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2 changes: 2 additions & 0 deletions docs/core/introduction.mdx
Original file line number Diff line number Diff line change
@@ -1,5 +1,7 @@
# Wren AI

*Turn any AI Agents into world-class data analysts through the open context layer that gives AI agents grounded, governed memory, context, and SQL across 20+ data sources, that helps you build GenBI, dashboards, and agentic analytics.*

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⚠️ Potential issue | 🟡 Minor | ⚡ Quick win

Fix grammatical error with duplicate "that" clause.

The sentence has two "that" clauses modifying the same noun ("the open context layer that gives... that helps..."), which is grammatically awkward. The second "that" should be replaced with "and" or the sentence restructured.

📝 Proposed fix
-*Turn any AI Agents into world-class data analysts through the open context layer that gives AI agents grounded, governed memory, context, and SQL across 20+ data sources, that helps you build GenBI, dashboards, and agentic analytics.*
+*Turn any AI agents into world-class data analysts through the open context layer that gives AI agents grounded, governed memory, context, and SQL across 20+ data sources and helps you build GenBI, dashboards, and agentic analytics.*
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
*Turn any AI Agents into world-class data analysts through the open context layer that gives AI agents grounded, governed memory, context, and SQL across 20+ data sources, that helps you build GenBI, dashboards, and agentic analytics.*
*Turn any AI agents into world-class data analysts through the open context layer that gives AI agents grounded, governed memory, context, and SQL across 20+ data sources and helps you build GenBI, dashboards, and agentic analytics.*
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@docs/core/introduction.mdx` at line 3, The sentence "Turn any AI Agents into
world-class data analysts through the open context layer that gives AI agents
grounded, governed memory, context, and SQL across 20+ data sources, that helps
you build GenBI, dashboards, and agentic analytics." has a duplicated "that"
clause; edit the sentence to remove the redundant "that" by replacing the second
"that" with "and" or by restructuring into two clauses so it reads clearly
(e.g., change "..., that helps you build..." to "..., and helps you build..." or
split into two sentences) — update the line containing the phrase "the open
context layer that gives AI agents grounded, governed memory, context, and SQL
across 20+ data sources, that helps you build GenBI, dashboards, and agentic
analytics" accordingly.

⚠️ Potential issue | 🟡 Minor | ⚡ Quick win

Fix capitalization inconsistency.

"AI Agents" should be "AI agents" (lowercase "agents") to match the consistent usage throughout the rest of the document (e.g., line 7 "AI agents", and lowercase "agents" on lines 11, 17, 26, 28, 32, 34, etc.).

📝 Proposed fix
-*Turn any AI Agents into world-class data analysts through the open context layer that gives AI agents grounded, governed memory, context, and SQL across 20+ data sources, that helps you build GenBI, dashboards, and agentic analytics.*
+*Turn any AI agents into world-class data analysts through the open context layer that gives AI agents grounded, governed memory, context, and SQL across 20+ data sources, that helps you build GenBI, dashboards, and agentic analytics.*
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
*Turn any AI Agents into world-class data analysts through the open context layer that gives AI agents grounded, governed memory, context, and SQL across 20+ data sources, that helps you build GenBI, dashboards, and agentic analytics.*
*Turn any AI agents into world-class data analysts through the open context layer that gives AI agents grounded, governed memory, context, and SQL across 20+ data sources, that helps you build GenBI, dashboards, and agentic analytics.*
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@docs/core/introduction.mdx` at line 3, The sentence starting with "Turn any
AI Agents into world-class data analysts..." uses "AI Agents" with a capital "A"
in "Agents"; change "AI Agents" to "AI agents" to match the document's lowercase
usage of "agents" elsewhere (search for the phrase "Turn any AI Agents into
world-class data analysts..." or the substring "AI Agents" to locate the exact
line and update it to "AI agents").


<iframe src="https://ghbtns.com/github-btn.html?user=Canner&repo=WrenAI&type=star&count=true&size=large" frameborder="0" scrolling="0" height="50" title="Wren AI"></iframe>

**Wren AI is the open context layer for AI agents.** It sits between your data sources and any agent or application that needs to query them: coding assistants, internal copilots, customer-facing apps, and BI surfaces.
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