diff --git a/network-poc/native-node/src/main.rs b/network-poc/native-node/src/main.rs
index 4c774c7..bef1c7e 100644
--- a/network-poc/native-node/src/main.rs
+++ b/network-poc/native-node/src/main.rs
@@ -347,22 +347,27 @@ async fn main() {
 
                                     if let Some(ref engine) = llm {
                                         let max_tokens = task.get("max_tokens").and_then(|v| v.as_u64()).unwrap_or(1024) as usize;
-                                        tracing::info!("Generoidaan (task_id: {}, max_tokens: {}): \"{}\"", task_id, max_tokens, &prompt[..prompt.len().min(100)]);
+                                        let prompt_lines = prompt.lines().count();
+                                        let prompt_last: String = prompt.lines().last().unwrap_or("").chars().take(60).collect();
+                                        tracing::info!("→ task_id:{} | {}r prompti | \"{}...\"", task_id, prompt_lines, prompt_last);
 
                                         let model_name = engine.model_name();
                                         match engine.generate(prompt, max_tokens).await {
                                             Ok(result) => {
+                                                let result_preview: String = result.text.chars().take(60).collect();
                                                 tracing::info!(
-                                                    "Tulos: {} tokenia | {:.0}ms | {:.1} tok/s | \"{}\"",
+                                                    "✓ {} tok | {:.0}ms | {:.1} tok/s | \"{}...\"",
                                                     result.tokens_generated,
                                                     result.duration_ms,
                                                     result.tokens_per_sec,
-                                                    &result.text[..result.text.len().min(80)]
+                                                    result_preview
                                                 );
 
+                                                // Lähetetään vain lyhyt prompti-esikatselu (ei koko kontekstia)
+                                                let prompt_short: String = prompt.lines().last().unwrap_or("").chars().take(100).collect();
                                                 let done = json!({
                                                     "type": "llm_done",
-                                                    "prompt": prompt,
+                                                    "prompt": prompt_short,
                                                     "model": format!("{} (Ollama)", model_name),
                                                     "response": result.text,
                                                     "tokens_generated": result.tokens_generated,