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Your AI agent can now generate videos. PixVerse CLI ships today — JSON output, 6 deterministic exit codes, full PixVerse v5.6, Sora2 and Veo 3.1, Nano Banana access from terminal. Same account. Same credits. No new signup. -> Follow+ Reply+RT = 300 Creds(72H ONLY)

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PixVerse

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176,893 просмотров • 4 месяцев назад •via X (Twitter)

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Your AI agent can now generate and ship videos. HeyGen CLI is now live. Run one command and your agent handles it all: script → avatar creation → video → delivery All from the terminal. Just your agent and the CLI. RT + Comment “CLI” and we’ll DM API credits (must follow)
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Your AI agent can now generate and ship videos. HeyGen CLI is now live. Run one command and your agent handles it all: script → avatar creation → video → delivery All from the terminal. Just your agent and the CLI. RT + Comment “CLI” and we’ll DM API credits (must follow)

HeyGen

224,963 просмотров • 3 месяцев назад

PixVerse Canvas is live on Web — your AI video production workspace. Stop generating clips. Start producing videos you can actually ship. Plan, refine, and deliver in one place. RT+Follow+Reply=300Creds in DMs (72H ONLY)
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PixVerse Canvas is live on Web — your AI video production workspace. Stop generating clips. Start producing videos you can actually ship. Plan, refine, and deliver in one place. RT+Follow+Reply=300Creds in DMs (72H ONLY)

PixVerse

729,590 просмотров • 1 месяц назад

The #1 reason most content never ships? Having to film yourself on camera. Meet Lip-Sync on PixVerse APP. Add an image or video, type your script (or upload audio), and generate. Use built-in voices, clone your own, or drive it with any audio file. RT + Follow + Reply = 150 credits in DMs (72h only)
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The #1 reason most content never ships? Having to film yourself on camera. Meet Lip-Sync on PixVerse APP. Add an image or video, type your script (or upload audio), and generate. Use built-in voices, clone your own, or drive it with any audio file. RT + Follow + Reply = 150 credits in DMs (72h only)

PixVerse

51,272 просмотров • 16 дней назад

The simplest way to create an AI influencer using workflow (3 steps): Nano Banana → Veo 3 → Arcads AI Workflow Step 1: Build your character with a JSON prompt (Nano Banana Workflow) → Use a structured JSON prompt instead of writing random text → Define the look clearly: character, outfit, lighting, camera style, background → Add negative constraints like: no logos, no text, no extra fingers, no CGI skin, no warped mirror This makes the output more stable and reusable. You’re not just prompting. You’re building a repeatable image system Step 2: Turn image → video (Veo 3 Workflow) → Connect the Nano Banana output directly into Veo 3 → Add a simple motion prompt: slight body movement, natural head turn, subtle phone movement → Keep it minimal so it feels more real Workflow removes the manual back-and-forth. Step 3: Add script + voice (Arcads AI Workflow) → Feed the generated video into Arcads AI → Add a short script, usually 10–20 seconds → Generate voice + lipsync that matches the character vibe Now the character becomes actual content. Why workflow matters: Prompt → Image → Video → Voice No messy manual process. No repeating the same setup every time. Just a clean pipeline you can scale. Nano Banana + Veo 3 + Arcads AI + workflow feature = simple AI influencer factory
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The simplest way to create an AI influencer using workflow (3 steps): Nano Banana → Veo 3 → Arcads AI Workflow Step 1: Build your character with a JSON prompt (Nano Banana Workflow) → Use a structured JSON prompt instead of writing random text → Define the look clearly: character, outfit, lighting, camera style, background → Add negative constraints like: no logos, no text, no extra fingers, no CGI skin, no warped mirror This makes the output more stable and reusable. You’re not just prompting. You’re building a repeatable image system Step 2: Turn image → video (Veo 3 Workflow) → Connect the Nano Banana output directly into Veo 3 → Add a simple motion prompt: slight body movement, natural head turn, subtle phone movement → Keep it minimal so it feels more real Workflow removes the manual back-and-forth. Step 3: Add script + voice (Arcads AI Workflow) → Feed the generated video into Arcads AI → Add a short script, usually 10–20 seconds → Generate voice + lipsync that matches the character vibe Now the character becomes actual content. Why workflow matters: Prompt → Image → Video → Voice No messy manual process. No repeating the same setup every time. Just a clean pipeline you can scale. Nano Banana + Veo 3 + Arcads AI + workflow feature = simple AI influencer factory

Alex Nguyen

35,544 просмотров • 3 месяцев назад

Explaining your product with AI just leveled up. Full AI powered product breakdown videos using Nano Banana × Creatify × Veo 3 > What used to cost 6 figures > now costs $16 per video. If you want the exact prompts + storyboard we use to build these: Like & RT this post Comment “AI” and we'll send in DM. Follow (so the auto Dm can send)
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Explaining your product with AI just leveled up. Full AI powered product breakdown videos using Nano Banana × Creatify × Veo 3 > What used to cost 6 figures > now costs $16 per video. If you want the exact prompts + storyboard we use to build these: Like & RT this post Comment “AI” and we'll send in DM. Follow (so the auto Dm can send)

Creatify AI

463,296 просмотров • 5 месяцев назад

💫 The Ultimate AI Video Agent is here — Welcome to Flova! Create cinematic, movie-quality videos from story to final cut — all powered by AI. With Flova, you can script, storyboard, generate characters, direct camera angles, add music, and export — all in one platform. Beta perks: claim 500 free credits every week, invite friends to earn 300 credits each. Subscribers enjoy 10 referral codes, limited free images, and buy 1 → 2.5 credits! Step into the AI-powered creative universe and turn your imagination into professional videos today. #FlovaAI #AIVideoAgent #Storytelling #AIForCreators #DigitalCreativity #AIAnimation #CreativeAI #Sora2 #NanoBananaPro #Veo3 #Gemini
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💫 The Ultimate AI Video Agent is here — Welcome to Flova! Create cinematic, movie-quality videos from story to final cut — all powered by AI. With Flova, you can script, storyboard, generate characters, direct camera angles, add music, and export — all in one platform. Beta perks: claim 500 free credits every week, invite friends to earn 300 credits each. Subscribers enjoy 10 referral codes, limited free images, and buy 1 → 2.5 credits! Step into the AI-powered creative universe and turn your imagination into professional videos today. #FlovaAI #AIVideoAgent #Storytelling #AIForCreators #DigitalCreativity #AIAnimation #CreativeAI #Sora2 #NanoBananaPro #Veo3 #Gemini

FlovaAI Japan

161,232 просмотров • 7 месяцев назад

🚨 FREEPIK HAS RESET AI PRICING This isn't a flash sale or a limited-time deal. Freepik has quietly changed the rules. With the same subscription, you get more generations and a lower cost per output. Unlike most platforms that rely on discounts and countdowns, Freepik has redesigned its pricing structure. Here's what that means: ✅ Permanently reduced credit costs for top AI models ✅ More generations without upgrading plans ✅ Designed for high-volume creators and teams ✅ No gimmicks, no urgency traps One subscription now gives you access to: → Nano Banana Pro (now unlimited 🍌) → Google Veo 3.1 → Kling 2.5 & 2.6 → 30+ leading AI models → Lowest credit cost in the market Same price. More output. Long-term value. If your workflow relies on generating AI content at scale, this matters—a lot.Why pay more to generate less? 🔗 Freepik
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🚨 FREEPIK HAS RESET AI PRICING This isn't a flash sale or a limited-time deal. Freepik has quietly changed the rules. With the same subscription, you get more generations and a lower cost per output. Unlike most platforms that rely on discounts and countdowns, Freepik has redesigned its pricing structure. Here's what that means: ✅ Permanently reduced credit costs for top AI models ✅ More generations without upgrading plans ✅ Designed for high-volume creators and teams ✅ No gimmicks, no urgency traps One subscription now gives you access to: → Nano Banana Pro (now unlimited 🍌) → Google Veo 3.1 → Kling 2.5 & 2.6 → 30+ leading AI models → Lowest credit cost in the market Same price. More output. Long-term value. If your workflow relies on generating AI content at scale, this matters—a lot.Why pay more to generate less? 🔗 Freepik

James Bond

27,427 просмотров • 5 месяцев назад

How To Use Google Flow To Generate Bulk AI Images & Videos With One Click. In this complete workflow tutorial, you'll learn setting up prompt matrices, using batch processing, and letting Google Flow generate dozens of high-fidelity Veo videos and Nano Banana images all at the exact same time. This information is for both new and existing youtube creators. If you want to scale up your content machine, you need to watch this. Like, Retweet and Bookmark. Follow me BIG CHRIS
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How To Use Google Flow To Generate Bulk AI Images & Videos With One Click. In this complete workflow tutorial, you'll learn setting up prompt matrices, using batch processing, and letting Google Flow generate dozens of high-fidelity Veo videos and Nano Banana images all at the exact same time. This information is for both new and existing youtube creators. If you want to scale up your content machine, you need to watch this. Like, Retweet and Bookmark. Follow me BIG CHRIS

BIG CHRIS

26,209 просмотров • 2 месяцев назад

WE ARE WATCHING THE TRADITIONAL 3D RENDERING PIPELINE GET REPLACED IN REAL TIME PixVerse just dropped an amazing early experiment called PixVerse Game. Instead of hardcoding mechanics to specific character models, they figured out how to completely decouple a game's underlying math from what you actually see on screen. Here is how their new 3-layer architecture works: ✦ The Engine → handles the raw rules, objectives, and health points. ✦ The Agent → uses AI to translate a player's natural language into valid game moves. ✦ The Visuals → an underlying R1 model generates the world and audio on the fly. Why does this matter? Because you can take the exact same game rules and swap the world instantly. (e.g., swapping from a sci-fi mission to an anime adventure without rewriting the game). This is a fascinating look at where gaming is heading! You can try PixVerse Game here → Currently invite-only, but I snagged a few access codes for y'all :) Code 1: CTQLMY Code 2: LQCAYS Enjoy!
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WE ARE WATCHING THE TRADITIONAL 3D RENDERING PIPELINE GET REPLACED IN REAL TIME PixVerse just dropped an amazing early experiment called PixVerse Game. Instead of hardcoding mechanics to specific character models, they figured out how to completely decouple a game's underlying math from what you actually see on screen. Here is how their new 3-layer architecture works: ✦ The Engine → handles the raw rules, objectives, and health points. ✦ The Agent → uses AI to translate a player's natural language into valid game moves. ✦ The Visuals → an underlying R1 model generates the world and audio on the fly. Why does this matter? Because you can take the exact same game rules and swap the world instantly. (e.g., swapping from a sci-fi mission to an anime adventure without rewriting the game). This is a fascinating look at where gaming is heading! You can try PixVerse Game here → Currently invite-only, but I snagged a few access codes for y'all :) Code 1: CTQLMY Code 2: LQCAYS Enjoy!

Charly Wargnier

55,761 просмотров • 2 дней назад

cancel me for this but...Claude + Arcads is going to quietly create a bunch of ecom “mini millionaires” this year. – With the new nano banana 2 update, at this point anyone can generate hyper realistic UGC videos with ai Anyone can go viral It can scale from day one No long time to generate videos It’s actually wild how good these videos look And they can show product super effectively We’re helping ecom brands run this system to scale up big time Same viral selling strategy New way of working If you want to see how this works to scale 8 figure Ecom brands Comment ME and I’ll send it over PS — Repost for early access.
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cancel me for this but...Claude + Arcads is going to quietly create a bunch of ecom “mini millionaires” this year. – With the new nano banana 2 update, at this point anyone can generate hyper realistic UGC videos with ai Anyone can go viral It can scale from day one No long time to generate videos It’s actually wild how good these videos look And they can show product super effectively We’re helping ecom brands run this system to scale up big time Same viral selling strategy New way of working If you want to see how this works to scale 8 figure Ecom brands Comment ME and I’ll send it over PS — Repost for early access.

Noah Frydberg | Tiktok Shop For Brands

23,908 просмотров • 4 месяцев назад

Veo 3.1 is now live on invideo. We’re one of the first official partners worldwide to launch Veo 3.1. The Google Cloud team gave us early access, and it changes everything. Veo 3.1 upgrades what creators actually care about: visual quality, motion realism, and prompt responsiveness. But the real breakthrough is in control: → You can now define a start and end frame and Veo 3.1 builds everything between them with perfect flow. → You can lock a character’s look across scenes. → You can merge multiple references into one coherent world. When that power meets invideo, it turns from generation into storytelling. Because invideo isn’t just an AI video generator, it’s a full-stack AI production house at your disposal. It makes over 300 creative decisions across editing, scripting, visuals, sound, and voiceover to craft videos like a full-scale production team would. Ad films, brand spots, social content, cinematic stories, all created with the precision of a studio team, at the speed of thought. Watch how Veo 3.1 inside invideo turns imagination into cinematic magic👇
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Veo 3.1 is now live on invideo. We’re one of the first official partners worldwide to launch Veo 3.1. The Google Cloud team gave us early access, and it changes everything. Veo 3.1 upgrades what creators actually care about: visual quality, motion realism, and prompt responsiveness. But the real breakthrough is in control: → You can now define a start and end frame and Veo 3.1 builds everything between them with perfect flow. → You can lock a character’s look across scenes. → You can merge multiple references into one coherent world. When that power meets invideo, it turns from generation into storytelling. Because invideo isn’t just an AI video generator, it’s a full-stack AI production house at your disposal. It makes over 300 creative decisions across editing, scripting, visuals, sound, and voiceover to craft videos like a full-scale production team would. Ad films, brand spots, social content, cinematic stories, all created with the precision of a studio team, at the speed of thought. Watch how Veo 3.1 inside invideo turns imagination into cinematic magic👇

Sanket Shah

558,983 просмотров • 9 месяцев назад

This AI avatar account has 2.4 million followers on Instagram 🤯 Fully AI-generated. Posting multiple times per day. Insane engagement. And I'm pretty sure the entire thing is automated. So I broke down exactly how they're doing it—and how you can build the same system. Here's what's wild: Every video is the same AI "monk" character giving life advice. Same face, same voice, different scripts, different settings. And it's racking up millions of views. Here's how you can replicate it: → Create your AI avatar in Nano Banana → Preload 10-15 topics in Airtable for automatic rotation → AI agent writes a 60-90 second script per topic → HeyGen animates your avatar and lip syncs the script → Creatomate overlays auto-captions → Blotato auto-publishes to Instagram/TikTok One scheduled trigger, runs daily, fully hands-off. No filming, no editing, no manual posting. The stack: - Nano Banana → AI avatar creation - Airtable → topic library + rotation - n8n → orchestrates the full workflow - HeyGen → animates the avatar - Creatomate → auto-captions - Blotato → auto-publish I recorded a 10-minute breakdown walking through exactly how to build this system step-by-step. > Comment "AVATAR" > Like this post And I'll send it over (must be following so I can DM)
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This AI avatar account has 2.4 million followers on Instagram 🤯 Fully AI-generated. Posting multiple times per day. Insane engagement. And I'm pretty sure the entire thing is automated. So I broke down exactly how they're doing it—and how you can build the same system. Here's what's wild: Every video is the same AI "monk" character giving life advice. Same face, same voice, different scripts, different settings. And it's racking up millions of views. Here's how you can replicate it: → Create your AI avatar in Nano Banana → Preload 10-15 topics in Airtable for automatic rotation → AI agent writes a 60-90 second script per topic → HeyGen animates your avatar and lip syncs the script → Creatomate overlays auto-captions → Blotato auto-publishes to Instagram/TikTok One scheduled trigger, runs daily, fully hands-off. No filming, no editing, no manual posting. The stack: - Nano Banana → AI avatar creation - Airtable → topic library + rotation - n8n → orchestrates the full workflow - HeyGen → animates the avatar - Creatomate → auto-captions - Blotato → auto-publish I recorded a 10-minute breakdown walking through exactly how to build this system step-by-step. > Comment "AVATAR" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

93,411 просмотров • 6 месяцев назад

Today we're launching FilmArena [dot] ai. Biggest release we've ever shipped. The problem: a new SOTA AI image & video model drops every week. OpenAI shipped GPT Image 2 literally yesterday. 1000 endpoints, no honest answer to "which one is best right now?" Arena AI and Artificial Analysis cracked LLM benchmarking. But for creative AI, they're solving the wrong problem. There is no "best image-to-video model." Best at what? World building? Action Sequences? Expressions? Every category has a different winner, and it flips weekly. So we benchmarked 40+ SOTA models with 2M+ votes across 190 countries. By subcategory. Re-ranked every week as new models ship. With thousands of real humans. But that's just half of it. Then there's the SANDBOX. Higgsfield and other aggregators put models in one place. But creators still juggle twelve subscriptions to do one job. FilmArena collapses it into one tab. Every frontier model. One interface. Same price. Call the best, or call 3 at once and compare. The AI film stack has been fragmented since day one. Today it isn't. Go try it free: filmarena [dot] ai Already wild results from this week: 1. OpenAI GPT Image 2 (released yesterday) dominates image editing, but Google DeepMind Nano Banana 2 still wins animated 2. PixVerse C-1 beats Dreamina AI Seedance 2 on animated 3. Veo 3.1 Fast outperforms Veo 3.1 on realistic video And a lot more. Go check it out.
1:13

Today we're launching FilmArena [dot] ai. Biggest release we've ever shipped. The problem: a new SOTA AI image & video model drops every week. OpenAI shipped GPT Image 2 literally yesterday. 1000 endpoints, no honest answer to "which one is best right now?" Arena AI and Artificial Analysis cracked LLM benchmarking. But for creative AI, they're solving the wrong problem. There is no "best image-to-video model." Best at what? World building? Action Sequences? Expressions? Every category has a different winner, and it flips weekly. So we benchmarked 40+ SOTA models with 2M+ votes across 190 countries. By subcategory. Re-ranked every week as new models ship. With thousands of real humans. But that's just half of it. Then there's the SANDBOX. Higgsfield and other aggregators put models in one place. But creators still juggle twelve subscriptions to do one job. FilmArena collapses it into one tab. Every frontier model. One interface. Same price. Call the best, or call 3 at once and compare. The AI film stack has been fragmented since day one. Today it isn't. Go try it free: filmarena [dot] ai Already wild results from this week: 1. OpenAI GPT Image 2 (released yesterday) dominates image editing, but Google DeepMind Nano Banana 2 still wins animated 2. PixVerse C-1 beats Dreamina AI Seedance 2 on animated 3. Veo 3.1 Fast outperforms Veo 3.1 on realistic video And a lot more. Go check it out.

Mehul Agarwal

43,247 просмотров • 2 месяцев назад

HERMES AGENT IS NOW IN THE CLOUD. NO VPS. NO TERMINAL. NO SETUP. PICK A MODEL. PICK A SERVER SIZE. AGENT IS LIVE IN 60 SECONDS. Nous Portal just launched hosted Hermes Agent. two clicks. one minute. done. Nous Research WHAT THIS MEANS: before today: install Hermes on a VPS or your laptop. configure providers. set up gateway. manage updates. run hermes setup. edit config.yaml. great for power users. friction for everyone else. now: go to pick a model. pick a server size. your agent is live and reachable in 60 seconds. no terminal. no SSH. no Docker. same Hermes. same features. same tools. someone else handles the infrastructure. FOR TEAMS: this is where it gets interesting. spin up agents for everyone at your org. each team member gets their own Hermes instance. granular access controls per user. unified billing through Nous Portal. your team gets Hermes on day one. no DevOps needed. no VPS per person. one admin dashboard. one bill. WHAT'S INCLUDED: → 300+ models via Nous Portal (Claude, GPT, Gemini, DeepSeek, Grok, MiniMax, and more) → Tool Gateway (web search, image generation, TTS, browser automation) → all messaging platforms (Telegram, Discord, Slack, WhatsApp, Signal) → full feature set (profiles, cron, kanban, skills, memory, sub-agents, MoA, /goal, /learn, /journey) → automatic updates ONE PORTAL. FOUR TIERS: Free: $0/month. pay-as-you-go credits from $10. Plus: $20/month. $22 in monthly usage credit. Super: $100/month. $110 in monthly credit. Ultra: $200/month. $220 in monthly credit. highest rate limits. every paid tier includes Tool Gateway. one OAuth. one subscription. no extra API keys. SELF-HOSTED IS NOT GOING ANYWHERE: Hermes is MIT licensed. open source. free forever. you can still run it on your laptop, VPS, or GPU cluster. nothing changes for self-hosted users. the cloud version is for people who want the agent running without managing the machine. pick your path: → self-hosted: full control. you manage everything. → cloud: zero ops. Nous manages infrastructure. → hybrid: self-host your main agent, cloud for team members. HOW TO START: cloud: self-hosted: hermes setup --portal both connect to the same Nous Portal. same models. same tools. same billing. learn how to replace your entire team with 8 hermes agents 👇
0:20

HERMES AGENT IS NOW IN THE CLOUD. NO VPS. NO TERMINAL. NO SETUP. PICK A MODEL. PICK A SERVER SIZE. AGENT IS LIVE IN 60 SECONDS. Nous Portal just launched hosted Hermes Agent. two clicks. one minute. done. Nous Research WHAT THIS MEANS: before today: install Hermes on a VPS or your laptop. configure providers. set up gateway. manage updates. run hermes setup. edit config.yaml. great for power users. friction for everyone else. now: go to pick a model. pick a server size. your agent is live and reachable in 60 seconds. no terminal. no SSH. no Docker. same Hermes. same features. same tools. someone else handles the infrastructure. FOR TEAMS: this is where it gets interesting. spin up agents for everyone at your org. each team member gets their own Hermes instance. granular access controls per user. unified billing through Nous Portal. your team gets Hermes on day one. no DevOps needed. no VPS per person. one admin dashboard. one bill. WHAT'S INCLUDED: → 300+ models via Nous Portal (Claude, GPT, Gemini, DeepSeek, Grok, MiniMax, and more) → Tool Gateway (web search, image generation, TTS, browser automation) → all messaging platforms (Telegram, Discord, Slack, WhatsApp, Signal) → full feature set (profiles, cron, kanban, skills, memory, sub-agents, MoA, /goal, /learn, /journey) → automatic updates ONE PORTAL. FOUR TIERS: Free: $0/month. pay-as-you-go credits from $10. Plus: $20/month. $22 in monthly usage credit. Super: $100/month. $110 in monthly credit. Ultra: $200/month. $220 in monthly credit. highest rate limits. every paid tier includes Tool Gateway. one OAuth. one subscription. no extra API keys. SELF-HOSTED IS NOT GOING ANYWHERE: Hermes is MIT licensed. open source. free forever. you can still run it on your laptop, VPS, or GPU cluster. nothing changes for self-hosted users. the cloud version is for people who want the agent running without managing the machine. pick your path: → self-hosted: full control. you manage everything. → cloud: zero ops. Nous manages infrastructure. → hybrid: self-host your main agent, cloud for team members. HOW TO START: cloud: self-hosted: hermes setup --portal both connect to the same Nous Portal. same models. same tools. same billing. learn how to replace your entire team with 8 hermes agents 👇

YanXbt

45,446 просмотров • 9 дней назад

i found a way to make ai influencer videos that people can't tell are fake... sora 2 is good but there's no consistency, you need a solid post-production process most people just generate and upload, which is why their stuff looks like obvious ai slop i spent weeks testing every method and cracked the exact workflow that got me 28 million views in 30 days, here's my system: - step-by-step character creation (keeping the same face across 100+ videos) - the complete video workflow from prompt to final export - how to add "human imperfections" that sell authenticity - editing secrets that hide ai tells - the tools i actually use (free + paid options) RT + reply 'INFLUENCER' and i'll send you the FULL system (must follow so i can dm)
0:37

i found a way to make ai influencer videos that people can't tell are fake... sora 2 is good but there's no consistency, you need a solid post-production process most people just generate and upload, which is why their stuff looks like obvious ai slop i spent weeks testing every method and cracked the exact workflow that got me 28 million views in 30 days, here's my system: - step-by-step character creation (keeping the same face across 100+ videos) - the complete video workflow from prompt to final export - how to add "human imperfections" that sell authenticity - editing secrets that hide ai tells - the tools i actually use (free + paid options) RT + reply 'INFLUENCER' and i'll send you the FULL system (must follow so i can dm)

Miko

313,084 просмотров • 9 месяцев назад

10 repos that cut your ai agent token bill by up to 80% 1. microsoft/LLMLingua → cuts prompt size by up to 95% compresses prompts before the api call. 20x compression. published at EMNLP + ACL. near-zero quality loss. 6,100 stars 2. mem0ai/mem0 → replaces full conversation history in context stores what matters. retrieves only what's needed. 10,000 token history → 200 token memory. per agent. 54,800 stars 3. BerriAI/litellm → routes each call to the cheapest model simple task → haiku. complex task → sonnet. tracks cost per agent, per call, per day. 45,700 stars 4. run-llama/llama_index → replaces sending full documents rag: 100-page doc → 3 relevant chunks → same answer. 98% fewer tokens per query. 49,100 stars 5. chroma-core/chroma → replaces keyword search in full context vector store. finds the closest match. feeds only that. 50-200 tokens per query instead of thousands. 27,800 stars 6. letta-ai/letta → replaces infinite context window crashes paged memory for agents. loads only relevant memory. stops your agent from hitting limits and retrying. 22,400 stars 7. guidance-ai/guidance → cuts output token bloat by 30-50% structured generation. constrains model output natively. no more 100-token prompts to get json back. 21,400 stars 8. Aider-AI/aider → replaces pasting entire codebases builds a repo map. sends only files relevant to the task. not your whole project. just what the agent needs. 44,300 stars 9. openai/tiktoken → count tokens before you send know the exact cost before the api call happens. not after the bill arrives. 18,100 stars 10. simonw/ttok → hard cap on what gets sent cli tool: count tokens, truncate to budget limit. pipe any text in. get truncated output back. 389 stars most agents are expensive not because the model is expensive. because nobody checked what was being sent to it.
0:51

10 repos that cut your ai agent token bill by up to 80% 1. microsoft/LLMLingua → cuts prompt size by up to 95% compresses prompts before the api call. 20x compression. published at EMNLP + ACL. near-zero quality loss. 6,100 stars 2. mem0ai/mem0 → replaces full conversation history in context stores what matters. retrieves only what's needed. 10,000 token history → 200 token memory. per agent. 54,800 stars 3. BerriAI/litellm → routes each call to the cheapest model simple task → haiku. complex task → sonnet. tracks cost per agent, per call, per day. 45,700 stars 4. run-llama/llama_index → replaces sending full documents rag: 100-page doc → 3 relevant chunks → same answer. 98% fewer tokens per query. 49,100 stars 5. chroma-core/chroma → replaces keyword search in full context vector store. finds the closest match. feeds only that. 50-200 tokens per query instead of thousands. 27,800 stars 6. letta-ai/letta → replaces infinite context window crashes paged memory for agents. loads only relevant memory. stops your agent from hitting limits and retrying. 22,400 stars 7. guidance-ai/guidance → cuts output token bloat by 30-50% structured generation. constrains model output natively. no more 100-token prompts to get json back. 21,400 stars 8. Aider-AI/aider → replaces pasting entire codebases builds a repo map. sends only files relevant to the task. not your whole project. just what the agent needs. 44,300 stars 9. openai/tiktoken → count tokens before you send know the exact cost before the api call happens. not after the bill arrives. 18,100 stars 10. simonw/ttok → hard cap on what gets sent cli tool: count tokens, truncate to budget limit. pipe any text in. get truncated output back. 389 stars most agents are expensive not because the model is expensive. because nobody checked what was being sent to it.

self.dll

39,370 просмотров • 2 месяцев назад

The same kinds of productivity gains we've seen in coding with AI agents are heading to the rest of knowledge work. This is the jump when you go from having a chatbot to being able to actually have an agent go off and do work for minutes or even hours and come back with a complete work output that you then review. Here's an example of the new Box Agent filling out an RFP response from an existing knowledge base. This process would normally take hours to fill out, and requires the full attention of the user doing the work. Now, you provide the Box Agent with the RFP questions, and it will go off, make a plan, extract all the relevant questions, read through existing source material to come up with an answer, and then generate a new word document as the final output. All while you're doing something else. The key to this architecture is that the agent is able to use all of the same tools in the background that a user uses to get work done. The agent can search for documents, read entire files, run scripts and tools in the background, and even be able to write code on the fly to automate tasks it hasn't seen before. And best of all, the Box Agent will (soon) work from the Box MCP and CLI so you can invoke it in any agentic system as a step in a process. This kind of agent complexity would have been impossible even 6 months ago. Models consistently failed at tracking long running tasks or using the right tools at the right moment for the task. But this is all now possible because of models like GPT-5.4, Opus 4.6, and Gemini 3, and is only getting better by the month. Just as we moved from engineers writing code and using AI as an assistant to answer questions, in many areas of knowledge work -like legal, finance, consulting, sales, marketing, and more- when we have a problem we'll just kick off the AI agent to just go work on it for us in the background.
2:14

The same kinds of productivity gains we've seen in coding with AI agents are heading to the rest of knowledge work. This is the jump when you go from having a chatbot to being able to actually have an agent go off and do work for minutes or even hours and come back with a complete work output that you then review. Here's an example of the new Box Agent filling out an RFP response from an existing knowledge base. This process would normally take hours to fill out, and requires the full attention of the user doing the work. Now, you provide the Box Agent with the RFP questions, and it will go off, make a plan, extract all the relevant questions, read through existing source material to come up with an answer, and then generate a new word document as the final output. All while you're doing something else. The key to this architecture is that the agent is able to use all of the same tools in the background that a user uses to get work done. The agent can search for documents, read entire files, run scripts and tools in the background, and even be able to write code on the fly to automate tasks it hasn't seen before. And best of all, the Box Agent will (soon) work from the Box MCP and CLI so you can invoke it in any agentic system as a step in a process. This kind of agent complexity would have been impossible even 6 months ago. Models consistently failed at tracking long running tasks or using the right tools at the right moment for the task. But this is all now possible because of models like GPT-5.4, Opus 4.6, and Gemini 3, and is only getting better by the month. Just as we moved from engineers writing code and using AI as an assistant to answer questions, in many areas of knowledge work -like legal, finance, consulting, sales, marketing, and more- when we have a problem we'll just kick off the AI agent to just go work on it for us in the background.

Aaron Levie

24,618 просмотров • 3 месяцев назад

I built an AI system that automates product video creation for entire e-commerce catalogs. (Saves $30K per collection shoot, increases conversion rates by 40% on sites) Here's how the automation works: → Firecrawl scrapes product photos from any e-commerce product page → Nano Banana create 4 images showcasing each angle of the product → Google's Veo 3.1 animates a 360° motion video using the generated nano banana images → Each animation starts and ends with the original photo for seamless looping → Videos are automatically organized and stored in Google Drive → Everything processes in batches while you handle other business priorities This system can transform how DTC companies showcase products and consistently drives higher engagement from potential customers. Static product photos just don't cut it anymore. Customers want to see what a product looks and feels like before they buy. Want the complete blueprint? Here are the steps: 1. Like & RT this post ✅ 2. Follow me for more e-commerce automation insights 3. Comment "MOTION" I'll send you the entire n8n workflow, all the prompts, and a full setup video for free. No more expensive video shoots or wondering if your product photos are converting.
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I built an AI system that automates product video creation for entire e-commerce catalogs. (Saves $30K per collection shoot, increases conversion rates by 40% on sites) Here's how the automation works: → Firecrawl scrapes product photos from any e-commerce product page → Nano Banana create 4 images showcasing each angle of the product → Google's Veo 3.1 animates a 360° motion video using the generated nano banana images → Each animation starts and ends with the original photo for seamless looping → Videos are automatically organized and stored in Google Drive → Everything processes in batches while you handle other business priorities This system can transform how DTC companies showcase products and consistently drives higher engagement from potential customers. Static product photos just don't cut it anymore. Customers want to see what a product looks and feels like before they buy. Want the complete blueprint? Here are the steps: 1. Like & RT this post ✅ 2. Follow me for more e-commerce automation insights 3. Comment "MOTION" I'll send you the entire n8n workflow, all the prompts, and a full setup video for free. No more expensive video shoots or wondering if your product photos are converting.

David Roberts

169,942 просмотров • 7 месяцев назад

Nano Banana Pro + n8n is absolutely insane 🤯 Google just released Nano Banana Pro and I already have it running inside n8n + Airtable. The use case? Steal your competitors' Facebook static ads. Perfect for DTC brands & agencies who see competitor ads they want to replicate with their own products. Nano Banana Pro is SICK: → 4K resolution output (studio quality) → Multiple image inputs (up to 14 images in one generation) → Perfect text rendering in multiple languages → Maintains consistency across up to 5 people Here's the workflow: You see a killer competitor Facebook ad. Perfect layout, colors, messaging—but it's their product, not yours. Instead of briefing a designer and waiting days for recreations... This automation does it in 30 seconds: → Upload competitor ad image in Airtable → Upload your product image → Click "Generate" button → Nano Banana Pro swaps ONLY the product → Keeps everything else identical (layout, fonts, colors, graphics) → Returns 4 variations automatically → All delivered back to Airtable instantly No designer bottlenecks. No recreation from scratch. No guessing what works. What you get: → Competitor-inspired ads with your product → Same proven layout and design language → 4 variations per request for testing → Everything organized in Airtable → Feels like a mini creative co-pilot Built 100% in n8n + Airtable. I filmed a 30-minute Loom video walking you through how to set it up step-by-step. Want the n8n template, Airtable base, and Loom video for free? > Comment "BANANA" > Like this post And I'll send it over (must be following so I can DM)
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Nano Banana Pro + n8n is absolutely insane 🤯 Google just released Nano Banana Pro and I already have it running inside n8n + Airtable. The use case? Steal your competitors' Facebook static ads. Perfect for DTC brands & agencies who see competitor ads they want to replicate with their own products. Nano Banana Pro is SICK: → 4K resolution output (studio quality) → Multiple image inputs (up to 14 images in one generation) → Perfect text rendering in multiple languages → Maintains consistency across up to 5 people Here's the workflow: You see a killer competitor Facebook ad. Perfect layout, colors, messaging—but it's their product, not yours. Instead of briefing a designer and waiting days for recreations... This automation does it in 30 seconds: → Upload competitor ad image in Airtable → Upload your product image → Click "Generate" button → Nano Banana Pro swaps ONLY the product → Keeps everything else identical (layout, fonts, colors, graphics) → Returns 4 variations automatically → All delivered back to Airtable instantly No designer bottlenecks. No recreation from scratch. No guessing what works. What you get: → Competitor-inspired ads with your product → Same proven layout and design language → 4 variations per request for testing → Everything organized in Airtable → Feels like a mini creative co-pilot Built 100% in n8n + Airtable. I filmed a 30-minute Loom video walking you through how to set it up step-by-step. Want the n8n template, Airtable base, and Loom video for free? > Comment "BANANA" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

88,447 просмотров • 7 месяцев назад

Claude Code + Nano Banana 2 is f*cking cracked 🤯 I built a system inside Claude Code that researches any brand, writes 40 ad prompts from scratch, and fires them all to Nano Banana 2. One brand name + one URL = 40 production-ready static ads. All inside Claude Code. I took Alex Cooper's brilliant framework and automated the whole thing 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 in Higgsfield — 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 Alex's 40 proven ad templates (headline, us vs them, testimonial, UGC, review cards, stat callouts) with brand-specific details → Fires every prompt to Nano Banana 2 with your product photos as reference → Downloads finished ads into organized folders with an HTML gallery No Higgsfield. No manual prompt filling. No copy-pasting between tools. What you get: → 40 ad formats filled with your exact brand colors, fonts, and copy → 4 variations per format so you pick the best output → 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 Nano Banana 2. I put together a full playbook & Loom video showing the exact process to set this up yourself. Want access for free? > Like this post > Comment "NANO" And I'll send it over (must be following so I can DM)
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Claude Code + Nano Banana 2 is f*cking cracked 🤯 I built a system inside Claude Code that researches any brand, writes 40 ad prompts from scratch, and fires them all to Nano Banana 2. One brand name + one URL = 40 production-ready static ads. All inside Claude Code. I took Alex Cooper's brilliant framework and automated the whole thing 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 in Higgsfield — 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 Alex's 40 proven ad templates (headline, us vs them, testimonial, UGC, review cards, stat callouts) with brand-specific details → Fires every prompt to Nano Banana 2 with your product photos as reference → Downloads finished ads into organized folders with an HTML gallery No Higgsfield. No manual prompt filling. No copy-pasting between tools. What you get: → 40 ad formats filled with your exact brand colors, fonts, and copy → 4 variations per format so you pick the best output → 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 Nano Banana 2. I put together a full playbook & Loom video showing the exact process to set this up yourself. Want access for free? > Like this post > Comment "NANO" And I'll send it over (must be following so I can DM)

Mike Futia

423,260 просмотров • 4 месяцев назад