrieval and citation demonstration, inspect its public sample documents and run reproducible evaluation checks.
Open the practical tool →