diff --git a/data/pages/about.html b/data/pages/about.html
index e90b69a..e123ee2 100644
--- a/data/pages/about.html
+++ b/data/pages/about.html
@@ -37,7 +37,7 @@
   </ul>
   <br />
   <p>
-    This website was made with htmx and rust. I will not post the code unless
-    you bother me about it, because I am lazy.
+    This website was made with Elysia and HTMX. You can
+    <a href="https://git.sepiatones.xyz/sepia/sepiatones_xyz">read the code</a>.
   </p>
 </article>
diff --git a/data/posts/other_post.html b/data/posts/other_post.html
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index 51c60b1..0000000
--- a/data/posts/other_post.html
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@@ -1,8 +0,0 @@
-<head>
-  <meta name="title" content="Other Post" />
-  <meta name="date" content="2024-09-24T00:00:00Z" />
-</head>
-<article>
-  <h1>Welcome to another post!</h1>
-  <p>another one!</p>
-</article>
diff --git a/data/posts/test_post.html b/data/posts/test_post.html
deleted file mode 100644
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--- a/data/posts/test_post.html
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@@ -1,4 +0,0 @@
-<article>
-  <h1>Test</h1>
-  <p>This is just a test!</p>
-</article>
diff --git a/data/posts/things_ai_agents_should_be_able_to_do.html b/data/posts/things_ai_agents_should_be_able_to_do.html
new file mode 100644
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@@ -0,0 +1,36 @@
+<head>
+  <meta name="title" content="Things AI Agents Should Be Able to Do" />
+  <meta name="date" content="2025-07-30T00:00:00Z" />
+</head>
+<article>
+  <h1>Things AI Agents Should be Able to Do</h1>
+  <h2>Write Their Own Helper Scripts</h2>
+  <p>
+    If I ask my agent to play chess with me (or a game that doesn't exist), it
+    should write a basic chess engine, unmprompted, in a sandboxed environment,
+    which it can then use as a tool the next time it plays chess. Nobody has
+    implemented this yet because it requires a lot of agency from the agent, and
+    would have a bad error rate. I think it can be done effectively by limiting
+    the agent to a single tech stack and a railroaded workflow for creating its
+    own tools. Like a human software engineer, an AI agent should seek to
+    automate tedious tasks.
+  </p>
+  <h2>Forget</h2>
+  <p>
+    Humans still have better memories than LLMs, because we forget. Agents can
+    be fitted with a RAG to quickly memorize trivia, but if you have your agent
+    remembering everything it does all day, the database gets cluttered with
+    information that doesn't matter, and recall brings up a lot of garbage. This
+    effect would be exacerbated if you fed an agent a firehose of information
+    from your camera-glasses, which is exactly how much information your own
+    monkey brain is intaking.
+    <br />
+    Human memory should be used as a model: when information is repeated, we
+    remember it more strongly, and if it's not, we forget. Additionally, humans
+    spend time "alone with our thoughts" reflecting on our memories and creating
+    new super-memories that are much denser with useful information (For
+    example, you might remember "My friend James likes strawberry ice cream," a
+    reflection that allows you to throw away 200 instances of memories of him
+    ordering strawberry ice cream).
+  </p>
+</article>
