diff --git a/README.md b/README.md
index 34c5683eb8..23e84eed35 100644
--- a/README.md
+++ b/README.md
@@ -140,10 +140,10 @@ The reason this works is the same reason TypeScript was the right host language:
 **an agent's errors become located, corrective text it can read and fix itself**,
 in seconds — instead of a silent runtime failure nobody traces back.
 
-The other half is size. The CRM in this repo — [`examples/app-crm`](./examples/app-crm):
+The other half is size. The bundled example CRM — [`examples/app-crm`](./examples/app-crm):
 six objects, views, a dashboard, a lead-conversion flow, permission sets, actions,
 translations — is **31 files, 1,792 lines, roughly 16k tokens**. That's the whole
-business system, in about 8% of a 200k-token context window. Count it yourself:
+example app, in about 8% of a 200k-token context window. Count it yourself:
 
 ```bash
 find examples/app-crm/src -name '*.ts' -not -name '*.test.ts' | xargs cat | wc -l
diff --git a/content/docs/concepts/metadata-driven.mdx b/content/docs/concepts/metadata-driven.mdx
index e28c6d9b54..74aa5cfb2e 100644
--- a/content/docs/concepts/metadata-driven.mdx
+++ b/content/docs/concepts/metadata-driven.mdx
@@ -211,7 +211,7 @@ React           Flutter
 
 A simple CRUD feature that takes ~300 lines of hand-written code is ~30 lines of
 metadata. But per-feature ratios are the least interesting part. Here is the
-measurement that matters — the CRM bundled in this repo
+measurement that matters — the bundled example CRM
 ([`examples/app-crm`](https://github.com/objectstack-ai/objectstack/tree/main/examples/app-crm):
 six objects, views, a dashboard, a lead-conversion flow, permission sets,
 actions, translations):
@@ -222,7 +222,7 @@ actions, translations):
 | Lines | 1,792 |
 | Approximate tokens | ~16,000 |
 
-That's the **whole business system** — about 8% of a 200k-token context window.
+That's the **whole example app** — about 8% of a 200k-token context window.
 Count it yourself:
 
 ```bash
diff --git a/content/docs/getting-started/how-ai-development-works.mdx b/content/docs/getting-started/how-ai-development-works.mdx
index 57b0c21198..6be7726fa6 100644
--- a/content/docs/getting-started/how-ai-development-works.mdx
+++ b/content/docs/getting-started/how-ai-development-works.mdx
@@ -26,10 +26,10 @@ build the thing I actually meant?*
 ## Why it's fast
 
 A typical enterprise app spreads CRUD, forms, queries, permissions, and API glue
-across dozens of files. ObjectStack keeps only the part that's yours: the CRM
-bundled in this repo — six objects, views, a dashboard, a lead-conversion flow,
+across dozens of files. ObjectStack keeps only the part that's yours: the bundled
+example CRM — six objects, views, a dashboard, a lead-conversion flow,
 permission sets, actions, translations — is **1,792 lines across 31 files, about
-16k tokens**. That's the entire business system, not a module of it.
+16k tokens**. That's the whole example app, not a module of it.
 
 The point isn't lines of code; it's **fit in an agent's context window.** When the
 entire business system is small, typed, and declarative, an agent can load it