Org card: wai the whale, current tagline and one-liner

README.md

@@ -6,20 +6,28 @@ sdk: static
 pinned: false
 ---
 
-![While. AI post-training research](https://huggingface.co/spaces/while-ai/README/resolve/main/banner-while.png)
+<p align="center">
+  <a href="https://withwhile.com"><img src="https://raw.githubusercontent.com/whilehq/whileai-sdk/main/docs/assets/hero-dark.png" alt="wai, the While whale. Models improve while they work." width="720"></a>
+</p>
 
-**Turn agent mistakes into training data.** Production traces become a dataset, the
-dataset post-trains an open model you own, and a held-out test says whether the agent
-stopped repeating the mistake. The last step is the one most pipelines skip.
+<p align="center"><code>MID-TRAINING AND POST-TRAINING FOR LANGUAGE MODELS</code></p>
 
-Everything here is produced by our open-source SDK and published with the numbers
-behind it. A model ships when it beats its base on a held-out set with an interval
-that clears zero. If it does not, it does not ship.
+**Models improve while they work.** A scientific RL and SFT post-training library.
+
+While is the mid-training and post-training platform for language models. Open models, the latest SFT and RL algorithms, and an open-source SDK that builds and optimizes datasets from production traces. Every gain is measured on a held-out set.
+
+Everything here was made with the SDK and published with the numbers behind it. A model ships when it beats its base on a held-out set with an interval that clears zero. If it does not, it does not ship.
 
 ```bash
 pip install whileai
 ```
 
-**Collections** group this org by use case
+```python
+import whileai as wai
+```
+
+wai is While's whale and the alias of the whileai SDK.
+
+[Docs](https://docs.withwhile.com) | [Platform](https://withwhile.com) | [SDK](https://github.com/whilehq/whileai-sdk) | [Recipes](https://github.com/whilehq/whileai-sdk/tree/main/recipes)
 
-[withwhile.com](https://withwhile.com)
+Collections group this org by use case.