add typewriter tiering

Author: Niall Brennan

src/protocols/apis-and-extensions/typewriter-v7.md

@@ -3,7 +3,8 @@ title: 'Typewriter v7'
 hidden: true
 ---
 
-Analytics-iOS and Analytics-Android support Typewriter v7. To upgrade to the latest version of Typewriter, upgrade to [Analytics-Swift](/docs/protocols/apis-and-extensions/typewriter/#swift-quickstart) or [Analytics-Kotlin](/docs/protocols/apis-and-extensions/typewriter/#kotlin-quickstart).
+> warning ""
+> Typewriter v7 is not actively maintained by Segment. Typewriter is available on [Github](https://github.com/segmentio/typewriter/tree/v7.4.1) under the MIT license for the open-source community to fork and contribute.
 
 ## Prerequisites
 

src/protocols/apis-and-extensions/typewriter.md

@@ -3,6 +3,9 @@ title: 'Typewriter'
 redirect_from: '/protocols/typewriter/'
 ---
 
+> warning ""
+> Typewriter for analytics.js and analytics-node will receive no new features and only critical maintenance updates from Segment. Typewriter for other libraries and SDKs are not actively maintained by Segment. Typewriter is available on [Github](https://github.com/segmentio/typewriter/) under the MIT license for the open-source community to fork and contribute.
+
 [Typewriter](https://github.com/segmentio/typewriter) is a tool for generating strongly-typed Segment analytics libraries based on your pre-defined [Tracking Plan](/docs/protocols/tracking-plan) spec.
 
 At a high-level, Typewriter can take an event from your Tracking Plan like this `"Order Completed"` event:
@@ -29,7 +32,7 @@ SEGTypewriterAnalytics.orderCompleted(
 )
 ```
 > info ""
-> Typewriter can generate clients for `analytics.js`, `analytics-node`, `analytics-swift` and `analytics-kotlin`. For use with the `analytics-ios` and `analytics-android` SDK, use [Typewriter v7](/docs/protocols/apis-and-extensions/typewriter-v7).
+> Typewriter can generate clients for `analytics.js`, `analytics-node`, `analytics-swift` and `analytics-kotlin`.
 
 These generated clients are embedded with metadata from your Tracking Plan, which contextualizes your analytics instrumentation, and reduces (or entirely eliminates!) incorrect instrumentations in your production environments. In your editor, you can access event names, descriptions, property names, types and more: