no em-dashes, plainer prose

README.md

@@ -18,16 +18,13 @@ tags:
 
 **[Try it →](https://hemmingway.io)** · **[Mac and Android apps →](https://hemmingway.io/download)** · **[Code →](https://github.com/lukeckprobierts/Hemmingway-1)**
 
-Most models can write. Almost none can write the message you were actually
-going to send. Ask one for a text to your landlord and you get three options, a
+Ask most models for a text to your landlord and you get three options, a
 preamble, and a paragraph explaining the options. Hemmingway-1 gives you the
 text.
 
-We built it for the writing people do every day — messages, emails, the awkward
-note to a colleague, the thing you've been putting off — and then we tested it
-against the biggest models in the world at exactly that.
-
-It came first.
+We built it for the writing people do every day. Messages, emails, the awkward
+note to a colleague, the thing you have been putting off. Then we tested it
+against the biggest models in the world at exactly that, and it came first.
 
 ## It writes the best everyday messages of any model we tested
 
@@ -36,31 +33,30 @@ to the same request, shuffled so the judge never knows which is which.
 
 ![CommunicationBench](charts/communicationbench.png)
 
-Ahead of Fable 5.1. Ahead of GPT-6 Astra by fifty points. Ahead of Kimi K3,
-GLM-5.3, Grok 4.6 and DeepSeek V4 Pro. At 27B.
+It beats Fable 5.1, and it beats GPT-6 Astra by fifty points. Kimi K3, GLM-5.3,
+Grok 4.6 and DeepSeek V4 Pro all come in behind it. At 27B.
 
-## And it's the one that sounds like a person
+## And it is the one that sounds like a person
 
 Same matchups, one question: which of these two did a person write?
 
 ![Human-Likeness](charts/human-likeness.png)
 
-Twenty-six points clear of the next model. This is the whole point of
-Hemmingway-1, and it's the number we're proudest of.
+Twenty-six points clear of the next model.
 
 ## Where it wins
 
-Broken down by what you actually asked for. Higher means the judge more often
-took its version for the one a person wrote.
+Broken down by what you asked for. Higher means the judge more often took its
+version for the one a person wrote.
 
 ![Where Hemmingway wins](charts/categories-heatmap.png)
 
-Money and admin, work, the hard asks you keep rewriting, talking someone round
-— it wins all of them, most by a wide margin. GPT-6 Astra gets 9% on hard asks.
+It wins money and admin, work, the hard asks you keep rewriting, and talking
+someone round. Most of them by a wide margin. GPT-6 Astra gets 9% on hard asks.
 Hemmingway-1 gets 72%.
 
-Where it loses is hostile storytelling and long story turns. The story models
-are better at those. We'd rather win your inbox.
+It loses on hostile storytelling and long story turns. The story models are
+better at those.
 
 ## You get the message, not a memo
 
@@ -73,7 +69,7 @@ Fable 5, GLM-5.3 and Kimi K3 do it to more than nine replies in ten.
 
 ## It reads the room
 
-EQ-Bench 4 is not ours. It's the public emotional-intelligence benchmark, run
+EQ-Bench 4 is not ours. It is the public emotional-intelligence benchmark, run
 by its own harness.
 
 ![EQ-Bench 4](charts/eqbench4.png)
@@ -88,12 +84,6 @@ best model on the board.
 Level with Kimi K3, comfortably past Qwen3.8-Max and DeepSeek V4 Pro, and 504
 points above the model we started from.
 
-## How it got here
-
-Every round, from our first 9B to this one.
-
-![The climb](charts/the-climb.png)
-
 ## Run it
 
 ```bash
@@ -118,15 +108,14 @@ print(tok.decode(out[0][ids.shape[-1]:], skip_special_tokens=True))
 | Parameters | 27B |
 | Built on | Qwen3.8-27B |
 | Context | 262,144 tokens |
-| Licence | Apache-2.0 — yours to use, including commercially |
+| Licence | Apache-2.0, yours to use, including commercially |
 
 ## The fine print
 
 CommunicationBench, Human-Likeness and StoryBench are our own benchmarks. We
-built them, we ran them, and we're telling you that up front. Every matchup was
-blind and run in both orders so position couldn't sway it, and the judge was a
-different model from the ones being judged. EQ-Bench 4 and its slop meter are
-not ours.
+built them, we ran them, and we are telling you that up front. Every matchup was
+blind and run in both orders so position could not sway it, and the judge was a
+different model from the ones being judged. EQ-Bench 4 is not ours.
 
-It's English-first. It can be wrong and still sound certain. Don't use it to
+It is English-first. It can be wrong and still sound certain. Do not use it to
 decide anything medical, legal or financial.