
# Text Classification with Classifier Use when: User asks to classify text, detect spam, analyze sentiment, detect emotions, or use pre-trained ML models. ## Pre-trained Models Run `classifier models` to see all available models. Common ones: | Model | Command | Use Case | |-------|---------|----------| | `sms-spam-filter` | `classifier -r sms-spam-filter "text"` | Spam detection | | `imdb-sentiment` | `classifier -r imdb-sentiment "text"` | Sentiment analysis | | `emotion-detection` | `clas
Search, create, and complete Apple Reminders. Use when user asks about tasks, todos, reminders, grocery lists, or wants to add/complete items.
# Text Classification with Classifier Use when: User asks to classify text, detect spam, analyze sentiment, detect emotions, or use pre-trained ML models. ## Pre-trained Models Run `classifier models` to see all available models. Common ones: | Model | Command | Use Case | |-------|---------|----------| | `sms-spam-filter` | `classifier -r sms-spam-filter "text"` | Spam detection | | `imdb-sentiment` | `classifier -r imdb-sentiment "text"` | Sentiment analysis | | `emotion-detection` | `clas
Fuzzy search and browse Apple Messages/iMessage. Use when user asks to find texts, search messages, look up conversations, find what someone said, who texted recently, or view recent messages.
Search, browse, create, and delete Apple Notes. Use when user asks about notes, wants to find something in notes, create a new note, or delete notes.