diff --git a/.env.example b/.env.example
index 1e9e3d32..e863ff51 100644
--- a/.env.example
+++ b/.env.example
@@ -2,4 +2,5 @@ RP_PACK_UUID=68a061ba-18fc-4930-a56a-1da78742daa1
 RP_MODULE_UUID=ad91326d-3455-4ea2-b12d-9e49591fa1f2
 BP_PACK_UUID=eefdf10b-b20b-4580-8515-d6a2c35db762
 BP_MODULE_UUID=a684c1d3-ad02-4ddb-9241-cfd132b79621
-GITHUB_ACTION_REPOSITORY=jasonjgardner/minecraft-rtx-rainbow
\ No newline at end of file
+GITHUB_ACTION_REPOSITORY=jasonjgardner/minecraft-rtx-rainbow
+OPENAI_API_KEY=
\ No newline at end of file
diff --git a/src/functions/chatgpt.ts b/src/functions/chatgpt.ts
new file mode 100644
index 00000000..f268a43f
--- /dev/null
+++ b/src/functions/chatgpt.ts
@@ -0,0 +1,66 @@
+import { load } from "https://deno.land/std@0.184.0/dotenv/mod.ts";
+import openai from "npm:openai@^3.2.1";
+import { Image } from "imagescript/mod.ts";
+import type { Axis, WssParams } from "../../typings/types.ts";
+import { convertImage } from "../components/ImagePrinter.ts";
+import assemble from "../components/_assemble.ts";
+import { join } from "path/mod.ts";
+
+const { Configuration, OpenAIApi } = openai;
+
+const env = await load();
+const OPENAI_API_KEY = env.OPENAI_API_KEY || Deno.env.get("OPENAI_API_KEY") ||
+  "";
+
+const SYSTEM_PROMPT = "Act as a Minecraft Bedrock add-on creator. " +
+  "You will be asked to create commands, functions, and structures for a Minecraft Bedrock Edition add-on. " +
+  "You will provide responses in the form of a Minecraft command. " +
+  "Reply with the solutions only, no explanations.";
+const getRandomPrompt = () => {
+  const prompts = [
+    "Summon a zombie",
+    "Play a prank on nearby players",
+    "Teleport a player to a random location",
+  ];
+
+  return prompts[Math.floor(Math.random() * prompts.length)];
+};
+
+const configuration = new Configuration({
+  apiKey: OPENAI_API_KEY,
+});
+
+const client = new OpenAIApi(configuration);
+
+export default async function chatgpt(
+  { parameters, queueCommandRequest }: WssParams,
+) {
+  const prompt = parameters.get("prompt") ?? getRandomPrompt();
+
+  const completion = await client.createChatCompletion({
+    model: "gpt-3.5-turbo",
+    messages: [
+      { role: "system", content: SYSTEM_PROMPT },
+      { role: "user", name: "Minecraft", content: prompt },
+    ],
+    temperature: 0.3,
+    n: 1,
+  });
+
+  const completionCommands =
+    (completion.data.choices[0].message?.content?.split("\n") ?? []).map((c) =>
+      c.replace(/^\//, "").trim()
+    ).filter((c) => c.length > 0);
+
+  console.group("ChatGPT response");
+  console.log(completionCommands);
+  console.groupEnd();
+
+  const commands: string[] = [];
+
+  commands.push(
+    ...completionCommands,
+  );
+
+  commands.map((c) => queueCommandRequest(c));
+}
diff --git a/src/functions/dalle.ts b/src/functions/dalle.ts
new file mode 100644
index 00000000..2908f1d8
--- /dev/null
+++ b/src/functions/dalle.ts
@@ -0,0 +1,80 @@
+import { load } from "https://deno.land/std@0.184.0/dotenv/mod.ts";
+import openai from "npm:openai@^3.2.1";
+import { Image } from "imagescript/mod.ts";
+import type { Axis, WssParams } from "../../typings/types.ts";
+import { convertImage } from "../components/ImagePrinter.ts";
+import assemble from "../components/_assemble.ts";
+import { join } from "path/mod.ts";
+
+const { Configuration, OpenAIApi } = openai;
+
+const env = await load();
+const OPENAI_API_KEY = env.OPENAI_API_KEY || Deno.env.get("OPENAI_API_KEY") ||
+  "";
+
+const outputDir = join(Deno.cwd(), "out");
+
+const getRandomPrompt = () => {
+  const prompts = [
+    "A unicorn in space",
+    "A dog in a hat",
+  ];
+
+  return prompts[Math.floor(Math.random() * prompts.length)];
+};
+
+const configuration = new Configuration({
+  apiKey: OPENAI_API_KEY,
+});
+const client = new OpenAIApi(configuration);
+
+function getBlockLibrary(material: string, exclude?: string[]) {
+  return assemble(exclude).filter((b) => b.behaviorId.includes(material));
+}
+
+export default async function dalle(
+  { parameters, queueCommandRequest, formatPosition }: WssParams,
+) {
+  const axis = parameters.get("axis") ?? "y";
+  const material = parameters.get("material") ?? "plastic";
+  const exclude = (parameters.get("exclude") ?? "").split(",");
+  const position = parameters.get("position") ?? "0 0 0";
+  const useAbsolutePosition = parameters.get("absolute") === "true";
+  const [x, y, z] = position.split(" ").map((v) => parseInt(v, 10));
+  const prompt = parameters.get("prompt") ?? getRandomPrompt();
+  const response = await client.createImage({
+    prompt,
+    n: 1,
+    size: "256x256",
+  });
+
+  const imageUrl: string = response.data.data[0].url ?? "";
+  const imageRes = await fetch(imageUrl);
+  const imageData = await imageRes.arrayBuffer();
+  const decoded = await Image.decode(imageData);
+
+  try {
+    await Deno.writeFile(
+      join(outputDir, prompt.trim().replace(/[\s:\/\\#\$\?]+/gi, "-") + ".png"),
+      new Uint8Array(imageData),
+    );
+  } catch (err) {
+    console.warn(`Failed saving image from DALL-E: ${err}`);
+  }
+
+  const resized = decoded.resize(128, 128);
+
+  const commands: string[] = [];
+
+  commands.push(
+    ...convertImage(
+      resized,
+      getBlockLibrary(material, exclude),
+      [x, y, z],
+      <Axis> axis,
+      useAbsolutePosition === true,
+    ),
+  );
+
+  commands.map((c) => queueCommandRequest(c));
+}
diff --git a/src/versions.json b/src/versions.json
index e8178b1b..d1be3797 100644
--- a/src/versions.json
+++ b/src/versions.json
@@ -1,4 +1,4 @@
 {
-  "RP": "2.3.0",
-  "BP": "2.3.0"
+  "RP": "2.3.1",
+  "BP": "2.3.1"
 }