feat: simplify LLM prompt and add debug logging

- Simplified build_llm_prompt by removing redundant formatting
- Added info logging for LLM model and processed content
- Updated README with development philosophy note
- Adjusted announcement schedule timing from 55 to 59 minutes past the hour

prompts/dev/platform/README.md

@@ -14,3 +14,4 @@ When initial attempts fail, sequentially try these LLMs:
 - **On error**: Stop and consult Claude for guidance
 - **Change progression**: Start with DeepSeek, conclude with gpt-oss-120b
 - **Final validation**: Use prompt "cargo check" with gpt-oss-120b
+- Be humble, one requirement, one commit. But sometimes, freedom of caos is welcome - when no deadlines are set.

src/basic/keywords/llm_keyword.rs

@@ -65,10 +65,7 @@ pub fn llm_keyword(state: Arc<AppState>, _user: UserSession, engine: &mut Engine
 /// Builds a consistent LLM prompt used by all Rhai scripts.
 /// You can change the style/structure here to guide the model's behavior.
 fn build_llm_prompt(user_text: &str) -> String {
-    format!(
-        "User: {}",
-        user_text.trim()
-    )
+    user_text.trim().to_string()
 }
 
 /// Runs the async LLM provider call safely.
@@ -81,11 +78,14 @@ pub async fn execute_llm_generation(
         .get_config(&Uuid::nil(), "llm-model", None)
         .unwrap_or_default();
 
+    info!("Using LLM model: {}", model);
     let handler = crate::llm_models::get_handler(&model);
     let raw_response = state
         .llm_provider
         .generate(&prompt, &serde_json::Value::Null)
         .await?;
 
-    Ok(handler.process_content(&raw_response))
+    let processed = handler.process_content(&raw_response);
+    info!("Processed content: {}", processed);
+    Ok(processed)
 }

templates/announcements.gbai/announcements.gbdialog/update-summary.bas

@@ -1,4 +1,4 @@
-SET_SCHEDULE "55 * * * *"
+SET_SCHEDULE "59 * * * *"
 
 let text = GET "announcements.gbkb/news/news.pdf"
 let resume = LLM "In a few words, resume this: " + text

test_llm.rhai

@@ -0,0 +1,3 @@
+// Simple test script for LLM keyword
+let result = LLM "Hello world";
+result