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𝗖𝗵𝗶𝗻𝗮 𝗷𝘂𝘀𝘁 𝗿𝗲𝗹𝗲𝗮𝘀𝗲𝗱 𝘁𝗵𝗲 #𝟭 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 𝗶𝗺𝗮𝗴𝗲 𝗺𝗼𝗱𝗲𝗹. 𝗬𝗼𝘂'𝗿𝗲 𝘀𝘁𝗶𝗹𝗹 𝗽𝗮𝘆𝗶𝗻𝗴 𝗳𝗼𝗿 𝗠𝗶𝗱𝗷𝗼𝘂𝗿𝗻𝗲𝘆. 𝗤𝘄𝗲𝗻 𝗜𝗺𝗮𝗴𝗲 𝟮.𝟱 𝗶𝘀 𝗳𝗿𝗲𝗲. 𝗔𝗻𝗱 𝗶𝘁 𝗿𝘂𝗻𝘀 𝗼𝗻 𝘆𝗼𝘂𝗿 𝗰𝗼𝗺𝗽𝘂𝘁𝗲𝗿. I tested it against ChatGPT and Gemini. Here's what happened: 1: Qwen generated images 3x faster 2: Zero limits on what you create 3: No... show more

Julian Goldie SEO

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52,918 Aufrufe • vor 6 Monaten •via X (Twitter)

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Julian Goldie SEO

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Julian Goldie SEO

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Julian Goldie SEO

168,502 Aufrufe • vor 5 Monaten

𝗜 𝗺𝗮𝗸𝗲 𝗺𝗼𝗻𝗲𝘆 𝘄𝗵𝗶𝗹𝗲 𝗜 𝘀𝗹𝗲𝗲𝗽. 𝗚𝗼𝗼𝗴𝗹𝗲 𝘀𝗲𝗻𝗱𝘀 𝗺𝗲 𝗳𝗿𝗲𝗲 𝘁𝗿𝗮𝗳𝗳𝗶𝗰 𝗲𝘃𝗲𝗿𝘆 𝗱𝗮𝘆. 𝗔𝗜 𝗱𝗼𝗲𝘀 𝟵𝟬% 𝗼𝗳 𝘁𝗵𝗲 𝘄𝗼𝗿𝗸. Here's the 5-pillar framework → 1: Discovery: Find what people type into Google 2: Creation: Automate content with AI prompts 3: Technical: Let Google understand your content 4: Authority: Get backlinks from other sites 5: Optimize: Double down on what ranks One website went from 0 to 176 clicks per day. The person creating the content has zero SEO experience. They just follow the system. Save this video, you'll stop paying for traffic. Want the SOP? DM me. 💬

𝗜 𝗺𝗮𝗸𝗲 𝗺𝗼𝗻𝗲𝘆 𝘄𝗵𝗶𝗹𝗲 𝗜 𝘀𝗹𝗲𝗲𝗽. 𝗚𝗼𝗼𝗴𝗹𝗲 𝘀𝗲𝗻𝗱𝘀 𝗺𝗲 𝗳𝗿𝗲𝗲 𝘁𝗿𝗮𝗳𝗳𝗶𝗰 𝗲𝘃𝗲𝗿𝘆 𝗱𝗮𝘆. 𝗔𝗜 𝗱𝗼𝗲𝘀 𝟵𝟬% 𝗼𝗳 𝘁𝗵𝗲 𝘄𝗼𝗿𝗸. Here's the 5-pillar framework → 1: Discovery: Find what people type into Google 2: Creation: Automate content with AI prompts 3: Technical: Let Google understand your content 4: Authority: Get backlinks from other sites 5: Optimize: Double down on what ranks One website went from 0 to 176 clicks per day. The person creating the content has zero SEO experience. They just follow the system. Save this video, you'll stop paying for traffic. Want the SOP? DM me. 💬

Julian Goldie SEO

15,494 Aufrufe • vor 6 Monaten

How I turned Claude 4 into my personal browser-controlling AI agent: 1/ Downloaded Claude Desktop (free) → Available for Mac and Windows → No subscription required 2/ Set up MCP configuration → Copy-paste simple config file → Enable browser control permissions 3/ Connected to browser extension → Chrome extension handles the connection → Seamless integration with desktop app 4/ Tested real-world tasks: → Flight searches: Perfect results → LinkedIn scraping: Found 15+ leads → Landing pages: Production-ready code 5/ The game-changer: It runs autonomously → Give it a task, walk away → Come back to completed research Save this video, you'll want this workflow. 🤖 Want the SOP? DM me. 💬

How I turned Claude 4 into my personal browser-controlling AI agent: 1/ Downloaded Claude Desktop (free) → Available for Mac and Windows → No subscription required 2/ Set up MCP configuration → Copy-paste simple config file → Enable browser control permissions 3/ Connected to browser extension → Chrome extension handles the connection → Seamless integration with desktop app 4/ Tested real-world tasks: → Flight searches: Perfect results → LinkedIn scraping: Found 15+ leads → Landing pages: Production-ready code 5/ The game-changer: It runs autonomously → Give it a task, walk away → Come back to completed research Save this video, you'll want this workflow. 🤖 Want the SOP? DM me. 💬

Julian Goldie SEO

44,004 Aufrufe • vor 1 Jahr

𝗥𝘂𝗻 𝗚𝗼𝗼𝗴𝗹𝗲'𝘀 𝗚𝗲𝗺𝗺𝗮 𝟰 + 𝗢𝗽𝗲𝗻𝗖𝗹𝗮𝘄 𝗮𝘀 𝗮 𝗳𝗿𝗲𝗲 𝗽𝗿𝗶𝘃𝗮𝘁𝗲 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝗼𝗻 𝘆𝗼𝘂𝗿 𝗼𝘄𝗻 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗶𝗻 𝟯 𝘀𝘁𝗲𝗽𝘀. No API bills. No usage limits. No subscription. Nothing leaves your computer. Here's the full setup: → Step 1: Go to Download and install. Update to version 0.2.2.0 or higher. → Step 2: Open terminal. Type: ollama pull gemma4. Downloads the model. Done. → Step 3: Install OpenClaw. Select Ollama as your provider. Point it at port 11434. Pick Gemma 4. That's it. Your AI agent is now running locally. Message it through Telegram, Slack, Discord, or WhatsApp like a coworker. Read files. Write code. Remember context across every conversation. All on your own hardware. Gemma 4 ranked number 3 on the global open model leaderboard on launch day. It beat models with 20 times more parameters. The 26B version activates only 4B parameters at a time so you get near large-model quality at small-model speed. Every AI subscription you're paying for right now could be replaced with this.

𝗥𝘂𝗻 𝗚𝗼𝗼𝗴𝗹𝗲'𝘀 𝗚𝗲𝗺𝗺𝗮 𝟰 + 𝗢𝗽𝗲𝗻𝗖𝗹𝗮𝘄 𝗮𝘀 𝗮 𝗳𝗿𝗲𝗲 𝗽𝗿𝗶𝘃𝗮𝘁𝗲 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝗼𝗻 𝘆𝗼𝘂𝗿 𝗼𝘄𝗻 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗶𝗻 𝟯 𝘀𝘁𝗲𝗽𝘀. No API bills. No usage limits. No subscription. Nothing leaves your computer. Here's the full setup: → Step 1: Go to Download and install. Update to version 0.2.2.0 or higher. → Step 2: Open terminal. Type: ollama pull gemma4. Downloads the model. Done. → Step 3: Install OpenClaw. Select Ollama as your provider. Point it at port 11434. Pick Gemma 4. That's it. Your AI agent is now running locally. Message it through Telegram, Slack, Discord, or WhatsApp like a coworker. Read files. Write code. Remember context across every conversation. All on your own hardware. Gemma 4 ranked number 3 on the global open model leaderboard on launch day. It beat models with 20 times more parameters. The 26B version activates only 4B parameters at a time so you get near large-model quality at small-model speed. Every AI subscription you're paying for right now could be replaced with this.

Julian Goldie SEO

36,566 Aufrufe • vor 3 Monaten

Want a free private AI agent on your laptop? Here’s the simple setup. 👇 1. Install Hermes Agent from GitHub. 2. Install Ollama. 3. Download Gemma 4 26B. 4. Use Docker to keep everything contained. 5. Add Firecrawl so the agent can research the web. 6. Connect Telegram so you can chat with it from your phone. 7. Turn on context compression so it stays sharp. 8. Set the daily reset for 4 AM so it refreshes while you sleep. What you get at the end: → local AI agent → private workflow → web research built in → self improving skills → no monthly model rental That is a serious setup for anyone building with AI. Save this video, you’ll have the easiest beginner roadmap to follow later. Want the SOP? DM me. 💬

Want a free private AI agent on your laptop? Here’s the simple setup. 👇 1. Install Hermes Agent from GitHub. 2. Install Ollama. 3. Download Gemma 4 26B. 4. Use Docker to keep everything contained. 5. Add Firecrawl so the agent can research the web. 6. Connect Telegram so you can chat with it from your phone. 7. Turn on context compression so it stays sharp. 8. Set the daily reset for 4 AM so it refreshes while you sleep. What you get at the end: → local AI agent → private workflow → web research built in → self improving skills → no monthly model rental That is a serious setup for anyone building with AI. Save this video, you’ll have the easiest beginner roadmap to follow later. Want the SOP? DM me. 💬

Julian Goldie SEO

31,292 Aufrufe • vor 2 Monaten

NVIDIA QUIETLY DROPPED A $249 BOX THAT REPLACES YOUR $200/MONTH OPENAI SUBSCRIPTION WITH $2 IN ELECTRICITY it's called the jetson orin nano super. smaller than a wallet, runs at 25 watts, does 70 trillion ai operations per second. runs llama 3, mistral, gemma and deepseek locally with no api fees and no data leaving your house a developer running automations and coding assistants pays $200 a month to openai. the same workload on this box costs $2 a month in electricity and breaks even in 10 weeks install ollama with one command. change one line in your code. point it at localhost instead of openai. everything else works identically 7 billion parameter models handle 80% of what people use chatgpt for. summarization, drafting, coding, document q&a, automation pipelines. total monthly cost drops from $200 to $22 cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who set this up in 2025 are going to look very smart in 2027 bookmark this and read the article below

NVIDIA QUIETLY DROPPED A $249 BOX THAT REPLACES YOUR $200/MONTH OPENAI SUBSCRIPTION WITH $2 IN ELECTRICITY it's called the jetson orin nano super. smaller than a wallet, runs at 25 watts, does 70 trillion ai operations per second. runs llama 3, mistral, gemma and deepseek locally with no api fees and no data leaving your house a developer running automations and coding assistants pays $200 a month to openai. the same workload on this box costs $2 a month in electricity and breaks even in 10 weeks install ollama with one command. change one line in your code. point it at localhost instead of openai. everything else works identically 7 billion parameter models handle 80% of what people use chatgpt for. summarization, drafting, coding, document q&a, automation pipelines. total monthly cost drops from $200 to $22 cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who set this up in 2025 are going to look very smart in 2027 bookmark this and read the article below

starmex

2,352,590 Aufrufe • vor 1 Monat

JENSEN HUANG SOLD A $249 AI COMPUTER ON STAGE THAT KILLS YOUR $200/MONTH OPENAI BILL. THE VIDEO HAS 217,000 LIKES the box is called the jetson orin nano super. 70 trillion ai operations per second, 25 watts, smaller than a wallet. it runs llama 3, mistral, gemma and deepseek locally with no api fees and no data leaving your house a developer running automations and coding assistants pays $200 a month to openai. the same workload on this box costs $2 a month in electricity and breaks even on the hardware in 10 weeks you install ollama with one command. change one line in your code. point it at localhost instead of openai. everything else works identically 7 billion parameter models handle 80% of what people use chatgpt for. summarization, drafting, coding, document q&a, automation pipelines. the hard 20% you keep claude or gpt for. total monthly cost drops from $200 to $22 cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who set this up in 2025 are going to look very smart in 2027 bookmark this and read the article below

JENSEN HUANG SOLD A $249 AI COMPUTER ON STAGE THAT KILLS YOUR $200/MONTH OPENAI BILL. THE VIDEO HAS 217,000 LIKES the box is called the jetson orin nano super. 70 trillion ai operations per second, 25 watts, smaller than a wallet. it runs llama 3, mistral, gemma and deepseek locally with no api fees and no data leaving your house a developer running automations and coding assistants pays $200 a month to openai. the same workload on this box costs $2 a month in electricity and breaks even on the hardware in 10 weeks you install ollama with one command. change one line in your code. point it at localhost instead of openai. everything else works identically 7 billion parameter models handle 80% of what people use chatgpt for. summarization, drafting, coding, document q&a, automation pipelines. the hard 20% you keep claude or gpt for. total monthly cost drops from $200 to $22 cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who set this up in 2025 are going to look very smart in 2027 bookmark this and read the article below

starmex

1,996,321 Aufrufe • vor 1 Monat

My agent is now paying for its own data. No API key. No account. No credit card. Check the video I recorded. This uses the x402 open protocol built by Coinbase, along with a simple skill. This is an open protocol governed by the Linux Foundation. To complete a goal, an agent can now search for an actor on the Apify Store, pay for it, and use it without any human intervention. The way it works is pretty simple: 1. Your agent finds an Actor it wants to use 2. It sends a request 3. The Actor sends back an HTTP 402 "Payment Required" response 4. Agent authorizes payment from a wallet in USDC on Base 5. The Actor runs 6. User receives the result The model is pay-as-you-go: the agent authorizes a spending ceiling, pays only for usage, and the remaining balance is automatically settled. This brings an entire marketplace of AI tools into the agentic economy. Here is the skill you need. Add it to your agent, and it will take care of everything for you: If you want to know how this works, including what you can do with $1, read this post: Thanks to the Apify team for partnering with me on this post.

My agent is now paying for its own data. No API key. No account. No credit card. Check the video I recorded. This uses the x402 open protocol built by Coinbase, along with a simple skill. This is an open protocol governed by the Linux Foundation. To complete a goal, an agent can now search for an actor on the Apify Store, pay for it, and use it without any human intervention. The way it works is pretty simple: 1. Your agent finds an Actor it wants to use 2. It sends a request 3. The Actor sends back an HTTP 402 "Payment Required" response 4. Agent authorizes payment from a wallet in USDC on Base 5. The Actor runs 6. User receives the result The model is pay-as-you-go: the agent authorizes a spending ceiling, pays only for usage, and the remaining balance is automatically settled. This brings an entire marketplace of AI tools into the agentic economy. Here is the skill you need. Add it to your agent, and it will take care of everything for you: If you want to know how this works, including what you can do with $1, read this post: Thanks to the Apify team for partnering with me on this post.

Santiago

26,413 Aufrufe • vor 15 Tagen

I just made my own personalized website in minutes using Zero — and it was super easy! 😊 Here's exactly what happened: 👇 I told Claude to download Zero. It generated my entire site automatically — full layout, design, everything. then i just chatted with it to make it mine. "make it dark mode." "add a links page." "change the typography." every prompt updated the site in real time No code editor. no tutorials. No developer friends to beg for help The wildest part was that even the link to my site was built with Zero. the whole thing — site, hosting, URL — came from one conversation with my AI Normally this means: find a hosting platform, create an account, enter payment details, get an API key, configure deployment settings, google why it broke. This time it was just … a prompt Zero connects your AI to 14,000 real-world services on demand — hosting, image generation, form builders, email sending, web scraping, even mailing physical postcards — all called automatically, paid in micropayments, zero configuration required You don't need to know how any of it works. You just need to know what you want. The barrier to building things online just got completely removed and i don't think people realize it yet The first 10,000 users get $5 free credit → #Ad

I just made my own personalized website in minutes using Zero — and it was super easy! 😊 Here's exactly what happened: 👇 I told Claude to download Zero. It generated my entire site automatically — full layout, design, everything. then i just chatted with it to make it mine. "make it dark mode." "add a links page." "change the typography." every prompt updated the site in real time No code editor. no tutorials. No developer friends to beg for help The wildest part was that even the link to my site was built with Zero. the whole thing — site, hosting, URL — came from one conversation with my AI Normally this means: find a hosting platform, create an account, enter payment details, get an API key, configure deployment settings, google why it broke. This time it was just … a prompt Zero connects your AI to 14,000 real-world services on demand — hosting, image generation, form builders, email sending, web scraping, even mailing physical postcards — all called automatically, paid in micropayments, zero configuration required You don't need to know how any of it works. You just need to know what you want. The barrier to building things online just got completely removed and i don't think people realize it yet The first 10,000 users get $5 free credit → #Ad

Wesley

128,988 Aufrufe • vor 22 Tagen

I spent 1 day building something that saves you 2-4 weeks. Let me explain. Right now, if you want to deploy a single AI agent that earns money on blockchain, you need: → Wallet infrastructure (key generation, encryption, signing) → Payment integration (on-chain flows, stablecoin handling) → On-chain identity (NFT registration, metadata, URIs) → Escrow contracts (state machines, fund locking) → Monitoring dashboard (analytics, revenue tracking) That's 2-4 weeks of engineering. Minimum. And it locks out 99% of potential creators who aren't Solidity devs. So I built Bumi Agent. It takes 10 seconds. 3 fields: Name, Template, Price. 1 button: Deploy. That's it. Your AI agent is live on Celo, earning cUSD, with on-chain identity before your coffee gets cold. Here's what happens behind that 1 click: • Wallet auto-generated with AES-256-GCM encryption • Agent registered as NFT via ERC-8004 • Payment endpoint configured via x402 protocol • Agent runtime deployed with your chosen template • Revenue starts flowing in cUSD from call #1 No Solidity. No wallet setup. No payment gateway. But the real magic is what powers the agents: 8 AI models with intelligent routing: - Free tier: Claude 4.6 Sonnet, DeepSeek R1, Gemini Flash, Llama 4 Scout, Mistral Medium - Premium: GPT-4o, Gemini 2.5 Pro, Claude 4 Opus If one model fails? Auto-fallback to the next. Zero downtime. Users always get a response. And agents don't just chat they work. ERC-8183 job escrow lets clients post paid tasks: Client funds escrow → Agent delivers → Client approves → Funds release. Fully trustless. On-chain. With Celoscan links for every transaction. The part I'm most proud of: EarthPool 🌱 15% of premium revenue automatically goes to an on-chain ReFi treasury that funds environmental campaigns on Celo. AI growth funding climate action. No greenwashing — every cent is trackable on-chain. The numbers so far: → 12 agents deployed on Celo Mainnet → 52+ paid API calls processed → 7.80 cUSD revenue generated → 3 smart contracts verified on Celoscan → 8 AI models running → 85 contract tests passing → 16 API endpoints in production → 10 agent templates ready The full stack: Frontend: Next.js 16 + Tailwind v4 + Recharts → Vercel Backend: Hono + Drizzle + PostgreSQL + Redis → Railway Blockchain: Solidity 0.8.25 + Foundry + OpenZeppelin → Celo Mainnet Everything is live. Everything is open source. 🌐 📦 📊 Bumi Agent — AI agents for everyone. Built with 🌱 on Celo CeloDevs CeloPublicGoods /disclosure this post is hackathon submission req

I spent 1 day building something that saves you 2-4 weeks. Let me explain. Right now, if you want to deploy a single AI agent that earns money on blockchain, you need: → Wallet infrastructure (key generation, encryption, signing) → Payment integration (on-chain flows, stablecoin handling) → On-chain identity (NFT registration, metadata, URIs) → Escrow contracts (state machines, fund locking) → Monitoring dashboard (analytics, revenue tracking) That's 2-4 weeks of engineering. Minimum. And it locks out 99% of potential creators who aren't Solidity devs. So I built Bumi Agent. It takes 10 seconds. 3 fields: Name, Template, Price. 1 button: Deploy. That's it. Your AI agent is live on Celo, earning cUSD, with on-chain identity before your coffee gets cold. Here's what happens behind that 1 click: • Wallet auto-generated with AES-256-GCM encryption • Agent registered as NFT via ERC-8004 • Payment endpoint configured via x402 protocol • Agent runtime deployed with your chosen template • Revenue starts flowing in cUSD from call #1 No Solidity. No wallet setup. No payment gateway. But the real magic is what powers the agents: 8 AI models with intelligent routing: - Free tier: Claude 4.6 Sonnet, DeepSeek R1, Gemini Flash, Llama 4 Scout, Mistral Medium - Premium: GPT-4o, Gemini 2.5 Pro, Claude 4 Opus If one model fails? Auto-fallback to the next. Zero downtime. Users always get a response. And agents don't just chat they work. ERC-8183 job escrow lets clients post paid tasks: Client funds escrow → Agent delivers → Client approves → Funds release. Fully trustless. On-chain. With Celoscan links for every transaction. The part I'm most proud of: EarthPool 🌱 15% of premium revenue automatically goes to an on-chain ReFi treasury that funds environmental campaigns on Celo. AI growth funding climate action. No greenwashing — every cent is trackable on-chain. The numbers so far: → 12 agents deployed on Celo Mainnet → 52+ paid API calls processed → 7.80 cUSD revenue generated → 3 smart contracts verified on Celoscan → 8 AI models running → 85 contract tests passing → 16 API endpoints in production → 10 agent templates ready The full stack: Frontend: Next.js 16 + Tailwind v4 + Recharts → Vercel Backend: Hono + Drizzle + PostgreSQL + Redis → Railway Blockchain: Solidity 0.8.25 + Foundry + OpenZeppelin → Celo Mainnet Everything is live. Everything is open source. 🌐 📦 📊 Bumi Agent — AI agents for everyone. Built with 🌱 on Celo CeloDevs CeloPublicGoods /disclosure this post is hackathon submission req

Eight

15,647 Aufrufe • vor 4 Monaten

Small Language Models (SML) are the future of AI. "Small" (SML) instead of "Large" (LLM). These small models are highly specialized models with superhuman abilities on specific tasks. Here are two techniques to build these models: • Spectrum • Model Merging I give you a short introduction in the attached video, but here is a quick summary: Spectrum helps us identify the most relevant layers to solve one specific task. We can ignore everything else and focus on fine-tuning these layers. Using Spectrum, we can fine-tune models in a heartbeat. Model Merging combines multiple models into a unique, much better model than any of the individual input models. You can also combine models specialized in different tasks and get a model with multiple abilities. This is the state of the art of productizing models. It's what Arcee.ai's platform does behind the scenes. Arcee collaborated with me on this post and is sponsoring it. There are three main steps to produce a model for your particular use case: 1. You create a dataset by uploading your data. 2. You train a model. At this step, Arcee uses Spectrum and Model Merging to produce a highly specialized model for your task. 3. You can deploy that model to any environment you want. Three important notes: • Training process is 2x faster and 2x cheaper than regular fine-tuning. • Resultant models are smaller and have higher accuracy. • They create these specialized models from open-source models. Check this site so you can fully appreciate how this works: If you want to fine-tune an open-source model, consider Arcee's platform. This is the state of the art.

Small Language Models (SML) are the future of AI. "Small" (SML) instead of "Large" (LLM). These small models are highly specialized models with superhuman abilities on specific tasks. Here are two techniques to build these models: • Spectrum • Model Merging I give you a short introduction in the attached video, but here is a quick summary: Spectrum helps us identify the most relevant layers to solve one specific task. We can ignore everything else and focus on fine-tuning these layers. Using Spectrum, we can fine-tune models in a heartbeat. Model Merging combines multiple models into a unique, much better model than any of the individual input models. You can also combine models specialized in different tasks and get a model with multiple abilities. This is the state of the art of productizing models. It's what Arcee.ai's platform does behind the scenes. Arcee collaborated with me on this post and is sponsoring it. There are three main steps to produce a model for your particular use case: 1. You create a dataset by uploading your data. 2. You train a model. At this step, Arcee uses Spectrum and Model Merging to produce a highly specialized model for your task. 3. You can deploy that model to any environment you want. Three important notes: • Training process is 2x faster and 2x cheaper than regular fine-tuning. • Resultant models are smaller and have higher accuracy. • They create these specialized models from open-source models. Check this site so you can fully appreciate how this works: If you want to fine-tune an open-source model, consider Arcee's platform. This is the state of the art.

Santiago

164,162 Aufrufe • vor 2 Jahren

Sora 2 API + n8n for UGC videos ... absolutely insane 🤯 this n8n workflow generates realistic influencer-style videos from just a product image. No watermark. Fully automated. (and I'm giving it away for free) Here's what this system does: → Analyzes your product image with AI vision → Creates the perfect influencer persona to promote it → Generates multiple UGC video scripts automatically → Uses OpenAI's Sora 2 to create realistic videos → Outputs videos ready for Instagram, TikTok, and Facebook The results? What used to take weeks and thousands of dollars now happens in minutes for under $5 per video. This isn't just about cutting costs – it's about scaling your creative production and driving your ROAS 50%+ higher due to on-demand, high-converting video content. Brands and agencies today spend $10,000+ per month hiring creators, shipping products, waiting weeks, and hoping for a few decent videos back. This changes the whole game for $1 per video. Want the full n8n template, all of the prompts, and a full step-by-step setup video? 1. Like & RT this post 2. Follow me (so I can dm you) 3. Comment "UGC" below I'll send you the entire system for free.

Sora 2 API + n8n for UGC videos ... absolutely insane 🤯 this n8n workflow generates realistic influencer-style videos from just a product image. No watermark. Fully automated. (and I'm giving it away for free) Here's what this system does: → Analyzes your product image with AI vision → Creates the perfect influencer persona to promote it → Generates multiple UGC video scripts automatically → Uses OpenAI's Sora 2 to create realistic videos → Outputs videos ready for Instagram, TikTok, and Facebook The results? What used to take weeks and thousands of dollars now happens in minutes for under $5 per video. This isn't just about cutting costs – it's about scaling your creative production and driving your ROAS 50%+ higher due to on-demand, high-converting video content. Brands and agencies today spend $10,000+ per month hiring creators, shipping products, waiting weeks, and hoping for a few decent videos back. This changes the whole game for $1 per video. Want the full n8n template, all of the prompts, and a full step-by-step setup video? 1. Like & RT this post 2. Follow me (so I can dm you) 3. Comment "UGC" below I'll send you the entire system for free.

David Roberts

137,847 Aufrufe • vor 9 Monaten