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Ana Sayfaya Dön

just vibe-coded an internal search tool that finds any file on my computer and answers questions related to them. it's a custom Raycast extension powered by Anthropic's MCP (thanks Alex Albert & Marc Klingen for showing me!)—but it works with any LLM for Q&A across my local files. given... show more

viet

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107,926 görüntüleme • 1 yıl önce •via X (Twitter)

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🚨 Alibaba just open sourced a GUI agent that lives inside your webpage and controls it with natural language. It's called Page Agent and it's not a browser extension. It's pure JavaScript no Python, no Puppeteer, no headless browser, no screenshots. Just one script tag and your web app understands natural language. Here's what it actually does: → Embed it with a single tag or npm install → Control any web interface with plain English commands → Text-based DOM manipulation no OCR, no vision models needed → Bring your own LLM (GPT, Claude, Qwen, anything) → Ships a built-in UI with human-in-the-loop support → Turn 20-click ERP/CRM workflows into one sentence → Optional Chrome extension for multi-tab agent tasks → Works on any web app SaaS, admin panels, internal tools Companies are charging $30/month for AI copilots built on this exact idea. This is 3 lines of code. Your users. Your interface. The AI copilot layer for every web app just got open sourced. 1.6K stars. 100% Open Source. (Link in the comments)

🚨 Alibaba just open sourced a GUI agent that lives inside your webpage and controls it with natural language. It's called Page Agent and it's not a browser extension. It's pure JavaScript no Python, no Puppeteer, no headless browser, no screenshots. Just one script tag and your web app understands natural language. Here's what it actually does: → Embed it with a single tag or npm install → Control any web interface with plain English commands → Text-based DOM manipulation no OCR, no vision models needed → Bring your own LLM (GPT, Claude, Qwen, anything) → Ships a built-in UI with human-in-the-loop support → Turn 20-click ERP/CRM workflows into one sentence → Optional Chrome extension for multi-tab agent tasks → Works on any web app SaaS, admin panels, internal tools Companies are charging $30/month for AI copilots built on this exact idea. This is 3 lines of code. Your users. Your interface. The AI copilot layer for every web app just got open sourced. 1.6K stars. 100% Open Source. (Link in the comments)

Ihtesham Ali

135,572 görüntüleme • 5 ay önce

my team didn't want me to give this away for free. But I'm going to do it anyway it's the SEO & AI search dashboard I built in Claude Code it connects to your Google Analytics (GA4) and Google Search Console and Claude Code builds it in 5 minutes and I made a Notion document and a skill file so you can build this in Claude Code yourself in literally minutes the dashboard has three tabs: 1. AI Search - How much traffic is coming from ChatGPT, Perplexity, and Gemini ETC. It aggregates the GA4 data and gives single number 2. Paid ads - which keywords rank top 3 for but still pay for ads on, you should cut these to save budget 3. Organic overview - sessions, conversions, top landing pages, demographics. The single view for what is working I built this because this is how I drive our SEO and AEO forward it gives me the insights I need to allocate budget and prioritize what content to work on next I decided to give it away because most companies have no idea AI search is already sending them traffic like this post and comment "AEOdashboard" and I'll send it over

my team didn't want me to give this away for free. But I'm going to do it anyway it's the SEO & AI search dashboard I built in Claude Code it connects to your Google Analytics (GA4) and Google Search Console and Claude Code builds it in 5 minutes and I made a Notion document and a skill file so you can build this in Claude Code yourself in literally minutes the dashboard has three tabs: 1. AI Search - How much traffic is coming from ChatGPT, Perplexity, and Gemini ETC. It aggregates the GA4 data and gives single number 2. Paid ads - which keywords rank top 3 for but still pay for ads on, you should cut these to save budget 3. Organic overview - sessions, conversions, top landing pages, demographics. The single view for what is working I built this because this is how I drive our SEO and AEO forward it gives me the insights I need to allocate budget and prioritize what content to work on next I decided to give it away because most companies have no idea AI search is already sending them traffic like this post and comment "AEOdashboard" and I'll send it over

Cody Schneider

79,003 görüntüleme • 3 ay önce

One of my absolute favorite HEY features is the ability to quickly rename any email thread. This doesn't change the subject for anyone else — it just makes the change on my end. For example, I get a receipt from an auction house that says "Receipt of payment". That's not helpful. So I just click it and type "Rago Auction dining table ceramics September 2025 paid invoice receipt" and now I know what it is, what it's for, and it's a whole lot easier to search for or locate later. So much better.

One of my absolute favorite HEY features is the ability to quickly rename any email thread. This doesn't change the subject for anyone else — it just makes the change on my end. For example, I get a receipt from an auction house that says "Receipt of payment". That's not helpful. So I just click it and type "Rago Auction dining table ceramics September 2025 paid invoice receipt" and now I know what it is, what it's for, and it's a whole lot easier to search for or locate later. So much better.

Jason Fried

59,467 görüntüleme • 11 ay önce

Okay, so I have one last potion bottle to make a vid with but I'm a little torn on what it should do. (it's the orange pumpkin potion bottle.) I did consider giant growth but a fan beat me to that idea. My thanks for that by the way Cee So the question remains, what should the last remaining potion do? Let's hear your ideas and I'll pick the one I like best.

Okay, so I have one last potion bottle to make a vid with but I'm a little torn on what it should do. (it's the orange pumpkin potion bottle.) I did consider giant growth but a fan beat me to that idea. My thanks for that by the way Cee So the question remains, what should the last remaining potion do? Let's hear your ideas and I'll pick the one I like best.

Terra Draca

11,370 görüntüleme • 4 ay önce

OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!

OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!

Santiago

171,340 görüntüleme • 1 yıl önce

Forever grateful to Bigwiz for being a huge part of my journey. As your look-alike, you’ve unknowingly opened doors for me, made people recognise me, and given me opportunities that put food on my table. I don’t take any of it for granted. It’s more than just looking alike — it’s the love, the inspiration, and the blessings that have come with it. Big respect and appreciation always, Wizkid. ❤️🦅

Forever grateful to Bigwiz for being a huge part of my journey. As your look-alike, you’ve unknowingly opened doors for me, made people recognise me, and given me opportunities that put food on my table. I don’t take any of it for granted. It’s more than just looking alike — it’s the love, the inspiration, and the blessings that have come with it. Big respect and appreciation always, Wizkid. ❤️🦅

Whizzberry

191,537 görüntüleme • 25 gün önce

THIS GUY VIBE CODED A BROWSER TOOL WITH CLAUDE CODE THAT DRAWS PROPERTY LINES ONTO DRONE FOOTAGE AND KEEPS THEM LOCKED TO THE GROUND AS THE DRONE MOVES real estate agents kept asking for those property boundary overlays on drone videos so buyers can see exactly where a lot ends. the only real option was after effects, which is a massive pro tool for one small repeatable job so he built a browser tool that does just that one thing > drop in a drone clip and draw the parcel outline once on the first frame > gpu motion tracking keeps that boundary stuck to the ground as the drone flies and the perspective shifts > if the line drifts anywhere, you drop a keyframe to correct it and it re-tracks the segments around it > style the line however you want, then export the finished video > free to use, you dont even need an account until you export he built one tool that solves one annoying job perfectly, for people who were never going to learn after effects anyway

THIS GUY VIBE CODED A BROWSER TOOL WITH CLAUDE CODE THAT DRAWS PROPERTY LINES ONTO DRONE FOOTAGE AND KEEPS THEM LOCKED TO THE GROUND AS THE DRONE MOVES real estate agents kept asking for those property boundary overlays on drone videos so buyers can see exactly where a lot ends. the only real option was after effects, which is a massive pro tool for one small repeatable job so he built a browser tool that does just that one thing > drop in a drone clip and draw the parcel outline once on the first frame > gpu motion tracking keeps that boundary stuck to the ground as the drone flies and the perspective shifts > if the line drifts anywhere, you drop a keyframe to correct it and it re-tracks the segments around it > style the line however you want, then export the finished video > free to use, you dont even need an account until you export he built one tool that solves one annoying job perfectly, for people who were never going to learn after effects anyway

Om Patel

403,842 görüntüleme • 1 ay önce

Big moment for Postgres! Search has always been Postgres' weak spot, and everyone just accepted it. If you needed a real relevance-ranked keyword search, the default answer was to spin up Elasticsearch or add Algolia and deal with the data sync headaches forever. The problem isn't that Postgres can't do text search. It can. But the built-in `ts_rank` function uses a basic term frequency algorithm that doesn't come close to what modern search engines deliver. So teams end up: - Running a separate Elasticsearch cluster just for search - Building sync pipelines that inevitably drift out of consistency - Paying for managed search services that charge per query - Accepting mediocre search relevance because "good enough" ships faster But this is actually a solvable problem. You can realistically bring industry-standard search ranking directly into Postgres, which eliminates the need for external infra entirely. This exact solution is now available with the newly open-sourced pg_textsearch by Tiger Data - Creators of TimescaleDB, a Postgres extension that brings true BM25 relevance ranking into the database. BM25 is the algorithm behind Elasticsearch, Lucene, and most modern search engines. Now it runs natively in Postgres. Here's what pg_textsearch enables: - True BM25 ranking with configurable parameters (the same algorithm powering production search systems) - Simple SQL syntax: `ORDER BY content 'search terms'` - Works with Postgres text search configurations for multiple languages - Pairs naturally with pgvector for hybrid keyword + semantic search That last point matters a lot for RAG apps. The video below shows this in action, and I worked with the team to put this together. You can now do hybrid retrieval (combining keyword matching with vector similarity) in a single database, without stitching together multiple systems. The syntax is clean enough that you can add relevance-ranked search to existing queries in minutes. pg_textsearch is fully open-source under the PostgreSQL license. You can find a link to their GitHub repo in the next tweet.

Big moment for Postgres! Search has always been Postgres' weak spot, and everyone just accepted it. If you needed a real relevance-ranked keyword search, the default answer was to spin up Elasticsearch or add Algolia and deal with the data sync headaches forever. The problem isn't that Postgres can't do text search. It can. But the built-in `ts_rank` function uses a basic term frequency algorithm that doesn't come close to what modern search engines deliver. So teams end up: - Running a separate Elasticsearch cluster just for search - Building sync pipelines that inevitably drift out of consistency - Paying for managed search services that charge per query - Accepting mediocre search relevance because "good enough" ships faster But this is actually a solvable problem. You can realistically bring industry-standard search ranking directly into Postgres, which eliminates the need for external infra entirely. This exact solution is now available with the newly open-sourced pg_textsearch by Tiger Data - Creators of TimescaleDB, a Postgres extension that brings true BM25 relevance ranking into the database. BM25 is the algorithm behind Elasticsearch, Lucene, and most modern search engines. Now it runs natively in Postgres. Here's what pg_textsearch enables: - True BM25 ranking with configurable parameters (the same algorithm powering production search systems) - Simple SQL syntax: `ORDER BY content 'search terms'` - Works with Postgres text search configurations for multiple languages - Pairs naturally with pgvector for hybrid keyword + semantic search That last point matters a lot for RAG apps. The video below shows this in action, and I worked with the team to put this together. You can now do hybrid retrieval (combining keyword matching with vector similarity) in a single database, without stitching together multiple systems. The syntax is clean enough that you can add relevance-ranked search to existing queries in minutes. pg_textsearch is fully open-source under the PostgreSQL license. You can find a link to their GitHub repo in the next tweet.

Akshay 🚀

215,532 görüntüleme • 7 ay önce

sorry Jake let me explain a bit more about my work in my advertising agency: because we work with big clients, we run a lot of tests, especially with AI why do I use a famous actor for my internal tests? because a well-known face is instantly recognisable and easy to share to clients, you immediately understand the expressions, the acting style, and whether the generation is efficient or not it helps us judge the quality of the tool of course, I know the ethical side is complicated these tests are strictly internal, purely experimental, and never used for commercial purposes. using someone’s likeness without consent is completely forbidden, and I fully respect that i’m just sharing this video as an example of a technical test I generated by mistake, not for any public or commercial use what do you think of it? the tech is powerful, but it needs to be handled responsibly

sorry Jake let me explain a bit more about my work in my advertising agency: because we work with big clients, we run a lot of tests, especially with AI why do I use a famous actor for my internal tests? because a well-known face is instantly recognisable and easy to share to clients, you immediately understand the expressions, the acting style, and whether the generation is efficient or not it helps us judge the quality of the tool of course, I know the ethical side is complicated these tests are strictly internal, purely experimental, and never used for commercial purposes. using someone’s likeness without consent is completely forbidden, and I fully respect that i’m just sharing this video as an example of a technical test I generated by mistake, not for any public or commercial use what do you think of it? the tech is powerful, but it needs to be handled responsibly

INK

71,124 görüntüleme • 8 ay önce

Bon bread is what we eat in my house, and honestly we’ve never had any issues with it. I’ve even recommended it to a few friends, and none of them have complained so far. That said, I haven’t watched the video the lady made, so I can’t confirm whether she mentioned any specific brand or not. So just to be certain, I’ll run my own little test. I’ll stop eating from this very one here for about 1–2 weeks, then come back with a proper update on what I observe. Deal?

MrEazzy

339,021 görüntüleme • 4 ay önce

OK I'm gonna be real with you-- I've been under the impression that screen protectors are all basically the same thing, the only real difference being the applicator tool that comes in the box. But JSAUX has changed my opinion with their new (slightly silly named) Obsidian AR Screen Protector. I've been using it for about a month now after removing my old screen protector and here are my thoughts What it does - Reduces direct reflections quite a bit - Makes colors appear darker/more rich - Protects the screen What it doesn't do - Angled reflections don't seem to be reduced much? - Doesn't make the screen bulletproof lol They also claim it's fingerprint and smudge proof but I haven't really had that issue with any of my screen protectors so 🤷 It's challenging to show just how much nicer this screen protector is but the video does a pretty decent job I think JSAUX's Obsidian AR Screen Protector for Switch 2 isn't currently available on Amazon (and according to them it won't be for.. awhile? Like maybe not until next year?) but you can pre-order it on their website and I begged them for a discount code for y'all you're welcome: USE COUPON CODE 15Nintendeal

OK I'm gonna be real with you-- I've been under the impression that screen protectors are all basically the same thing, the only real difference being the applicator tool that comes in the box. But JSAUX has changed my opinion with their new (slightly silly named) Obsidian AR Screen Protector. I've been using it for about a month now after removing my old screen protector and here are my thoughts What it does - Reduces direct reflections quite a bit - Makes colors appear darker/more rich - Protects the screen What it doesn't do - Angled reflections don't seem to be reduced much? - Doesn't make the screen bulletproof lol They also claim it's fingerprint and smudge proof but I haven't really had that issue with any of my screen protectors so 🤷 It's challenging to show just how much nicer this screen protector is but the video does a pretty decent job I think JSAUX's Obsidian AR Screen Protector for Switch 2 isn't currently available on Amazon (and according to them it won't be for.. awhile? Like maybe not until next year?) but you can pre-order it on their website and I begged them for a discount code for y'all you're welcome: USE COUPON CODE 15Nintendeal

Nintendeal

187,990 görüntüleme • 9 ay önce

I reverse engineered iMessage so it sends you a notification whenever someone starts typing... Here's how it works. 1. The app injects its own code into the iMessage app using DYLD_INSERT_LIBRARIES to hook into its internal methods 2. Dynamically loads Apple's private IMCore.framework at runtime. This is iMessage's internal framework that handles all message/typing logic, but it's not publicly available so it can't be linked normally 3. Replaces private methods like IMMessageItem.isIncomingTypingMessage to intercept typing events 4. When intercepted, the injected code posts system notifications 5. My Swift app listens for those notifications and forwards them to iOS The one caveat is you need to disable some security features on your Mac 🙃. Trying to find a better approach for this though! More features coming. Sign up for access:

I reverse engineered iMessage so it sends you a notification whenever someone starts typing... Here's how it works. 1. The app injects its own code into the iMessage app using DYLD_INSERT_LIBRARIES to hook into its internal methods 2. Dynamically loads Apple's private IMCore.framework at runtime. This is iMessage's internal framework that handles all message/typing logic, but it's not publicly available so it can't be linked normally 3. Replaces private methods like IMMessageItem.isIncomingTypingMessage to intercept typing events 4. When intercepted, the injected code posts system notifications 5. My Swift app listens for those notifications and forwards them to iOS The one caveat is you need to disable some security features on your Mac 🙃. Trying to find a better approach for this though! More features coming. Sign up for access:

Seif Abdelaziz

230,752 görüntüleme • 9 ay önce

Two months ago, I was fighting for my life with $100 to my name. 45 days later… That dinner turned inspired me to turn it up a notch and with a goal to book a 7-day vacation for my entire family of eight on an island. Flights. Resort. Everything, covered by me. And today, we’ve officially hit six figures, with seven loading. Not by luck. Not by chasing. By conviction over volume, patience, sniper entries, risk management, and belief when everything said quit. To the one grinding in silence, feeling like it’s over; It’s not. Your time is coming. Keep showing up. Keep the faith. Remember, You’re not alone.

Two months ago, I was fighting for my life with $100 to my name. 45 days later… That dinner turned inspired me to turn it up a notch and with a goal to book a 7-day vacation for my entire family of eight on an island. Flights. Resort. Everything, covered by me. And today, we’ve officially hit six figures, with seven loading. Not by luck. Not by chasing. By conviction over volume, patience, sniper entries, risk management, and belief when everything said quit. To the one grinding in silence, feeling like it’s over; It’s not. Your time is coming. Keep showing up. Keep the faith. Remember, You’re not alone.

Nofe

43,546 görüntüleme • 1 yıl önce

HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:

HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:

elvis

18,374 görüntüleme • 3 ay önce

Why does my cat stalk towards me as though I am prey? I only caught the tail end of this occurrence in the video, but about once a week I notice my cat (5 months) stalking towards me like this (she typically starts from much farther away and goes even slower). The weirdest part to me is that she only really does it towards me, not my husband. I’ve also seen her stalk prey before and she doesn’t usually continuously move in slow motion like this, she typically walks forward, pauses and assesses for a while, and then goes for the kill. Usually when she does this to me, she ends up snapping out of it due to movement or sound elsewhere, so she’s never pounced or anything - at most she jumps up next to me and then goes back to normal. I’m a new cat owner so this may be typical behavior, but it is so bizarre to me that this behavior seems reserved for me alone - not my husband, not our dog who she loves wrestling with (thanks reddit for clearing that up), and not the bugs she preys on. I was laughing in this video because she was cracking me up, but sometimes it genuinely freaks me out a bit, I feel like prey and I don’t like it 😶 I would love to hear any thoughts on the matter, if nothing else just enjoy this clip of my cat being an apex predator lol

Why does my cat stalk towards me as though I am prey? I only caught the tail end of this occurrence in the video, but about once a week I notice my cat (5 months) stalking towards me like this (she typically starts from much farther away and goes even slower). The weirdest part to me is that she only really does it towards me, not my husband. I’ve also seen her stalk prey before and she doesn’t usually continuously move in slow motion like this, she typically walks forward, pauses and assesses for a while, and then goes for the kill. Usually when she does this to me, she ends up snapping out of it due to movement or sound elsewhere, so she’s never pounced or anything - at most she jumps up next to me and then goes back to normal. I’m a new cat owner so this may be typical behavior, but it is so bizarre to me that this behavior seems reserved for me alone - not my husband, not our dog who she loves wrestling with (thanks reddit for clearing that up), and not the bugs she preys on. I was laughing in this video because she was cracking me up, but sometimes it genuinely freaks me out a bit, I feel like prey and I don’t like it 😶 I would love to hear any thoughts on the matter, if nothing else just enjoy this clip of my cat being an apex predator lol

We Assess Cats 🐾

81,163 görüntüleme • 10 ay önce

🎈Here’s how I’m stepping into my new personal year, because today is My Birthday!🎈 Despite all the challenges, I’ve been incredibly fortunate this year to continue to learn, grow, reflect, and remain determined. Living in a country at war, I realized a while back that the battles we fight aren’t just external, but internal as well. 👸🏼And so I know there are big decisions ahead—both personally and professionally. Change is inevitable, and I’ll do my best to embrace it with dignity & strength. 🧸Thank you for standing with me, for standing with Ukraine, and for believing in a better tomorrow: I see you, I hear you, and I am deeply grateful. With love, Maria 🖤

🎈Here’s how I’m stepping into my new personal year, because today is My Birthday!🎈 Despite all the challenges, I’ve been incredibly fortunate this year to continue to learn, grow, reflect, and remain determined. Living in a country at war, I realized a while back that the battles we fight aren’t just external, but internal as well. 👸🏼And so I know there are big decisions ahead—both personally and professionally. Change is inevitable, and I’ll do my best to embrace it with dignity & strength. 🧸Thank you for standing with me, for standing with Ukraine, and for believing in a better tomorrow: I see you, I hear you, and I am deeply grateful. With love, Maria 🖤

Maria Drutska 🇺🇦

140,868 görüntüleme • 1 yıl önce

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

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

Brian Roemmele

152,242 görüntüleme • 7 ay önce

Building a personal knowledge base for my agents is increasingly where I spend my time these days. Like Andrej Karpathy, I also use Obsidian for my MD vaults. What's different in my approach is that I curate research papers on a daily basis and have actually tuned a Skill for months to find high-signal, relevant papers. I was reviewing and curating papers manually for some time, but now it's all automated as it has gotten so good at capturing what I consider the best of the best. There are so many papers these days, so this is a big deal. You all get to benefit from that with the papers I feature in my timeline and on DAIR.AI. The papers are indexed using tobi lutke qmd cli tool (all of it in markdown files along with useful metadata). So good for semantic search and surfacing insights, unlike anything out there. I am a visual person, so I then started to experiment with how to leverage this personal knowledge base of research papers inside my new interactive artifact generator (mcp tools inside my agent orchestrator system). The result is what you see in the clip. 100s of papers with all sorts of insights visualized. I keep track of research papers daily, so believe me when I tell you that this system is absolutely insane at surfacing insights. This is the result of months of tinkering on how to index research and leverage agent automations for wikification and robust documentation. But this is just the beginning. The visual artifact (which is interactive too) can be changed dynamically as I please. I can prompt my agent to throw any data at it. I can add different views to the data. Different interactions. I feel like this is the most personalized research system I have ever built and used, and it's not even close. The knowledge that the agents are able to surface from this basic setup is already extremely useful as I experiment with new agentic engineering concepts. I feel like this knowledge layer and the higher-level ones I am working on will allow me to maximize other automation tools like autoresearch. The research is only as good as the research questions. And the research questions are only as good as the insights the agents have access to. Where I am spending time now is on how to make this more actionable. I am obsessed about the search problem here. The automations, autoresearch, ralph research loop (I built one months ago) are easier to build but are only as good as what you feed them. Work in progress. More updates soon. Back to building.

Building a personal knowledge base for my agents is increasingly where I spend my time these days. Like Andrej Karpathy, I also use Obsidian for my MD vaults. What's different in my approach is that I curate research papers on a daily basis and have actually tuned a Skill for months to find high-signal, relevant papers. I was reviewing and curating papers manually for some time, but now it's all automated as it has gotten so good at capturing what I consider the best of the best. There are so many papers these days, so this is a big deal. You all get to benefit from that with the papers I feature in my timeline and on DAIR.AI. The papers are indexed using tobi lutke qmd cli tool (all of it in markdown files along with useful metadata). So good for semantic search and surfacing insights, unlike anything out there. I am a visual person, so I then started to experiment with how to leverage this personal knowledge base of research papers inside my new interactive artifact generator (mcp tools inside my agent orchestrator system). The result is what you see in the clip. 100s of papers with all sorts of insights visualized. I keep track of research papers daily, so believe me when I tell you that this system is absolutely insane at surfacing insights. This is the result of months of tinkering on how to index research and leverage agent automations for wikification and robust documentation. But this is just the beginning. The visual artifact (which is interactive too) can be changed dynamically as I please. I can prompt my agent to throw any data at it. I can add different views to the data. Different interactions. I feel like this is the most personalized research system I have ever built and used, and it's not even close. The knowledge that the agents are able to surface from this basic setup is already extremely useful as I experiment with new agentic engineering concepts. I feel like this knowledge layer and the higher-level ones I am working on will allow me to maximize other automation tools like autoresearch. The research is only as good as the research questions. And the research questions are only as good as the insights the agents have access to. Where I am spending time now is on how to make this more actionable. I am obsessed about the search problem here. The automations, autoresearch, ralph research loop (I built one months ago) are easier to build but are only as good as what you feed them. Work in progress. More updates soon. Back to building.

elvis

465,799 görüntüleme • 4 ay önce

The Visual Studio Code insiders version that just shipped and will ship in the next few days will come with an insane amount of new capabilities. A few highlights: - You can now run sub-agents in parallel. Yes, really. I even attached a video. - Major UX improvements for sub agents, especially visible in the chat window - A new search tool wrapped as a sub-agent that iteratively runs multiple search tools: semantic_search, file_search, grep_search Which connects nicely to the point above: multiple searches running in parallel, efficiently and fast - Anthropic’s Message API is now enabled by default - You can choose the model for the cloud agent (three available, all premium) - Extended thinking support when using the Claude cloud agent This is part of the broader multi-vendor cloud support under AgentsHQ I wrote about a few weeks ago - Tasks sent to the background agent (basically the CLI tool) now always run in isolation, each with its own git worktree - In a multi-repo workspace, assigning a task to a cloud agent prompts you to choose the target repo Same behavior when opening an empty workspace with no repo - Support for building an external index for files not supported by GitHub’s default indexing - UI/UX improvements for starting new sessions and switching between local / background / cloud agents - Skills are now first-class citizens, just like prompt files, with better UX indicating when a skill is loaded - Improved API for dynamic contribution of prompt files New V2 includes skills as part of the model. Curious to see the extensions that will leverage this - Finally, initial support for showing context usage percentage per session - Skills are enabled by default - Resizable chat window and session view. Small thing, but it was driving me crazy 😁 - A new integrated browser meant to replace the old simple browser Maybe the beginning of real browser use? - Better UI/UX for token streaming in chat - Ability to index external files not supported by GitHub There’s a lot more. Some of it hasn’t fully landed yet, but everything that has is already in Insiders. The next stable release should drop in early February. As usual, I’m just shocked by the volume of features this team ships every month. After the holiday slowdown, this one is shaping up to be a wild release.

The Visual Studio Code insiders version that just shipped and will ship in the next few days will come with an insane amount of new capabilities. A few highlights: - You can now run sub-agents in parallel. Yes, really. I even attached a video. - Major UX improvements for sub agents, especially visible in the chat window - A new search tool wrapped as a sub-agent that iteratively runs multiple search tools: semantic_search, file_search, grep_search Which connects nicely to the point above: multiple searches running in parallel, efficiently and fast - Anthropic’s Message API is now enabled by default - You can choose the model for the cloud agent (three available, all premium) - Extended thinking support when using the Claude cloud agent This is part of the broader multi-vendor cloud support under AgentsHQ I wrote about a few weeks ago - Tasks sent to the background agent (basically the CLI tool) now always run in isolation, each with its own git worktree - In a multi-repo workspace, assigning a task to a cloud agent prompts you to choose the target repo Same behavior when opening an empty workspace with no repo - Support for building an external index for files not supported by GitHub’s default indexing - UI/UX improvements for starting new sessions and switching between local / background / cloud agents - Skills are now first-class citizens, just like prompt files, with better UX indicating when a skill is loaded - Improved API for dynamic contribution of prompt files New V2 includes skills as part of the model. Curious to see the extensions that will leverage this - Finally, initial support for showing context usage percentage per session - Skills are enabled by default - Resizable chat window and session view. Small thing, but it was driving me crazy 😁 - A new integrated browser meant to replace the old simple browser Maybe the beginning of real browser use? - Better UI/UX for token streaming in chat - Ability to index external files not supported by GitHub There’s a lot more. Some of it hasn’t fully landed yet, but everything that has is already in Insiders. The next stable release should drop in early February. As usual, I’m just shocked by the volume of features this team ships every month. After the holiday slowdown, this one is shaping up to be a wild release.

Oren Melamed

29,555 görüntüleme • 7 ay önce