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(1/9) Academic writing in 2025 is still broken. Word. ChatGPT. Reference managers. Formatting. Reviewer #2. Copy paste. We built a better workflow. Introducing Livewrite, your new AI research assistant that runs directly inside Microsoft Word.

Ross Prager

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36,036 views • 8 months ago •via X (Twitter)

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Stop...Your AI shouldn’t sit in a sidebar. It should actually work inside your notes. AnySlate just made that real. Your AI can: • read your markdown files • edit sections • create docs • search your workspace • organize everything No copy paste No switching tabs No proprietary lock-in Every file is a real .md file Your notes stay portable forever And the wild part — it supports MCP natively So Claude, Cursor, or Windsurf can directly work inside your workspace This is the shift from AI that helps you write to AI that manages your knowledge Real-time collaboration Built-in AI assistant PDF + web publishing Version history Works on Mac Windows Linux + browser This is what a modern markdown editor should look like

Stop...Your AI shouldn’t sit in a sidebar. It should actually work inside your notes. AnySlate just made that real. Your AI can: • read your markdown files • edit sections • create docs • search your workspace • organize everything No copy paste No switching tabs No proprietary lock-in Every file is a real .md file Your notes stay portable forever And the wild part — it supports MCP natively So Claude, Cursor, or Windsurf can directly work inside your workspace This is the shift from AI that helps you write to AI that manages your knowledge Real-time collaboration Built-in AI assistant PDF + web publishing Version history Works on Mac Windows Linux + browser This is what a modern markdown editor should look like

Nainsi Dwivedi

13,617 views • 4 months ago

One trick we discovered for avoiding realistic face moderation issues in Seedance 2.0 is using character turnaround sheets (front / side / back views). The first video is one of our experiment results — and it runs successfully. We’ve now integrated character turnarounds directly into our workflow + canvas system: 1. If your artwork was generated on our site, you can drag the image into the canvas directly from the Assets tab 2. Click the “Character Turnaround” button above the image to automatically generate a 3-view turnaround sheet 3. Create a new video node and use the turnaround sheet directly with Seedance 2.0 inside the workflow I’ve shared the workflow link in the comments if you want to explore the exact prompts, setup, and workflow details.

One trick we discovered for avoiding realistic face moderation issues in Seedance 2.0 is using character turnaround sheets (front / side / back views). The first video is one of our experiment results — and it runs successfully. We’ve now integrated character turnarounds directly into our workflow + canvas system: 1. If your artwork was generated on our site, you can drag the image into the canvas directly from the Assets tab 2. Click the “Character Turnaround” button above the image to automatically generate a 3-view turnaround sheet 3. Create a new video node and use the turnaround sheet directly with Seedance 2.0 inside the workflow I’ve shared the workflow link in the comments if you want to explore the exact prompts, setup, and workflow details.

underwood

32,399 views • 2 months ago

Octav Phase 2 is live. More modular. More professional. Built for the people who actually run capital. DeFi fund managers have been forced to patch together spreadsheets, dashboards, Dune queries, and half-broken bots just to answer basic questions like: What’s my NAV today? What’s my real exposure? Why does nothing reconcile? So we rebuilt Octav from the ground up not as a dashboard… but as a modular financial data platform for digital assets. Introducing Octav Phase 2: A redesigned, professional-grade Octav Pro Built with fund managers, for fund managers. Cleaner UI. Faster workflows. Better reconciliation. Your entire portfolio, finally under control. A more modular architecture Add the pieces you need: NAV engine → PnL → risk → exposure → entity grouping → custom labels. Pick the modules. Build your stack. Scale as you grow. The new Octav API For teams that want to industrialize their reporting. Plug Octav’s data layer into your internal systems, bots, accounting stack, or investor dashboards. It’s fast, accurate, and ready for production. This is what Phase 2 is about: Empowering fund managers to run a professional operation in a market that’s been held together by duct tape. Funds, DAOs, quant desks, allocators your new infrastructure is here. Welcome to Octav Phase 2. Modular. Professional. API-first. Exactly what Digital asset managers needed.

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Octav

15,959 views • 8 months ago

Google Translate is cooked after this. A developer built a local AI translation engine that runs 40 languages entirely on your own laptop. It's called LibreTranslate. No API key. No usage limits. No sending your documents to Google's servers. You install it once. It runs forever. Here's what it handles: → Paste text. Translated instantly. → Drop in a file. Outputs the translated version. → Point it at a URL. Returns the page in your language. → Build it into your own app via its local REST API. The speed is not the story. The privacy is. Google Translate reads every sentence you paste into it. Legal contracts. Medical records. Internal emails. Client documents. Every word goes to their servers and stays there. LibreTranslate runs entirely offline. Nothing leaves your machine. Ever. The numbers: → 40 languages supported → Runs on CPU -- no GPU needed → Self-hosted in under 5 minutes → REST API built in for developers → 10K+ stars on GitHub 100% open source. MIT licensed. Price: $0. Google charges nothing for Translate either but it charges you something else. GitHub:

Google Translate is cooked after this. A developer built a local AI translation engine that runs 40 languages entirely on your own laptop. It's called LibreTranslate. No API key. No usage limits. No sending your documents to Google's servers. You install it once. It runs forever. Here's what it handles: → Paste text. Translated instantly. → Drop in a file. Outputs the translated version. → Point it at a URL. Returns the page in your language. → Build it into your own app via its local REST API. The speed is not the story. The privacy is. Google Translate reads every sentence you paste into it. Legal contracts. Medical records. Internal emails. Client documents. Every word goes to their servers and stays there. LibreTranslate runs entirely offline. Nothing leaves your machine. Ever. The numbers: → 40 languages supported → Runs on CPU -- no GPU needed → Self-hosted in under 5 minutes → REST API built in for developers → 10K+ stars on GitHub 100% open source. MIT licensed. Price: $0. Google charges nothing for Translate either but it charges you something else. GitHub:

Rimsha Bhardwaj

89,396 views • 1 month ago

PhD Students - How to detect AI text in your writing? We often use ChatGPT for writing. However, this leads to AI-plagiarized text. This can be problematic in many scenarios. For example, if you use AI text in your papers. Your research paper can get desk rejected. 🍁How to detect if there is AI text in your writing? 1. Go to and log in. 2. Click on 𝐴𝐼 𝑑𝑒𝑡𝑒𝑐𝑡𝑜𝑟 from the left menu 3. Insert your text and click on 𝐴𝑛𝑎𝑙𝑦𝑧𝑒. 4. will generate AI detection report This report shows the following. → Percentage of AI generated text → Options for converting AI text into non-AI text 🍁How good is this AI detector? SciSpace conducted a benchmarking study. In this study, the detection capability was compared with other AI-detectors. SciSpace AI detector was tested with 4000 samples. It showed an accuracy of 96%. This means it can detect AI-generated text with 96% accuracy. The study showed that SciSpace AI detector has outclassed AI detectors like GPTZero, ZeroGPT, and Grammarly. 🔴Anything you'd like to add?

PhD Students - How to detect AI text in your writing? We often use ChatGPT for writing. However, this leads to AI-plagiarized text. This can be problematic in many scenarios. For example, if you use AI text in your papers. Your research paper can get desk rejected. 🍁How to detect if there is AI text in your writing? 1. Go to and log in. 2. Click on 𝐴𝐼 𝑑𝑒𝑡𝑒𝑐𝑡𝑜𝑟 from the left menu 3. Insert your text and click on 𝐴𝑛𝑎𝑙𝑦𝑧𝑒. 4. will generate AI detection report This report shows the following. → Percentage of AI generated text → Options for converting AI text into non-AI text 🍁How good is this AI detector? SciSpace conducted a benchmarking study. In this study, the detection capability was compared with other AI-detectors. SciSpace AI detector was tested with 4000 samples. It showed an accuracy of 96%. This means it can detect AI-generated text with 96% accuracy. The study showed that SciSpace AI detector has outclassed AI detectors like GPTZero, ZeroGPT, and Grammarly. 🔴Anything you'd like to add?

Faheem Ullah

13,102 views • 9 months ago

I just built a Claude prompt library that runs your entire DTC marketing operation 🤯 100+ prompts organized by function: competitor research, creative briefs, ad copy, hooks, landing pages, performance analysis, customer review mining, and more. Perfect for DTC brands and agencies who are still prompting Claude from scratch every time they open a new chat, rewriting the same context, and getting generic output that sounds like every other AI-generated ad. This prompt library eliminates the entire loop: → Competitor Research: scrape and analyze competitor ads, extract winning hooks, map creative strategies, build competitive battlecards → Creative Briefs: generate data-backed briefs from ad performance, write iteration briefs, new concept briefs, test plans → Ad Copy & Hooks: 20 hooks across 10 frameworks, full ad copy variations, persona-specific angles, fatigue-busting rewrites → Landing Pages: audit any landing page against DR best practices, clone high-converting advertorial structures, write product page copy → Performance Analysis: audit Google Ads accounts, find wasted spend, build visual dashboards, weekly narrative reports → Customer Intelligence: mine reviews for ad copy language, extract objections, find unexpected use cases, build persona cards from real data → SEO & Content: find keyword gaps, write content in your brand voice, optimize product listings for AI shopping (ChatGPT, Gemini) → Email & SMS: launch sequences, weekly newsletters, abandoned cart flows, post-purchase nurture No more blank-page prompting. No more re-explaining your brand every session. No more generic AI output that sounds like a template. What you get: →100+ copy-paste prompts organized by the 8 functions DTC teams actually run →Every prompt pre-loaded with the context structure Claude needs to give you real output →Prompts that reference your brand voice, your ICPs, and your real data — not generic placeholders →A living library you can customize once and reuse across every campaign I put together the full prompt library as a single downloadable playbook: organized by section, ready to copy-paste into Claude today. Want it for free? > Like this post >Comment "PROMPTS" And I'll send it over (must be following so I can DM)

Mike Futia

34,683 views • 3 months ago

Claude + Meta + GPT Image 2 = AI UGC FACTORY Here's the free workflow Real UGC creators charge $150-$500 per video. 5-7 day turnaround. By the time you get 12 variants, your winning angle is already dead. We built a system that does 12 unique video ads in under an hour. Cost per video? Less than your coffee. The stack: • HeyOz (product import + export hub) • Claude (creative director + prompt engine) • GPT Image 2 (photorealistic starting frames) • Seedance 2.0 (animation) Broke down the entire thing in a step-by-step guide. What you'll get: → The exact 5-step workflow from URL to finished ad → 3 copy-paste image prompts (Stanley Quencher example) → 3 matching motion prompts for Seedance → The prompt framework that fixes 90% of bad AI outputs → Why grip specificity is the make-or-break variable most people miss → The 70/30 strategy for scaling (AI for testing, humans for winners) No design skills needed. No Canva. No CapCut. No Adobe. Just paste your product URL. Generate. Export. Launch. If you're running Meta or TikTok ads and your creative rotation is slower than your ad spend, this is for you. Comment "factory" to get access (must be following)

Claude + Meta + GPT Image 2 = AI UGC FACTORY Here's the free workflow Real UGC creators charge $150-$500 per video. 5-7 day turnaround. By the time you get 12 variants, your winning angle is already dead. We built a system that does 12 unique video ads in under an hour. Cost per video? Less than your coffee. The stack: • HeyOz (product import + export hub) • Claude (creative director + prompt engine) • GPT Image 2 (photorealistic starting frames) • Seedance 2.0 (animation) Broke down the entire thing in a step-by-step guide. What you'll get: → The exact 5-step workflow from URL to finished ad → 3 copy-paste image prompts (Stanley Quencher example) → 3 matching motion prompts for Seedance → The prompt framework that fixes 90% of bad AI outputs → Why grip specificity is the make-or-break variable most people miss → The 70/30 strategy for scaling (AI for testing, humans for winners) No design skills needed. No Canva. No CapCut. No Adobe. Just paste your product URL. Generate. Export. Launch. If you're running Meta or TikTok ads and your creative rotation is slower than your ad spend, this is for you. Comment "factory" to get access (must be following)

HeyOz

43,261 views • 2 months ago

📖THE BEST SEEDANCE 2.0 WORKFLOW STARTS INSIDE CHATGPT IMAGE 2 One creator can now go from storyboard to cinematic short film without a camera, actors, or a production crew Most creators use Seedance 2.0 as a video generator. The real power comes from combining ChatGPT Image 2 + Seedance 2.0 into a production pipeline. Here’s the workflow: 1.Create a story idea in ChatGPT. 2.Generate a shot-by-shot storyboard. 3. Build character sheets to lock consistency. 4.Generate every scene in ChatGPT Image 2. 5.Define camera movements and actions. 6.Animate each shot in Seedance 2.0. 7.Stitch the clips together into a finished short film. Why this works: • Consistent characters across scenes • Better storytelling • Precise camera control • Faster iteration • Professional-looking results • One person can do the work of an entire production team Use cases: ⁃Viral AI shorts ⁃YouTube animations ⁃Brand commercials ⁃Educational content ⁃Story-driven ads ⁃Social media content The future of AI video isn’t prompting. It’s building production pipelines. 📥Tomorrow I am sharing a workflow that almost nobody is using but absolutely should be. 🔖 The full breakdown from setup to final export is waiting in the pinned article.

Zentrix⌚️

50,553 views • 1 month ago

Kling 3.0 is out but Sora 2 is still the GOAT when it comes to AI UGC 🤯 And this custom GPT turns your sh*tty Sora 2 prompts into scroll-stopping UGC 🤯 Tell it your product --> get a timeline-based prompt with shot composition, camera angles, lighting, and timing breakdowns. Copy, paste, generate. Perfect for DTC brands and agencies who are tired of AI video output that looks like garbage. Here's the problem: Most people prompt Sora 2 like "make a UGC video of someone using my skincare product" and wonder why the output is unusable. Sora 2 needs hyper-specific instructions—shot type, lighting, scene details, timing cues. Without that, you get slop. This GPT fixes it: → Input your product (supplement, skincare, SaaS, whatever) → It generates a detailed Sora 2 prompt with full scene breakdown → Includes shot composition, camera movement, and timing → Optimized for 9:16 TikTok/Reels format → Copy directly into Sora 2 and generate No 80,000 word "prompting frameworks", just results. What you get: > Professional UGC prompts in 10 seconds > Consistent output quality every time > Prompts built for vertical video formats > Works for any product type Want free access to the Sora 2 Prompt Generator GPT? > Like this post > Comment "UGC" And I'll send it over (must be following so I can DM)

Kling 3.0 is out but Sora 2 is still the GOAT when it comes to AI UGC 🤯 And this custom GPT turns your sh*tty Sora 2 prompts into scroll-stopping UGC 🤯 Tell it your product --> get a timeline-based prompt with shot composition, camera angles, lighting, and timing breakdowns. Copy, paste, generate. Perfect for DTC brands and agencies who are tired of AI video output that looks like garbage. Here's the problem: Most people prompt Sora 2 like "make a UGC video of someone using my skincare product" and wonder why the output is unusable. Sora 2 needs hyper-specific instructions—shot type, lighting, scene details, timing cues. Without that, you get slop. This GPT fixes it: → Input your product (supplement, skincare, SaaS, whatever) → It generates a detailed Sora 2 prompt with full scene breakdown → Includes shot composition, camera movement, and timing → Optimized for 9:16 TikTok/Reels format → Copy directly into Sora 2 and generate No 80,000 word "prompting frameworks", just results. What you get: > Professional UGC prompts in 10 seconds > Consistent output quality every time > Prompts built for vertical video formats > Works for any product type Want free access to the Sora 2 Prompt Generator GPT? > Like this post > Comment "UGC" And I'll send it over (must be following so I can DM)

Mike Futia

22,394 views • 6 months ago

Claude DESTROYS ChatGPT for building VSL funnels. I put together the Claude VSL Prompt Vault (below) I've booked 500+ calls for clients with VSL funnels. $1M generated. These prompts are how I build every single one. The same prompts behind every VSL funnel I've built since 2023. Scripts, landing pages, offer stacks, everything. This is the closest thing to hiring a funnel strategist for free. What's inside the vault: → Custom Claude System Prompt for VSL Scripts → The 5,280-Word VSL Conversion Framework → AI Audience Research Prompt (2-Part Deep Dive) → AI Competitor Funnel Analysis Prompt → AI Hook Generator (15+ Variations by Awareness Level) → AI Proof Stacking Prompt → AI Offer Architecture Builder (2-Part Sequence) → AI Landing Page Copy Prompt → AI VSL Script Audit + Rewrite Prompt Want access to this vault? → Comment "CLAUDE" → Follow and I'll DM the vault!

Claude DESTROYS ChatGPT for building VSL funnels. I put together the Claude VSL Prompt Vault (below) I've booked 500+ calls for clients with VSL funnels. $1M generated. These prompts are how I build every single one. The same prompts behind every VSL funnel I've built since 2023. Scripts, landing pages, offer stacks, everything. This is the closest thing to hiring a funnel strategist for free. What's inside the vault: → Custom Claude System Prompt for VSL Scripts → The 5,280-Word VSL Conversion Framework → AI Audience Research Prompt (2-Part Deep Dive) → AI Competitor Funnel Analysis Prompt → AI Hook Generator (15+ Variations by Awareness Level) → AI Proof Stacking Prompt → AI Offer Architecture Builder (2-Part Sequence) → AI Landing Page Copy Prompt → AI VSL Script Audit + Rewrite Prompt Want access to this vault? → Comment "CLAUDE" → Follow and I'll DM the vault!

Lucas - EffectiveVSL

13,733 views • 4 months ago

I designed these worksheets to turn Agentic AI concepts into simple math problems you can do by hand. ✍️ Download PDF: Problems 1 to 5: 1. Count the tokens: split on spaces, one word per box 2. Subword splitting: when one word is three tokens 3. Punctuation counts: the marks are tokens too 4. Tokens per word: the ratio that turns words into a bill 5. Will it fit? A document against a context window Why am I making these worksheets? AI is making people (including me) think less. It's just too easy to ask AI a few questions about a new AI concept and start to believe I get it. Until recently, we could use a coding problem to practice a new AI concept. But now it has become too easy to ask AI to write the code, and we start to think we must know the concept, since we technically solved a coding problem. Thus, my approach is to recast AI concepts as simple math problems we must solve with pen and paper. Using our hands is one way to motivate ourselves to start thinking again. ✍️ ~ Prof. Tom Yeh

I designed these worksheets to turn Agentic AI concepts into simple math problems you can do by hand. ✍️ Download PDF: Problems 1 to 5: 1. Count the tokens: split on spaces, one word per box 2. Subword splitting: when one word is three tokens 3. Punctuation counts: the marks are tokens too 4. Tokens per word: the ratio that turns words into a bill 5. Will it fit? A document against a context window Why am I making these worksheets? AI is making people (including me) think less. It's just too easy to ask AI a few questions about a new AI concept and start to believe I get it. Until recently, we could use a coding problem to practice a new AI concept. But now it has become too easy to ask AI to write the code, and we start to think we must know the concept, since we technically solved a coding problem. Thus, my approach is to recast AI concepts as simple math problems we must solve with pen and paper. Using our hands is one way to motivate ourselves to start thinking again. ✍️ ~ Prof. Tom Yeh

Tom Yeh

14,606 views • 1 day ago

This week's ChatGPT feature drop - Aug 7: 1/ Rich formatting in our web composer – When you paste in emails or documents, our composer will retain the formatting; copying and pasting is so common, we should have done this a while ago! 2/ Updated model for paid users – GPT 5.6 Sol is more consistent across quick chats and deeper reasoning. You'll now get a slider that lets you choose how much thought ChatGPT puts into a response. The haptics (vibrations) on mobile slider are fun! 3/ Unlimited text messages - Free users will get GPT 5.6 Luna with unlimited text messages. More intelligence for all. Rolling out soon. 4/ Fast Android Camera – We've made it a lot faster on Android to tap "camera" in ChatGPT to take a new photo and ask a question. 5/ Voice x Files - You can now upload files and ask questions in our new ChatGPT voice experience powered by GPT-Live. Team demos were awesome this week. So much in the queue that the next few months are going to be good. Let us know what you're hoping for in the comments!

This week's ChatGPT feature drop - Aug 7: 1/ Rich formatting in our web composer – When you paste in emails or documents, our composer will retain the formatting; copying and pasting is so common, we should have done this a while ago! 2/ Updated model for paid users – GPT 5.6 Sol is more consistent across quick chats and deeper reasoning. You'll now get a slider that lets you choose how much thought ChatGPT puts into a response. The haptics (vibrations) on mobile slider are fun! 3/ Unlimited text messages - Free users will get GPT 5.6 Luna with unlimited text messages. More intelligence for all. Rolling out soon. 4/ Fast Android Camera – We've made it a lot faster on Android to tap "camera" in ChatGPT to take a new photo and ask a question. 5/ Voice x Files - You can now upload files and ask questions in our new ChatGPT voice experience powered by GPT-Live. Team demos were awesome this week. So much in the queue that the next few months are going to be good. Let us know what you're hoping for in the comments!

Adam Fry

284,978 views • 23 hours ago

We have FINALLY solved how to generate infinite static ads completely on autopilot (including copy) and put them in a Drive folder, with ZERO human intervention necessary: 1. Generate ChatGPT headlines and push them into Google Sheets with Zapier. 2. Create one or several design templates for your brand in using their Canva integration 3. Set up a Zap that pushes your Google Sheet copy into the Switchboard template. It will automatically handle text formatting and centering 4. Auto upload the completed design file into Google Drive with Zapier You can do this with infinite design templates and different sources of copy (website reviews, subreddits, etc) so you ALWAYS have brand new ads READY TO GO, organized in the Drive folder of your choice for someone on your team to review and launch. The copy refreshes weekly in this zap according to your prompt. Comment if you want the SOP document for this that outlines it step-by-step!

Peter Czepiga

26,082 views • 1 year ago

Kimi just wiped out Google Docs, Excel, and PowerPoint in one quiet update. While most people still treat AI like a fancy typing assistant, Kimi Premium shipped something completely different: AI that creates finished professional files directly from conversation. Not exports. Not drafts. Real Excel, Word, PPT, and PDFs built at the structural level. Ask for five years of financials on the Magnificent Seven and it doesn’t summarize. It builds a multi-sheet Excel workbook with balance sheets, income statements, cash flows, clean formatting, and sourced data like a senior analyst prepared it. Someone asked for a DCF on Apple. Kimi produced a full valuation model with assumptions, discount rates, scenario analysis, and citations. Another user fed in one payroll Excel file and got 30 individualized, encrypted PDF payslips out. End-to-end automation. It gets crazier. It can generate images inside spreadsheets for storyboards. One prompt produced a 20-shot video storyboard Excel with timing, visuals, voiceover text, sound cues, and consistent sketch images per frame. This isn’t better chat. It’s execution replaced. Kimi doesn’t give you content to paste into tools. It gives you the tools’ final output. That’s the shift everyone missed. Try it here:

Kimi just wiped out Google Docs, Excel, and PowerPoint in one quiet update. While most people still treat AI like a fancy typing assistant, Kimi Premium shipped something completely different: AI that creates finished professional files directly from conversation. Not exports. Not drafts. Real Excel, Word, PPT, and PDFs built at the structural level. Ask for five years of financials on the Magnificent Seven and it doesn’t summarize. It builds a multi-sheet Excel workbook with balance sheets, income statements, cash flows, clean formatting, and sourced data like a senior analyst prepared it. Someone asked for a DCF on Apple. Kimi produced a full valuation model with assumptions, discount rates, scenario analysis, and citations. Another user fed in one payroll Excel file and got 30 individualized, encrypted PDF payslips out. End-to-end automation. It gets crazier. It can generate images inside spreadsheets for storyboards. One prompt produced a 20-shot video storyboard Excel with timing, visuals, voiceover text, sound cues, and consistent sketch images per frame. This isn’t better chat. It’s execution replaced. Kimi doesn’t give you content to paste into tools. It gives you the tools’ final output. That’s the shift everyone missed. Try it here:

Hasan Toor

40,424 views • 6 months ago

Introducing Novo Launching today a new project I coded for myself in 1 weekend in May and decided to finish this week. Novo is a dead simple to-do app that lets you "Speech-To-Tasks", or paste a huge text and organize for you. You can customize the AI and make it organize in any criteria: - Auto-tag by category - Schedule some types of tasks to certain days - Prioritize based on your own rules Try it:

Introducing Novo Launching today a new project I coded for myself in 1 weekend in May and decided to finish this week. Novo is a dead simple to-do app that lets you "Speech-To-Tasks", or paste a huge text and organize for you. You can customize the AI and make it organize in any criteria: - Auto-tag by category - Schedule some types of tasks to certain days - Prioritize based on your own rules Try it:

Pedro

76,232 views • 1 year ago

What are your 3 favorite songs from 'Where the Light Goes?' Let us know the track #'s below! 1. "Friends" 2. "Wild Dogs (Running in a Slow Dream)" 3. "Rebels" 4. "One Hit Love" 5. "Warm Blood" 6. "Queen of New York City" 7. "Where the Light Goes" 8. "Hang on Every Word" 9. "Don't Get Me Wrong" 10. "I Know Better" 11. "No Other Love" 12. "Selling Faith"

What are your 3 favorite songs from 'Where the Light Goes?' Let us know the track #'s below! 1. "Friends" 2. "Wild Dogs (Running in a Slow Dream)" 3. "Rebels" 4. "One Hit Love" 5. "Warm Blood" 6. "Queen of New York City" 7. "Where the Light Goes" 8. "Hang on Every Word" 9. "Don't Get Me Wrong" 10. "I Know Better" 11. "No Other Love" 12. "Selling Faith"

Matchbox Twenty

22,578 views • 2 years ago

GPT’s Images2 × Seedance 2.0 is an absolute game changer ✅ Prompt "Generate a storyboard using a 3×3 grid layout." 1️⃣ Start by combining your concept with the ✅ prompt 2️⃣ Extract a detailed prompt from the result in step 1 3️⃣ Use that image as a reference inside Seedance 4️⃣ Paste the prompt from step 2 into Seedance The limitation? Video flexibility isn’t great yet, so outputs can feel a bit generic. With multiple scenes, the camera work often lacks impact. The key is to experiment with fewer or adjusted grid layouts to get better results.

GPT’s Images2 × Seedance 2.0 is an absolute game changer ✅ Prompt "Generate a storyboard using a 3×3 grid layout." 1️⃣ Start by combining your concept with the ✅ prompt 2️⃣ Extract a detailed prompt from the result in step 1 3️⃣ Use that image as a reference inside Seedance 4️⃣ Paste the prompt from step 2 into Seedance The limitation? Video flexibility isn’t great yet, so outputs can feel a bit generic. With multiple scenes, the camera work often lacks impact. The key is to experiment with fewer or adjusted grid layouts to get better results.

Studio Tora

27,797 views • 3 months ago

n8n + Arcads = AI UGC machine most DTC brands waste hours writing product video scripts, then wait days for creators to deliver UGC content. this automation eliminates both bottlenecks entirely. just add your product details to a Google Sheet -> n8n workflow activates -> google Gemini generates 5 complete video scripts (each using a different proven angle) -> scripts automatically feed into Arcads product Showcase -> you get 5 scroll-stopping product videos in minutes here’s how it works. 1. script generation - reads product name and description from your spreadsheet - gemini creates 5 different 75-90 word scripts using proven angles 2. UGC Production - scripts automatically trigger Arcads Product Showcase - AI places your product in conversion-optimized UGC environments - generates authentic spokesperson interactions - creates 5 complete videos ready for paid social all automated in under 10 minutes. i built the complete n8n workflow + Arcads setup so you can deploy this yourself. comment "AUTO" below and I'll send the full guide. (must be following so I can DM)

n8n + Arcads = AI UGC machine most DTC brands waste hours writing product video scripts, then wait days for creators to deliver UGC content. this automation eliminates both bottlenecks entirely. just add your product details to a Google Sheet -> n8n workflow activates -> google Gemini generates 5 complete video scripts (each using a different proven angle) -> scripts automatically feed into Arcads product Showcase -> you get 5 scroll-stopping product videos in minutes here’s how it works. 1. script generation - reads product name and description from your spreadsheet - gemini creates 5 different 75-90 word scripts using proven angles 2. UGC Production - scripts automatically trigger Arcads Product Showcase - AI places your product in conversion-optimized UGC environments - generates authentic spokesperson interactions - creates 5 complete videos ready for paid social all automated in under 10 minutes. i built the complete n8n workflow + Arcads setup so you can deploy this yourself. comment "AUTO" below and I'll send the full guide. (must be following so I can DM)

J.B.

10,976 views • 7 months ago

Claude Code + ChatGPT Images 2.0 is f*cking cracked 🤯 I rebuilt my static ad system inside Claude Code on the new ChatGPT Images 2.0 model. One brand name + one URL = 40 production-ready static ads. All inside Claude Code. Perfect for DTC brands and agencies who need high-volume ad creative without briefing a designer or spending hours in Canva. If you're finding winning ad concepts on Meta and manually recreating them one at a time — copying prompts, pasting product details, tweaking aspect ratios, downloading, organizing... This system eliminates the entire loop: → Give Claude a brand name and URL → It researches the brand's fonts, colors, packaging, and photography style → Builds a Brand DNA document from scratch → Fills in 40 proven ad templates (headline, us vs them, testimonial, UGC, review cards, stat callouts) with brand-specific details → Fires every prompt to ChatGPT Images 2.0 with your product photos as reference → Downloads finished ads into organized folders with an HTML gallery No manual prompt filling. No Canva templates. No copy-pasting between tools. What you get: → 40 ad formats filled with your exact brand colors, fonts, and copy → Text that actually renders correctly (the new model handles dense copy, logos, and multi-language callouts cleanly) → Product photos passed as reference so the model matches your real packaging → A reusable system — new brand, new folder, same pipeline Built 100% in Claude Code with ChatGPT Images 2.0. I put together a DIY playbook showing the exact architecture so you can build this yourself in Claude Code. Want it for free? > Like this post > Comment "CHAT" And I'll send it over (must be following so I can DM)

Mike Futia

189,229 views • 3 months ago

Claude Code + ChatGPT Images 2.0 is f*cking cracked 🤯 I rebuilt my static ad system inside Claude Code on the new ChatGPT Images 2.0 model. One brand name + one URL = 40 production-ready static ads. All inside Claude Code. Perfect for DTC brands and agencies who need high-volume ad creative without briefing a designer or spending hours in Canva. If you're finding winning ad concepts on Meta and manually recreating them one at a time — copying prompts, pasting product details, tweaking aspect ratios, downloading, organizing... This system eliminates the entire loop: → Give Claude a brand name and URL → It researches the brand's fonts, colors, packaging, and photography style → Builds a Brand DNA document from scratch → Fills in 40 proven ad templates (headline, us vs them, testimonial, UGC, review cards, stat callouts) with brand-specific details → Fires every prompt to ChatGPT Images 2.0 with your product photos as reference → Downloads finished ads into organized folders with an HTML gallery No manual prompt filling. No Canva templates. No copy-pasting between tools. What you get: → 40 ad formats filled with your exact brand colors, fonts, and copy → Text that actually renders correctly (the new model handles dense copy, logos, and multi-language callouts cleanly) → Product photos passed as reference so the model matches your real packaging → A reusable system — new brand, new folder, same pipeline Built 100% in Claude Code with ChatGPT Images 2.0. I put together a DIY playbook showing the exact architecture so you can build this yourself in Claude Code. Want it for free? > Like this post > Comment "CHAT" And I'll send it over (must be following @learnwithella so I can DM)

Ismail Khan

19,790 views • 3 months ago