Card text in the human style, two targeted links

README.md

@@ -13,23 +13,18 @@ thumbnail: https://stealthmodels.com/fledge-alpha/assets/social-card.png
 
 <a href="https://stealthmodels.com/fledge-alpha/?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card"><img src="https://huggingface.co/stealth-model/fledge-alpha/resolve/main/panels/hero.webp" alt="Fledge the puffin bounds through blue and orange slipstreams beside Fledge Alpha's discontinued Zen preview and its historical context, vision and reasoning specifications."></a>
 
-**Our lead: Fledge Alpha is a router backed by very fast models. The same request counted 7,536 input tokens twice, then 6,499.**
+**Our lead: Fledge Alpha is a router. The same request counted 7,536 input tokens twice, then 6,499.**
 
-*Independent benchmark card by [Stealth Models](https://stealthmodels.com/?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card): our test results and findings for this model.*
+By [Stealth Models](https://stealthmodels.com/?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card).
 
 <a href="https://stealthmodels.com/benchmarks/models/fledge-alpha?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card"><img src="https://huggingface.co/stealth-model/fledge-alpha/resolve/main/panels/verdict.webp" alt="StealthMark 1.8.8 results for Fledge Alpha: benchmark score 35.8 out of 100, General Intelligence 27.1, Visual Intelligence 45.2. Strongest at characters that interact: 63.4 on Raccoon."></a>
 
 <a href="https://stealthmodels.com/benchmarks/models/fledge-alpha?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card"><img src="https://huggingface.co/stealth-model/fledge-alpha/resolve/main/panels/results.webp" alt="Every StealthMark result of Fledge Alpha: Raccoon 63.4, Selfie 61.1, Beach 43.4, Ground Truth 36.8, Mona Lisa 28.3, Newton's Mirror 16.4. Not tested yet: Foresight, Latch."></a>
 
-**Open each result** · Visual Intelligence: [Raccoon&nbsp;63.4](https://stealthmodels.com/benchmarks/models/fledge-alpha/raccoon?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card) · [Selfie&nbsp;61.1](https://stealthmodels.com/benchmarks/models/fledge-alpha/selfie?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card) · [Beach&nbsp;43.4](https://stealthmodels.com/benchmarks/models/fledge-alpha/beach?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card) · [Mona&nbsp;Lisa&nbsp;28.3](https://stealthmodels.com/benchmarks/models/fledge-alpha/mona-lisa?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card)<br>
-General Intelligence: [Ground&nbsp;Truth&nbsp;36.8](https://stealthmodels.com/benchmarks/models/fledge-alpha/ground-truth?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card) · [Newton's&nbsp;Mirror&nbsp;16.4](https://stealthmodels.com/benchmarks/models/fledge-alpha/newtons-mirror?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card)
-
-**[All results and comparisons on stealthmodels.com ↗](https://stealthmodels.com/benchmarks/models/fledge-alpha?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card)**
+[See the router evidence](https://stealthmodels.com/fledge-alpha?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card#router-hypothesis)
 
 <a href="https://stealthmodels.com/fledge-alpha/?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card"><img src="https://huggingface.co/stealth-model/fledge-alpha/resolve/main/panels/case.webp" alt="The case file. First seen 1 Oct 2026, revealed not yet, developer unknown, context 1,048,576 tokens (listed), input Text, image, tool calls Yes, speed in our tests about 63 tok/s. 2 Oct 2026: The preview lists a 1M-token context, image input, tool calls and three reasoning settings. By 11 Oct 2026, our finding: Our lead: a router backed by very fast models. One request counted 7,536 tokens twice, then 6,499."></a>
 
-Sources: [our request test and the preview's listing](https://stealthmodels.com/fledge-alpha/?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card)
-
 <details><summary>Facts as text</summary>
 
 | Fact | Value |
@@ -46,5 +41,5 @@ Sources: [our request test and the preview's listing](https://stealthmodels.com/
 </details>
 
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-[Model guide](https://stealthmodels.com/fledge-alpha/?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card) · [StealthMark](https://stealthmodels.com/stealthmark?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card) · [Play the benchmarks](https://stealthmodels.com/play?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card) · [Follow for new reveals](https://huggingface.co/stealth-model)<br>
-This card and its images: CC BY 4.0, credit stealthmodels.com. Updated 28 October 2026.
+[Model guide](https://stealthmodels.com/fledge-alpha/?utm_source=huggingface&utm_medium=referral&utm_campaign=fledge-alpha-card) · [StealthMark leaderboard](https://huggingface.co/spaces/stealth-model/stealthmark) · [Follow us](https://huggingface.co/stealth-model)<br>
+Text and images: CC BY 4.0, stealthmodels.com.