Add the caveats for coming soon features.

Author: katshann-raspberry

documentation/asciidoc/accessories/ai-hat-plus/about.adoc

@@ -9,7 +9,9 @@ Raspberry Pi 5. The NPU in the AI HAT+ can be used for applications including pr
 
 The AI HAT+ is available in 13 and 26 tera-operations per second (TOPS) variants, built around the Hailo-8L and Hailo-8 neural network inference accelerators. The 13 TOPS variant works best with moderate workloads, with performance similar to the xref:ai-kit.adoc[AI Kit]. The 26 TOPS variant can run larger networks, can run networks faster, and can more effectively run multiple networks simultaneously.
 
-The AI HAT+ communicates using Raspberry Pi 5’s PCIe interface. The host Raspberry Pi 5 automatically detects the on-board Hailo accelerator and uses the NPU for supported AI computing tasks. Raspberry Pi OS's built-in `rpicam-apps` camera applications automatically use the NPU to run compatible post-processing tasks.
+The AI HAT+ communicates using Raspberry Pi 5's PCIe interface. The host Raspberry Pi 5 automatically detects the on-board Hailo accelerator and uses the NPU for supported AI computing tasks. Raspberry Pi OS's built-in `rpicam-apps` camera applications automatically use the NPU to run compatible post-processing tasks.
+
+WARNING: The Raspberry Pi AI HAT+ is not yet supported with Raspberry Pi OS Trixie. To use AI HAT+, install or stay on Raspberry Pi OS Bookworm for now.
 
 [[ai-hat-plus-installation]]
 == Install

documentation/asciidoc/accessories/ai-kit/about.adoc

@@ -12,6 +12,8 @@ The Raspberry Pi AI Kit bundles the xref:m2-hat-plus.adoc#m2-hat-plus[Raspberry
 * mounting hardware kit
 * 16mm stacking GPIO header
 
+WARNING: The Raspberry Pi AI Kit is not yet supported with Raspberry Pi OS Trixie. To use the AI Kit, install or stay on Raspberry Pi OS Bookworm for now.
+
 == AI module features
 
 * 13 tera-operations per second (TOPS) neural network inference accelerator built around the Hailo-8L chip.

documentation/asciidoc/accessories/tv-hat/about-tv-hat.adoc

@@ -15,6 +15,8 @@ Key features:
 ** DVB-T2: 1.7MHz, 5MHz, 6MHz, 7MHz, 8MHz
 ** DVB-T: 5MHz, 6MHz, 7MHz, 8MHz
 
+WARNING: The Raspberry Pi TV HAT is not yet supported with Raspberry Pi OS Trixie. To use the TV HAT, install or stay on Raspberry Pi OS Bookworm for now.
+
 == About DVB-T
 
 WARNING: The TV HAT does not support ATSC, the digital TV standard used in North America.
@@ -45,7 +47,7 @@ During the `tvheadend` installation, you will be asked to choose an administrato
 
 On another computer on your network, open up a web browser and type the following into the address bar: `http://raspberrypi.local:9981/extjs.html`
 
-This should connect to `tvheadend` running on the Raspberry Pi. Once you have connected to `tvheadend` via the browser, you will be prompted to sign in using the account name and password you chose when you installed `tvheadend` on the Raspberry Pi. 
+This should connect to `tvheadend` running on the Raspberry Pi. Once you have connected to `tvheadend` via the browser, you will be prompted to sign in using the account name and password you chose when you installed `tvheadend` on the Raspberry Pi.
 
 A setup wizard should appear.
 
@@ -63,7 +65,7 @@ Found muxes: 8
 Found services: 172
 ----
 
-In the next window, titled *Service mapping*, tick all three boxes: *Map all services*, *Create provider tags*, and *Create network tags*. You should see a list of TV channels you can watch, along with the programmes they're currently showing. 
+In the next window, titled *Service mapping*, tick all three boxes: *Map all services*, *Create provider tags*, and *Create network tags*. You should see a list of TV channels you can watch, along with the programmes they're currently showing.
 
 To watch a TV channel in the browser, click the little TV icon to the left of the channel listing, just to the right of the *i* icon. This brings up an in-browser media player. Depending on the decoding facilities  built into your browser and the type of stream being played, you may find that playback can be jerky. In these cases, we recommend using a local media player as the playback application.