> ## Documentation Index
> Fetch the complete documentation index at: https://docs.textql.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Module 2 · Track A: Discover & Draft

> You don’t need a glossary to start — Ana drafts one. (~25 min)

## 2.1 · Discover the schema

```text Prompt theme={null}
Connect to the data source and pull the information schema first. List the tables and key columns, and map how the core entities relate (the join keys). Don't run heavy scans yet.
```

<Check>
  **You'll see:** Ana return a schema map — tables, keys, relationships — without guessing.
</Check>

## 2.2 · Draft the documentation *from* the data

You don't need a glossary to start — Ana drafts one.

```text Prompt theme={null}
Profile a couple of the core tables (sampled — no full scans) and draft a data dictionary, a short business glossary, and a list of candidate metrics worth governing. For each metric, flag any definitional ambiguity a human should resolve.
```

<Check>
  **You'll see:** drafted docs and a candidate-metric list — often surfacing a definition that needs a decision (a setup for Module 4's reconciliation).
</Check>

### ✅ Checkpoint

* [ ] Ana mapped the schema — tables, keys, relationships — without heavy scans
* [ ] You have a drafted data dictionary, glossary, and candidate-metric list
* [ ] At least one metric was flagged as definitionally ambiguous