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New ship 🚢 Thanks to our partnership, Profound Agents now have a Noble node so you can secure brand mentions on auto-pilot. Now, you can build an Agent that: 1/ Knows the prompts that matter most to your brand 2/ Finds the third-party sources AI platforms are citing for...

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Dylan Babbs

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49,059 görüntüleme • 2 ay önce •via X (Twitter)

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Here's how to track your "AI visibility" across ChatGPT, Perplexity and Google’s AI Overviews: [Watch the 3-min video] Ahrefs' Brand Radar runs on a massive database of prompts: 🔸 957k ChatGPT prompts 🔸 953.5k Perplexity prompts 🔸 76.7M AI Overviews This gives you an instant snapshot of your brand’s presence across the three most popular “AI search engines” - and shows how you stack up against your competitors. You can then filter for LLM outputs where your competitors are mentioned but your brand is not, and use that data to inform your product, content and PR strategies. Check it out and let us know what you think! 👀
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Here's how to track your "AI visibility" across ChatGPT, Perplexity and Google’s AI Overviews: [Watch the 3-min video] Ahrefs' Brand Radar runs on a massive database of prompts: 🔸 957k ChatGPT prompts 🔸 953.5k Perplexity prompts 🔸 76.7M AI Overviews This gives you an instant snapshot of your brand’s presence across the three most popular “AI search engines” - and shows how you stack up against your competitors. You can then filter for LLM outputs where your competitors are mentioned but your brand is not, and use that data to inform your product, content and PR strategies. Check it out and let us know what you think! 👀

Ahrefs

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Sorry to break it to you, but if you think AI can automate all your marketing, you’re probably going to be disappointed. Yes, AI can write your posts. It can create images. It can analyze data. It can even help you build campaigns faster. But faster does not always mean better. AI still needs someone to tell it what matters. It needs someone to understand the customer, choose the right message, and decide what is actually worth creating. Because your goal is not to produce more content. Your goal is to become more visible. You need to know where people are discovering your brand. Are you showing up on Google? Are you being mentioned by ChatGPT and other AI platforms? Are your competitors showing up more often than you? That is where AI becomes useful. Not when it replaces your marketing, but when it helps you see what you could not see before. With you can track your share of visibility across search and AI platforms. You can see where your brand appears, where your competitors are winning, and which topics could help you get mentioned more often. So do not use AI to put your marketing on autopilot. Use it to make better decisions, move faster, and become harder to ignore.
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Sorry to break it to you, but if you think AI can automate all your marketing, you’re probably going to be disappointed. Yes, AI can write your posts. It can create images. It can analyze data. It can even help you build campaigns faster. But faster does not always mean better. AI still needs someone to tell it what matters. It needs someone to understand the customer, choose the right message, and decide what is actually worth creating. Because your goal is not to produce more content. Your goal is to become more visible. You need to know where people are discovering your brand. Are you showing up on Google? Are you being mentioned by ChatGPT and other AI platforms? Are your competitors showing up more often than you? That is where AI becomes useful. Not when it replaces your marketing, but when it helps you see what you could not see before. With you can track your share of visibility across search and AI platforms. You can see where your brand appears, where your competitors are winning, and which topics could help you get mentioned more often. So do not use AI to put your marketing on autopilot. Use it to make better decisions, move faster, and become harder to ignore.

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we built the most advanced ai visibility platform. why? because brands are showing up on google but getting ignored by chatgpt, perplexity, and ai overviews. that’s a big problem. you don’t just need to rank — you need to exist where users are actually asking questions now. this tool helps you: – track where your or your client's brand gets mentioned (or not) – see your ai visibility % + market share – gives drill-down views into things like prompts, answers, citations and more – benchmark competitors and then helps you take action by: – helping you find missing citations and prompts – generating GEO+SEO optimized content to fill the gaps – optimizing existing content basically: everything google analytics + ahrefs won’t show you. 🔗 comment "AI visibility" in the comment to get access

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We built our own Brand Agent for Lovable 🔥 Our team can now search, request, or even generate brand assets directly through an AI agent. It’s trained on our brand guidelines, values, and design system so whatever you ask it stays on brand. Why this is powerful: 1/ One source of truth for all brand assets 2/ Consistency across brand, design, and marketing 3/ Brand knowledge embedded directly into an AI agent 4/ Accessible to anyone We love building internal tools!! Go build your own brand agent!

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My SEO Backlink Strategy to Rank on ChatGPT: (How I'm building links from pages that ChatGPT is referencing in answers) When you query on ChatGPT & LLMs, it references resources online then creates an answer. For example: "What are the best eCommerce accounting services?" ChatGPT scours its "sources" & determines what is the best possible answer. Its "sources" are best of lists, review sites, domain authority, and domain content. When your brand is mentioned in more of these "sources", the more ChatGPT mentions you get. Here's my process: Step #1: Analyze Domain in Writesonic - Go to GEO --> Enter your domain --> Follow prompts --> Wait for results - This gives you a full breakdown of visibility, citations, queries, etc. - A full scope overview of how you're performing on ChatGPT & LLMs Step #2: Citation Opportunities - Scroll down to "Page-level citation opportunities" - This gives you a full list of pages ChatGPT is citing in queries relevant to your brand where you're NOT mentioned yet - These are backlinks you should be aiming to get. Step #3: Build Backlinks - Build a spreadsheet to track ALL of these backlink opp's - Research & find the website owner's name, email, & LinkedIn - Reach out pitching why your company should be included - Follow up until you've landed the backlink Step #4: Review, Analyze, & Adjust - ChatGPT & LLMs are evolving at a rapid pace - Check back on data in Writesonic every 1-2 weeks - Find new backlink opp's, add them to your list, and outreach - Do this on repeat until you're mentioned everywhere --- Is this helpful? ♻️ REPOST if you think so & want more like it. P.S. Want data like this? Check out Writesonic today & test it on your own website.

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NEW: Introducing Octane AI Agentic Commerce Quizzes - Increase sales with AI. What is it? A sales quiz AI agent that makes 1-1 personalized sales experiences for every single customer. In real time. Powered by our new AI model CORE-1. Examples: 📸 Want to ask your customer to take a selfie and your AI agent automatically recommends them a full outfit from your catalog? Octane AI agents can do that. 🪞 Want to have an AI agent hand pick out each product for a personalized skin care routine? Want them to upload a selfie to detect their skin tone? Octane AI agents can do can that. 📊 Want to create an incredibly detailed report with graphs and tables and graphics thats generated by AI for each customer? Octane AI agents can do that. We give you the building blocks and you can build anything. And you can build it fast because our AI will do the heavy lifting for you. This is v1 and a representation of where our commerce and quiz technology is headed. Available today to everyone at 🆕 What we are launching today: • Smart Quiz Builder: Have an AI agent plan out and build your Octane AI quiz for you. It can even write custom HTML for beautiful results pages and progress bars. • Smart Products: It can take forever to setup the recommendation logic for a quiz. For those of you who need help, simply add smart products to your Octane AI quiz and your very own AI agent will hand-pick products for each customer who takes your quiz. It’s amazing. • Smart Copy: Instead of showing everyone who takes your quiz the exact same copy, use AI to personalize the quiz for every single person who takes it. Explain why these specific products are perfect for specifically them. • Image Analyzer: Let your customers upload or take a photo during the quiz and have AI analyze it. You can use this for anything from skin tone detection to picking out outfits! • Shopping Assistant: An AI agent that lives on your store that can help your customers at the right time. We have been building quiz software for almost 10 years now and AI is enabling us to make quizzes even more powerful. This is just the v1 of what we will be releasing in this area. We are so excited to see what you create with these new agentic products. Get creative, we think you will be surprised at how many interesting experiences you can create with Octane AI now.

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It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.

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Building with AI gets easier every day. Here is an open-source library that makes integrating AI into an application extremely easy: Star the repository! This library alone can make React the best front-end framework out there! There are a bunch of cool things I like about CopilotKit. Here are 3 of them: 1. It allows you to take any -powered agent and bring it into your application. (This is a brand-new feature!) 2. You can build an AI-powered chatbot in your application. The chatbot will have access to your context and can act on the application. 3. You can build a RAG workflow to process and answer questions from a real-time knowledge base. I recorded a video to show you how simple it is to make some of this happen. A few lines of code, and you are in business. Here is a link to the sample application: CopilotKit is open-source. You can self-host it. You can use it with any LLM. Thanks to the team for showing me their tool and collaborating with me on this post!

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AI Overviews are showing up for more and more searches. And when they do, fewer people click. That’s the part everyone is panicking about. Google gives the answer right there, so the user doesn’t always need to visit your site. But SEO is not dead. The game just changed. Because now your job is not only to rank on Google. Your job is to become the source AI trusts enough to recommend. That means showing up in Google AI Overviews, ChatGPT, Perplexity, Gemini, and all the other places people are asking questions. This is why tools like Ubersuggest matter even more now. You can use it to see what people are searching for, what questions they’re asking, what competitors rank for, and where your content gaps are. Then you turn that into better answers. Not generic blog posts. Real expertise. Real examples. Clear explanations. Content that both humans and AI can understand, trust, and cite. And your website still matters because that’s where attention turns into action. AI can summarize information. But it does not close the deal for you. It does not build the relationship. It does not replace your proof, your offer, or your brand. So save this action plan.
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AI Overviews are showing up for more and more searches. And when they do, fewer people click. That’s the part everyone is panicking about. Google gives the answer right there, so the user doesn’t always need to visit your site. But SEO is not dead. The game just changed. Because now your job is not only to rank on Google. Your job is to become the source AI trusts enough to recommend. That means showing up in Google AI Overviews, ChatGPT, Perplexity, Gemini, and all the other places people are asking questions. This is why tools like Ubersuggest matter even more now. You can use it to see what people are searching for, what questions they’re asking, what competitors rank for, and where your content gaps are. Then you turn that into better answers. Not generic blog posts. Real expertise. Real examples. Clear explanations. Content that both humans and AI can understand, trust, and cite. And your website still matters because that’s where attention turns into action. AI can summarize information. But it does not close the deal for you. It does not build the relationship. It does not replace your proof, your offer, or your brand. So save this action plan.

Neil Patel

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Today, Profound is launching Aim, the first background agent purpose-built for marketers. For months, we've been obsessed with one problem: dashboards tell you what's happening, but not how to act on the data. Aim is the agent harness designed specifically for marketing. Aim is trained from scratch on Profound's proprietary data, grounded in our research, and understands how marketers get work done. Aim analyzes your AI Search data, Prompt Volumes, competitive insights, and Knowledge Base to surface the opportunities worth acting on. It finds the anomalies that matter so you can spend your time on what moves the needle. Every Project comes with a data-backed brief and recommended tasks. From there, you can: • Chat with Aim to refine the plan • Deploy the custom Agent in one click • Track progress automatically Aim is your newest teammate keeping you moving in the right direction, working 24/7.

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🌟ABLO: Now with Online Ordering 🌟 For those who love ABLO, you already know how powerful our AI design tool can be. Today we're excited to launch GLOBAL PRINTING & SHIPPING with Printful where you can have your designs shipped straight to your customers' door! And there's more. We're thrilled to announce our partner Story Protocol Legacy's final Testnet is going live today! This means that soon, everything you design on ABLO is immediately registered as an IP on blockchain and can start earning royalties on every sale.

ABLO

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PhD Students – How to find references to cite in your paper in seconds? Finding relevant references to cite is a time-consuming task. Now you can automate this whole process. Meet 𝐒𝐨𝐮𝐫𝐜𝐞𝐥𝐲 – a tool that recommends citations for your paper. 𝐇𝐨𝐰 𝐒𝐨𝐮𝐫𝐜𝐞𝐥𝐲 𝐰𝐨𝐫𝐤𝐬? 1. Go to 2. Paste your text e.g., essay, paragraph, or draft 3. Click Find sources 4. Sourcely find relevant references for your text 5. Now, you can do the following - View the source - Summarize it instantly - Read the full text if you have to - Click Add Citation 6. Reference will be inserted in the required part 𝐔𝐬𝐢𝐧𝐠 𝐒𝐨𝐮𝐫𝐜𝐞𝐥𝐲 𝐟𝐨𝐫 𝐜𝐢𝐭𝐚𝐭𝐢𝐨𝐧𝐬 𝐡𝐚𝐬 𝟒 𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬 ✦ Unlike ChatGPT, it recommends reliable citations ✦ The whole process is very transparent ✦ The citations automatically get inserted in your text ✦ The process is very quick and super easy Try Sourcely today for citations:

Faheem Ullah

17,185 görüntüleme • 1 ay önce

The Marketing Engineer is the most important hire a marketing team can make in 2026. Not to run campaigns, but to build the agents that run them. Today we're introducing a new role to the marketing org: 𝗧𝗵𝗲 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 We believe every business on the planet will eventually need one. Their job is to build the Agents, automations, and systems that create a new kind of marketing. Part-builder, part-strategist. They build Agents that monitor media coverage, flag sentiment shifts, and draft journalist outreach before your PR team even knows there's a story. They build Agents that track every competitor move, grade its severity, and rewrite your battle cards and talk tracks before your next sales call. They build Agents that turn every webinar into a brand-voice article, refreshed weekly and queued for your team to review before posting. Our first marketing hire Nick Lafferty has already become Profound's Founding Marketing Engineer, the first person to hold this title at a company fully behind it. Every marketing team on the planet will use AI to do their jobs better. But to build truly impactful systems, you need an owner and an orchestrator. That's the Marketing Engineer.
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The Marketing Engineer is the most important hire a marketing team can make in 2026. Not to run campaigns, but to build the agents that run them. Today we're introducing a new role to the marketing org: 𝗧𝗵𝗲 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 We believe every business on the planet will eventually need one. Their job is to build the Agents, automations, and systems that create a new kind of marketing. Part-builder, part-strategist. They build Agents that monitor media coverage, flag sentiment shifts, and draft journalist outreach before your PR team even knows there's a story. They build Agents that track every competitor move, grade its severity, and rewrite your battle cards and talk tracks before your next sales call. They build Agents that turn every webinar into a brand-voice article, refreshed weekly and queued for your team to review before posting. Our first marketing hire Nick Lafferty has already become Profound's Founding Marketing Engineer, the first person to hold this title at a company fully behind it. Every marketing team on the planet will use AI to do their jobs better. But to build truly impactful systems, you need an owner and an orchestrator. That's the Marketing Engineer.

Dylan Babbs

324,037 görüntüleme • 3 ay önce

You can now create a REAL-TIME chatbot with any voice and customize its personality. Steps: 1. Go to ElevenLabs 2. Click on voices 3. you can type in a name for the voice 4. then you can drag in an audio file to use for your voice 5. then go to the agents tab in side panel 6. and create a new agent 7. the voice 8. Create system instructions 9. Optional (Upload knowledge docs) 10. Test This can be easily implemented into your applications. I'll make a tutorial on that soon.
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You can now create a REAL-TIME chatbot with any voice and customize its personality. Steps: 1. Go to ElevenLabs 2. Click on voices 3. you can type in a name for the voice 4. then you can drag in an audio file to use for your voice 5. then go to the agents tab in side panel 6. and create a new agent 7. the voice 8. Create system instructions 9. Optional (Upload knowledge docs) 10. Test This can be easily implemented into your applications. I'll make a tutorial on that soon.

Riley Brown

40,108 görüntüleme • 1 yıl önce

PhD Students – How to automatically identify 90% of the issues in your research paper before you submit it to a journal? This is possible through manual or automated paper review. First, let’s understand the following. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰? Paper review is a process in which subject matter experts evaluate your paper based on the following criteria: 1. Significance – Is this research important? 2. Novelty – Is this research new? 3. Methodology – Is this research carried out in the correct way? 4. Verifiability – Can other researchers verify this research? 5. Presentation – Is the research presented in the right way? 𝐖𝐡𝐲 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰𝐞𝐝 𝐛𝐞𝐟𝐨𝐫𝐞 𝐬𝐮𝐛𝐦𝐢𝐬𝐬𝐢𝐨𝐧? ➟ Identify the critical issues in your paper ➟ Fix those issues to increase the chances of your paper acceptance 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 “𝐬𝐞𝐥𝐟-𝐫𝐞𝐯𝐢𝐞𝐰” 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫? Paperpal just launched an amazing feature – AI Review. Using this feature, you can get instant self-feedback. This feature will help you in the following ways. ➝ Check for gaps in your logic ➝ Get feedback on the structure and flow of your writing ➝ Review your research questions ➝ Identify opportunities to strengthen your paper ➝ Increase the chances of your paper acceptance Here is a step-by-step process for using AI Review feature. Step 1: Go to and login. Step 2: Open an existing document or make a new document Step 3: Go to the right-side bar and click on checks | AI Review. Step 4: For this feature to work there should be more than 150 words. Step 5: Copy and paste your paper. Step 6: Now go to the right side and check the prompts Step 7: With these prompts, you will evaluate your paper. Step 8: You will find various prompts e.g., suggest writing feedback, check flow and structure etc. Step 9: You can select a prompt from the existing prompts or write your custom prompt and execute Step 10: Paperpal will generate feedback as per the prompt. Step 11: Read through the feedback and save it for further use. Use other specific prompts for tailored feedback. Step 12: This way you can evaluate various aspects of your paper yourself. This is a very customized and efficient way of automatically reviewing your paper. You can also go one step further to work on the feedback and improve your paper based on suggestions. Please note that AI Review feature does not replace human or expert reviewers in any way. This feature only aims to provide you with quick self-feedback. Try the AI Review feature of Paperpal. Paperpal link:
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PhD Students – How to automatically identify 90% of the issues in your research paper before you submit it to a journal? This is possible through manual or automated paper review. First, let’s understand the following. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰? Paper review is a process in which subject matter experts evaluate your paper based on the following criteria: 1. Significance – Is this research important? 2. Novelty – Is this research new? 3. Methodology – Is this research carried out in the correct way? 4. Verifiability – Can other researchers verify this research? 5. Presentation – Is the research presented in the right way? 𝐖𝐡𝐲 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰𝐞𝐝 𝐛𝐞𝐟𝐨𝐫𝐞 𝐬𝐮𝐛𝐦𝐢𝐬𝐬𝐢𝐨𝐧? ➟ Identify the critical issues in your paper ➟ Fix those issues to increase the chances of your paper acceptance 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 “𝐬𝐞𝐥𝐟-𝐫𝐞𝐯𝐢𝐞𝐰” 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫? Paperpal just launched an amazing feature – AI Review. Using this feature, you can get instant self-feedback. This feature will help you in the following ways. ➝ Check for gaps in your logic ➝ Get feedback on the structure and flow of your writing ➝ Review your research questions ➝ Identify opportunities to strengthen your paper ➝ Increase the chances of your paper acceptance Here is a step-by-step process for using AI Review feature. Step 1: Go to and login. Step 2: Open an existing document or make a new document Step 3: Go to the right-side bar and click on checks | AI Review. Step 4: For this feature to work there should be more than 150 words. Step 5: Copy and paste your paper. Step 6: Now go to the right side and check the prompts Step 7: With these prompts, you will evaluate your paper. Step 8: You will find various prompts e.g., suggest writing feedback, check flow and structure etc. Step 9: You can select a prompt from the existing prompts or write your custom prompt and execute Step 10: Paperpal will generate feedback as per the prompt. Step 11: Read through the feedback and save it for further use. Use other specific prompts for tailored feedback. Step 12: This way you can evaluate various aspects of your paper yourself. This is a very customized and efficient way of automatically reviewing your paper. You can also go one step further to work on the feedback and improve your paper based on suggestions. Please note that AI Review feature does not replace human or expert reviewers in any way. This feature only aims to provide you with quick self-feedback. Try the AI Review feature of Paperpal. Paperpal link:

Faheem Ullah

15,270 görüntüleme • 1 yıl önce

I just built a Brand Operating System inside Claude Cowork 🤯 A connected system of files that every skill automatically reads from, so your hook writer, brief generator, and script writer all speak in your exact brand voice. All inside Claude Cowork. Perfect for DTC brands and agencies tired of generic AI output that sounds like every other brand in their category. If you're opening a new Claude chat and re-explaining your brand, re-pasting your voice guidelines, and re-describing your customers every single time, a Brand OS fixes the entire loop: → Build 3 foundation files once per brand → Every skill you create reads from the Brand OS automatically → Hook writer pulls your voice + customer pain points → Brief generator pulls your positioning + angles → Script writer pulls the brief + brand DNA → Every output is calibrated to your brand on the first pass No re-briefing Claude on every chat. No editing for an hour to fix generic AI phrasing. No creative that sounds like it could belong to any brand. What you get in the playbook: → The exact Brand OS file structure I use → Templates for all 3 files you can fill in for any brand → The architecture that makes every Claude skill 10x sharper → The exact setup for agencies running a Brand OS per client For agencies: this is how you build a perfect, reusable knowledge base for every client on your roster. Set up the Brand OS once per client, and every campaign after that is already calibrated. I put together a full playbook with the file templates, the architecture, and the exact setup process so you can build your own Brand OS for your brand or your clients. Want it for free? > Like this post > Comment "OS" And I'll send it over (must be following so I can DM)
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I just built a Brand Operating System inside Claude Cowork 🤯 A connected system of files that every skill automatically reads from, so your hook writer, brief generator, and script writer all speak in your exact brand voice. All inside Claude Cowork. Perfect for DTC brands and agencies tired of generic AI output that sounds like every other brand in their category. If you're opening a new Claude chat and re-explaining your brand, re-pasting your voice guidelines, and re-describing your customers every single time, a Brand OS fixes the entire loop: → Build 3 foundation files once per brand → Every skill you create reads from the Brand OS automatically → Hook writer pulls your voice + customer pain points → Brief generator pulls your positioning + angles → Script writer pulls the brief + brand DNA → Every output is calibrated to your brand on the first pass No re-briefing Claude on every chat. No editing for an hour to fix generic AI phrasing. No creative that sounds like it could belong to any brand. What you get in the playbook: → The exact Brand OS file structure I use → Templates for all 3 files you can fill in for any brand → The architecture that makes every Claude skill 10x sharper → The exact setup for agencies running a Brand OS per client For agencies: this is how you build a perfect, reusable knowledge base for every client on your roster. Set up the Brand OS once per client, and every campaign after that is already calibrated. I put together a full playbook with the file templates, the architecture, and the exact setup process so you can build your own Brand OS for your brand or your clients. Want it for free? > Like this post > Comment "OS" And I'll send it over (must be following so I can DM)

Mike Futia

30,200 görüntüleme • 4 ay önce

🌟Help Us Honor Our Heroes🌟 Here Gretchen Smith we're on a mission to change lives, one veteran at a time. Each day, we see the incredible strength and resilience of those who've served, but we also see the struggles that follow. Whether it's helping with medical bills, securing housing, or simply ensuring they have food on the table, your support can make a monumental difference: -Follow us to stay updated on how your support transforms lives. - Donate if you can, almost every dollar goes directly to the veterans who need it most. We operate on 2%. - Subscribe to our X account Gretchen Smith for inspiring stories and direct ways to contribute. - Retweet this message and our vet missions to spread the word far and wide. Together, we can ensure no veteran is left behind. Let's show our gratitude not just in words, but in actions. Join us in this noble cause — because every veteran deserves our support, respect, and love. Thank you for being a part of our community. Together, we're not just helping; we're healing. #CodeOfVets #SupportOurVets #VeteransAid #VeteransFirst
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🌟Help Us Honor Our Heroes🌟 Here Gretchen Smith we're on a mission to change lives, one veteran at a time. Each day, we see the incredible strength and resilience of those who've served, but we also see the struggles that follow. Whether it's helping with medical bills, securing housing, or simply ensuring they have food on the table, your support can make a monumental difference: -Follow us to stay updated on how your support transforms lives. - Donate if you can, almost every dollar goes directly to the veterans who need it most. We operate on 2%. - Subscribe to our X account Gretchen Smith for inspiring stories and direct ways to contribute. - Retweet this message and our vet missions to spread the word far and wide. Together, we can ensure no veteran is left behind. Let's show our gratitude not just in words, but in actions. Join us in this noble cause — because every veteran deserves our support, respect, and love. Thank you for being a part of our community. Together, we're not just helping; we're healing. #CodeOfVets #SupportOurVets #VeteransAid #VeteransFirst

Gretchen Smith

18,647 görüntüleme • 1 yıl önce

What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch
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What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch

GREG ISENBERG

84,381 görüntüleme • 1 ay önce

Yesterday I met with a $100M brand completely swamped trying to build AI agents. They were duct taping together N8n, Gumloop, Make, Lindy and Zapier hoping it would help automate. Here’s the thing: Those tools are great but only if your data is clean, connected, and actually usable by AI. For example you can’t build a real media buying agent if it doesn’t know: – What’s in stock – What your customers LTV – How your sales change by season Triple Whale brings all of your data into one place. So when you ask our AI a question, it doesn’t guess because it already has the data. And it knows how to use it. We’ve spent 920 days and hired 72 full-time engineers to build the most advanced data layer in ecom designed for AI from day one. Wallaroo Media figured it out👇 They dropped every other platform for Triple Whale. ❌ No more scattered agents ❌ No more platform-hopping ✅ Better answers, better automations, better results Shout out to Justin Doyle and the whole Wallaroo team for the incredible partnership!
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Yesterday I met with a $100M brand completely swamped trying to build AI agents. They were duct taping together N8n, Gumloop, Make, Lindy and Zapier hoping it would help automate. Here’s the thing: Those tools are great but only if your data is clean, connected, and actually usable by AI. For example you can’t build a real media buying agent if it doesn’t know: – What’s in stock – What your customers LTV – How your sales change by season Triple Whale brings all of your data into one place. So when you ask our AI a question, it doesn’t guess because it already has the data. And it knows how to use it. We’ve spent 920 days and hired 72 full-time engineers to build the most advanced data layer in ecom designed for AI from day one. Wallaroo Media figured it out👇 They dropped every other platform for Triple Whale. ❌ No more scattered agents ❌ No more platform-hopping ✅ Better answers, better automations, better results Shout out to Justin Doyle and the whole Wallaroo team for the incredible partnership!

Maxx Blank 🐳

47,001 görüntüleme • 1 yıl önce