Wrap-Up - TextQL Docs

The loop you now own: orient → query → read the mount → author against the deployment’s grammar → execute-before-save → install → prove the lift. Everything in it is scriptable, which means everything in it can run in CI: lint .tql on every PR by rendering it, execute golden surfaces against a staging connector, block merge on a reconciliation failure.

The capstone

Prompt

refinery exec python 'import library; files=library.list_files(subdir=""); print(len(files), "ontology files visible");' --sandbox capstone

Then pick one recurring business question your team answers by hand, and take it through the full loop this week: governed surface, installed, reconciled, and a before/after run saved next to your golden datasets.

Where to go from here

Build Your Ontology, End to End — what to put IN the ontology (this workshop is how to ship it).
Ontology Operations — running it in production: reviews, golden suites, drift alarms.
Developer Workshop — API & MCP — the REST and MCP surfaces that pair with the CLI.
Data Quality & Validation — turning Module 5’s eval into a standing golden suite.

​The capstone

​Where to go from here

The capstone

Where to go from here