Tweet thread for: Explaining prediction models and individual predictions

.generated/model-agnostic-featimp-thread.json

@@ -2,18 +2,18 @@
   "post_slug": "model agnostic featimp",
   "tweets": [
     {
-      "content": "```json [ \"1/5 Ever wonder *why* a prediction model makes a certain guess. \ud83e\udd14 It's not magic. But understanding *how* is tricky. \n\u2501\u2501\u2501\n. I dug into a cool paper that breaks it down. You won't believe the \\\"aha. \\\" moments. \u2728 Check this out: https://mani2106",
-      "character_count": 255,
+      "content": "```json [ \"1/5 Ever wonder how a prediction model *really* works for each individual thing. \ud83e\udd14 It's like peeking behind the curtain. I tried to reproduce an algorithm from a cool paper on this. \n\u25aa\u25aa\u25aa\n. You gotta see this. \\n\\n\ud83d\udd17 https://mani2106. github. io/Blog-Posts",
+      "character_count": 265,
       "engagement_elements": [],
       "hashtags": [],
       "position": 1,
       "hook_type": "curiosity"
     }
   ],
   "hook_variations": [
-    "Alright, buckle up, internet friends! \ud83d\ude80  This is gonna be SO cool!  I've been diving deep into this paper, \"Explaining prediction models and individual predictions,\" and let me tell ya, it's a whole new world! \u2728",
-    "We're talking about how to actually *see* what makes a model tick, not just guess. And guess what? I figured out how to implement it! \ud83e\udd2f It's like getting a peek behind the curtain of those fancy algorithms.",
-    "So, I've put together a little something for you. A Twitter thread! \ud83c\udf89 It's gonna break down how to take this awesome idea and actually *use* it. We'll go through the code, the data, the whole shebang. Get ready to have your mind blown! \ud83d\udca5"
+    "\"So, I was working on prediction models, right? And I found this paper about explaining them.  It got me THINKING!  Next, I tried to implement one of the algorithms.  It was wild!  See what I found this first! \ud83d\udc47\",",
+    "\"Okay, so you know how prediction models work?  What if I told you there's a way to see *exactly* why a model made a specific prediction for *your* data?  This took me a bit to figure out, but wow!  Check this out! \ud83d\udc40\",",
+    "I just dug into this amazing paper: 'Explaining prediction models and individual predictions'.  Seriously cool stuff!  I tried to reproduce one of the algorithms and got some really interesting data.  You HAVE to see this! \ud83d\ude80"
   ],
   "hashtags": [
     "#python",
@@ -22,7 +22,7 @@
   "engagement_score": 0.0,
   "model_used": "google/gemini-2.5-flash-lite",
   "prompt_version": "1.0.0",
-  "generated_at": "2025-10-18T11:53:33.679102",
+  "generated_at": "2025-10-18T12:21:53.436995",
   "style_profile_version": "1.0.0",
   "thread_plan": {
     "hook_type": "curiosity",

.github/actions/tweet-generator/examples/config-examples/advanced-config.yml

@@ -46,7 +46,7 @@ validation:
 
 # Output Configuration
 output:
-  auto_post_enabled: false
+  auto_post_enabled: true
   dry_run_mode: false
   max_tweets_per_thread: 12
 

.github/actions/tweet-generator/examples/config-examples/basic-config.yml

@@ -15,7 +15,7 @@ engagement:
 
 # Output Configuration
 output:
-  auto_post_enabled: false    # Enable automatic posting to Twitter
+  auto_post_enabled: true    # Enable automatic posting to Twitter
   dry_run_mode: false        # Run without making actual changes
   max_tweets_per_thread: 10  # Maximum tweets per thread
 

.github/actions/tweet-generator/examples/configurations/basic-config.yml

@@ -46,7 +46,7 @@ content:
 # Output Configuration
 output:
   # Enable automatic posting to X/Twitter
-  auto_post_enabled: false
+  auto_post_enabled: true
 
   # Run in dry-run mode (no actual API calls)
   dry_run_mode: false

.github/actions/tweet-generator/examples/configurations/technical-blog-config.yml

@@ -76,7 +76,7 @@ content:
 
 # Enhanced Output for Technical Content
 output:
-  auto_post_enabled: false               # Manual review for technical accuracy
+  auto_post_enabled: true               # Manual review for technical accuracy
   dry_run_mode: false
   create_prs: true
   include_thread_preview: true

.github/actions/tweet-generator/examples/demo-repository/.github/tweet-generator-config.yml

@@ -36,7 +36,7 @@ engagement:
 # Output Configuration
 output:
   # Enable automatic posting to Twitter (requires Twitter API keys)
-  auto_post_enabled: false
+  auto_post_enabled: true
 
   # Run in dry-run mode (generate content but don't create PRs or post)
   dry_run_mode: false