diff --git a/README.md b/README.md
index f1b8d2b..3cc7c99 100644
--- a/README.md
+++ b/README.md
@@ -70,6 +70,11 @@ You can also run Kowalski using Docker, which simplifies the setup process. Make
 
 2. **Make sure to setup your `.env` file first!**
 
+   > [!TIP]
+   > If you intend to setup AI, the defaults for Docker are already included (just uncomment) and don't need to be changed.
+   >
+   > Further setup may be needed for GPUs. See the Ollama documentation for more.
+
 3. **Run the container**
 
    ```bash
@@ -129,7 +134,7 @@ chmod +x src/plugins/yt-dlp/yt-dlp
 
 **Q:** How can I disable AI features?
 
-**A:** AI features are disabled by default, unless you have set `ollamaApi` in your `.env` file. Please remove or comment out this line to disable all AI functionality.
+**A:** AI features are disabled by default, unless you have set `ollamaEnabled` to `true` in your `.env` file. Set it back to `false` to disable.
 
 ## Contributors
 
diff --git a/src/commands/ai.ts b/src/commands/ai.ts
index 33330e8..495a36f 100644
--- a/src/commands/ai.ts
+++ b/src/commands/ai.ts
@@ -227,8 +227,6 @@ export default (bot: Telegraf<Context>) => {
     if (!ctx.message || !('text' in ctx.message)) return;
     const isAsk = ctx.message.text.startsWith("/ask")
     const model = isAsk ? flash_model : thinking_model
-    console.log(model)
-    console.log(ctx.message.text)
     const textCtx = ctx as TextContext;
     const reply_to_message_id = replyToMessageId(textCtx)
     const Strings = getStrings(languageCode(textCtx))
diff --git a/src/utils/log.ts b/src/utils/log.ts
index 63c046a..67019a8 100644
--- a/src/utils/log.ts
+++ b/src/utils/log.ts
@@ -32,7 +32,6 @@ import { flash_model, thinking_model } from "../commands/ai"
 
 class Logger {
   private static instance: Logger
-  private thinking: boolean = false
 
   private constructor() {}
 
@@ -44,7 +43,7 @@ class Logger {
   }
 
   logCmdStart(user: string, type: "ask" | "think"): void {
-    console.log(`\n[✨ AI | START] Received /${type} for model ${type === "ask" ? flash_model : thinking_model} from ${user}`)
+    console.log(`\n[✨ AI | START] Received /${type} for model ${type === "ask" ? flash_model : thinking_model}`)
   }
 
   logThinking(chatId: number, messageId: number, thinking: boolean): void {
@@ -61,7 +60,7 @@ class Logger {
   }
 
   logPrompt(prompt: string): void {
-    console.log(`[✨ AI | PROMPT] ${prompt.length} chars: ${prompt.substring(0, 50)}${prompt.length > 50 ? "..." : ""}`)
+    console.log(`[✨ AI | PROMPT] ${prompt.length} chars input`)
   }
 
   logError(error: any): void {