diff --git a/data/pages/about.html b/data/pages/about.html
index e123ee2..e90b69a 100644
--- a/data/pages/about.html
+++ b/data/pages/about.html
@@ -37,7 +37,7 @@
   </ul>
   <br />
   <p>
-    This website was made with Elysia and HTMX. You can
-    <a href="https://git.sepiatones.xyz/sepia/sepiatones_xyz">read the code</a>.
+    This website was made with htmx and rust. I will not post the code unless
+    you bother me about it, because I am lazy.
   </p>
 </article>
diff --git a/data/posts/other_post.html b/data/posts/other_post.html
new file mode 100644
index 0000000..51c60b1
--- /dev/null
+++ b/data/posts/other_post.html
@@ -0,0 +1,8 @@
+<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
new file mode 100644
index 0000000..2c5fdf8
--- /dev/null
+++ b/data/posts/test_post.html
@@ -0,0 +1,4 @@
+<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
deleted file mode 100644
index 0cf85f8..0000000
--- a/data/posts/things_ai_agents_should_be_able_to_do.html
+++ /dev/null
@@ -1,36 +0,0 @@
-<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>
