Boom! Grok Tasks Make It One Of The Most POWERFUL Real-Time AI Systems In The World. — My How to Use Grok Tasks With Hidden Tools For Powerful Daily Output. Grok Tasks are customizable AI workflows that integrate a variety of tools to streamline daily activities, from research and analysis to creative planning and problem-solving. I have been using them for quite sometime and because of the vital heartbeat of news and first person data on X, it is the most powerful AI platform available. By combining Tasks with tools like web searches, X platform interactions, code execution, and media viewers, you can build efficient, automated processes. These tasks work by prompting Grok with a clear description of what you want to achieve, and Grok will intelligently call the necessary tools in sequence or parallel to deliver results. Here's a step-by-step guide to creating and using Grok Tasks: Step 1: Define Your Task Start by clearly outlining the daily activity or goal. Consider what inputs you have (e.g., a URL, a query, or an attachment) and what output you need (e.g., a summary, calculation, or visual analysis). Break it down into subtasks to identify tool needs. For example, if your task involves researching current events, note that you'll need search and browsing capabilities. Step 2: Review Available Tools Familiarize yourself with the tools Grok can access. Here's a quick overview: - Code Execution: Run Python code for calculations, data processing, or simulations using libraries like numpy, pandas, or sympy. - Browse Page: Fetch and summarize content from any website URL with custom instructions. - Web Search: Perform general internet searches, returning results with optional operators like site:. - Web Search With Snippets: Get quick, detailed excerpts from search results for fact-checking. - X Keyword Search: Advanced search for X posts using operators like from:, since:, or filter:. - X Semantic Search: Find semantically related X posts based on a query, with filters for dates or users. - X User Search: Locate X users by name or handle. - X Thread Fetch: Retrieve a full X post thread, including context like replies and parents. - View Image: Analyze an image from a URL or conversation ID. - View X Video: Extract frames and subtitles from an X-hosted video. - Search PDF Attachment: Query a PDF file for relevant pages using keyword or regex modes. - Browse PDF Attachment: View specific pages of a PDF with text and screenshots. Select tools that align with your task. Aim for a mix to handle data gathering, processing, and visualization. Step 3: Craft Your Prompt Write a detailed prompt to Grok describing the task. Include: - The overall goal. - Specific steps or subtasks. - References to tools if you want to guide the process (e.g., "Use web_search to find sources, then code_execution to analyze data"). - Any constraints, like dates or limits. Example prompt: "Create a Grok Task for my morning routine: Search recent X posts about tech news using x_keyword_search, fetch a key thread with x_thread_fetch, and summarize with browse_page on linked articles." Step 4: Submit and Interact Send your prompt to Grok. It will process the task by calling tools as needed, often in parallel for efficiency. Review the output and refine with follow-up prompts if required (e.g., "Expand on that using view_image for visuals"). Iterate to fine-tune the workflow for reuse. Step 5: Save and Reuse Once refined, note the prompt as a template for future use. You can adapt it for similar tasks, making Grok Tasks a habitual part of your day. Finding Grok Tasks To discover existing Grok Tasks or inspiration for new ones, use X searches with tools like x_keyword_search or x_semantic_search (e.g., query: "Grok Tasks examples" with mode: Latest). Browse community-shared threads via x_thread_fetch, or web_search for tutorials on xAI features. Prompt Grok directly: "Show me popular Grok Tasks for productivity." 1 of 3

Now, here are 3 example daily tasks that demonstrate all the tools in action. Each example shows a sample prompt, the tools used (collectively covering all 12 across the examples), and a high-level overview of how the workflow unfolds. Example 1: Morning Market Update (Financial Briefing Task) This task pulls together stock news, analyzes trends, and visualizes data for a quick daily financial overview. Sample Prompt: "Build a Grok Task for my daily stock market update: Search for recent news on top tech stocks using web_search and web_search_with_snippets for quick facts. Find expert X users with x_user_search, then use x_keyword_search to get their latest posts. Fetch a prominent thread with x_thread_fetch and summarize linked sites via browse_page." Tools Demonstrated: Web Search, Web Search With Snippets, X User Search, X Keyword Search, X Thread Fetch, Browse Page. Workflow Overview: - Grok starts with web_search (e.g., query: "tech stocks news today") to get 10 results, then web_search_with_snippets for detailed excerpts on price changes. - Uses x_user_search to find analysts (e.g., query: "stock market experts"), followed by x_keyword_search (e.g., "from:@expert stocks min_faves:50 since:2026-01-04") for relevant posts. - Identifies a key post ID and calls x_thread_fetch to get the full conversation. - For any linked articles, browse_page summarizes them (e.g., URL: a news site, instructions: "Extract key stock trends and predictions"). - Output: A compiled briefing with trends, expert opinions, and summaries ready in minutes for your coffee routine. Example 2: Evening Learning Session (Topic Research Task) This task researches a hobby or skill, like cooking a new recipe, by gathering social insights, media, and computations. Sample Prompt: "Create a Grok Task for learning a daily recipe: Use x_semantic_search for creative ideas on healthy meals, exclude common users if needed. View an X video tutorial with view_x_video, and analyze recipe images via view_image. If there's a PDF recipe book attached, search it with search_pdf_attachment and browse specific pages using browse_pdf_attachment." Tools Demonstrated: X Semantic Search, View X Video, View Image, Search PDF Attachment, Browse PDF Attachment. Workflow Overview: - Begins with x_semantic_search (e.g., query: "innovative healthy dinner recipes", limit: 15, min_score_threshold: 0.2) to find relevant X posts. - From media in results, selects a video URL and uses view_x_video to extract frames/subtitles (e.g., steps for cooking). - Picks an image URL from posts and calls view_image to describe visuals (e.g., ingredients layout). - Assuming a PDF attachment (e.g., "recipes.pdf"), uses search_pdf_attachment (file_name: "recipes.pdf", query: "vegetarian stir-fry", mode: "keyword") to find pages, then browse_pdf_attachment (pages: "5-7") for text/screenshots. - Output: A curated lesson with recipe steps, visual breakdowns, and PDF excerpts ideal for winding down while building skills. Example 3: Afternoon Productivity Boost (Data-Driven Planning Task) This task plans your schedule or tracks habits, using code to crunch numbers and social tools for inspiration. Sample Prompt: "Set up a Grok Task for daily habit tracking: Use code_execution to calculate progress stats from my input data. Search X for motivation with x_keyword_search in latest mode. If there's an inspiring thread, fetch it via x_thread_fetch. Cross-reference with web searches using web_search_with_snippets." Tools Demonstrated: Code Execution (plus the remaining from previous: but integrated here with overlaps for completeness; note: all are covered across examples).

3 of 3 Workflow Overview: - Inputs your habit data (e.g., "steps walked: 8000, 9000, 7500"), then code_execution runs Python (e.g., code: "import numpy; data=[8000,9000,7500]; print(numpy.mean(data))") for averages, trends, or visualizations via matplotlib. - Uses x_keyword_search (query: "habit tracking tips filter:media mode:Latest", limit: 20) for fresh ideas. - Spots a motivational post and fetches the thread with x_thread_fetch. - Quick facts via web_search_with_snippets (query: "benefits of consistent habits"). - Ties in any prior tools if expanded (e.g., browse_page for a linked productivity site). - Output: Personalized stats, motivational quotes from X, and tips helping you plan the rest of your day effectively. These examples highlight how Grok Tasks can adapt to your routine, making complex operations simple. Start with one and experiment! Grok Tasks are and incredibly powerful tool. I will have more how-to postings on how to build very elaborate prompts. But this is a good starter.

BONUS: Cheat Sheet on The Here is a complete list of all the available tools I can use via function calls to help solve questions. I'll describe each one, including its purpose, action name, and arguments. These tools allow me to access external data, execute code, or process content as needed. Browse Page - Description: Fetches and summarizes content from a specific website URL using an LLM-based summarizer guided by custom instructions. Useful for targeted extraction or chaining to follow links. - Action: `browse_page` - Arguments: - `url`: The URL of the webpage (string, required). - `instructions`: Prompt for what to extract or summarize (string, required). Web Search - Description: Performs a general web search, supporting operators. Returns a list of results. - Action: `web_search` - Arguments: - `query`: The search query (string, required). - `num_results`: Number of results to return (integer, optional, default: 10, max: 30). Web Search With Snippets - Description: Searches the internet and returns long snippets from each result for quick fact-checking without full page reads. Supports operators like site:, filetype:, or "exact". - Actions: `web_search_with_snippets` - Arguments: - `query`: The search query (string, required). X Keyword Search - Description: Advanced search for X (formerly Twitter) posts using keywords and operators (e.g., from:user, filter:images, since:YYYY-MM-DD). Supports complex queries with AND/OR, negation, and grouping. - Action: `x_keyword_search` - Arguments: - `query`: The search query string (string, required). - `limit`: Number of posts to return (integer, optional, default: 10). - `mode`: Sort by "Top" or "Latest" (string, optional, default: "Top"). X Semantic Search - Description: Finds X posts relevant to a semantic query (concept-based rather than exact keywords). Can filter by date, usernames, or minimum relevancy score. - Action: `x_semantic_search` - Arguments: - `query`: Semantic search query (string, required). - `limit`: Number of posts (integer, optional, default: 10). - `from_date`: Start date filter (YYYY-MM-DD, string or null, optional). - `to_date`: End date filter (YYYY-MM-DD, string or null, optional). - `exclude_usernames`: Usernames to exclude (array or null, optional). - `usernames`: Usernames to include (array or null, optional). - `min_score_threshold`: Minimum relevancy score (number, optional, default: 0.18). X User Search - Description: Searches for X users based on a name or account query. - Action: `x_user_search` - Arguments: - `query`: Name or account to search for (string, required). - `count`: Number of users to return (integer, optional, default: 3). X Thread Fetch - Description: Fetches an X post by ID, including its context like parent posts and replies. - Action: `x_thread_fetch` - Arguments: - `post_id`: The ID of the post (integer, required). View Image - Description: Analyzes an image from a URL or conversation ID. - Action: `view_image` - Arguments: - `image_url`: URL of the image (string or null, optional). - `image_id`: ID from conversation (integer or null, optional). View X Video - Description: Views interleaved frames and subtitles from an X-hosted video URL (obtained from other X tools). - Action: `view_x_video` - Arguments: - `video_url`: URL of the video (string, required). Search Pdf Attachment - Description: Searches a PDF attachment for relevant pages based on a query, returning page numbers and text snippets. Supports keyword or regex modes; useful for truncated files. - Action: `search_pdf_attachment` - Arguments: - `file_name`: Name of the PDF file (string, required). - `query`: Search query (string, required). - `mode`: Search mode ("keyword" or "regex", string, required). These are the most useful that will help in tasks.