Machina
@EXM7777 • 153,372 subscribers
running ai-powered agencies | https://t.co/fMOmHWBgHG
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i finally cracked long-form AI ads with GPT-6 Astra... my setup now produces 5min+ videos on autopilot in 4k 60fps, here's how it works (running inside Codex): - it starts in the meta ads library, pulling the winning ads in the niche before writing a single line - from that research it writes the full script, every scene mapped before anything generates - image models handle the character and environment sheets - video models handle the actual sequences - Suno generates the soundtrack to sit under the whole thing - one CLI controls what generates, in what order, and with which model - delivery comes out with cinematic motion, fluid camera work, any ratio from vertical 9:16 to widescreen 21:9 i explain how to build this in the article below:
Machina163,534 次观看 • 1 个月前
i simply can't comprehend why everyone isn't building this yet... Andrej Karpathy, co-founder of OpenAI, pretty much invented the modern concept of "knowledge base" let me explain to you what it means... your offers, your ad angles, your content pipeline, the way you write, every decision you already made... all of it in one place any model can skim in seconds > build the vault in Obsidian, five notes deep: the offer, the client, the voice, the playbooks, the rulings > hand each worker only its slice, the writer gets the voice note, the outreach worker gets the client note, nobody loads the whole thing > every correction you make becomes one line in the rulings note, and every worker reads it before starting, so you fix a thing once instead of forever the workers are interchangeable... the vault is the business the full system is in the article below:
Machina294,839 次观看 • 2 个月前
building your own AI influencer right now is like investing in Bitcoin in 2017... and i'm giving you away the exact playbook using Higgsfield: brands are literally pouring BILLIONS into Instagram, TikTok, YouTube and X just to get seen most of them don't even care how it converts, they just want awareness and a seat in the conversation all you need is to get started: - create your character from scratch using Higgsfield AI Influencer - scrape Instagram and TikTok hashtags, comments, posts... using Apify - find what's currently working, then use Genjutsu to put your influencer in the trends - grow your account and watch the first offers arrive - repeat the process daily, push a lot of content, get a lot of inbound and profit
Machina34,855 次观看 • 13 天前
startups in 2024: > raise $500K > hire a design agency > wait 2 months for a website > launch with a site that looks like every other YC company startups in 2026: > find the YC company site they wish they had > paste it into Base44 > launch with a better version in the same afternoon
Machina426,282 次观看 • 6 个月前
this is Alex Hormozi, the guy who sold $16M of one book in a weekend "if you can articulate someone's problem better than they can, they will inherently believe that you can solve it" the article below is the other half of that law: a 4-step process for finding the problem you should productize... the ones you already solved in your own life you felt the pain, you know the fix works, you have the receipts read the full piece below:
Machina131,637 次观看 • 3 个月前
Andrej Karpathy said something that really stuck with me: "you have to ask yourself: how do i get MAXIMUM output from AI with minimum input from me, and have it run for a long time without me" this is how everyone should be working with AI... and these guys pretty much built the GTM version of it: - one prompt turns your browser into a GTM agent - it goes and finds leads, researches companies, sources creators for your campaigns - it checks inboxes and updates your spreadsheets while you do literally anything else hours of manual GTM work, gone from one prompt
Machina39,365 次观看 • 26 天前
you're only using 10% of Grok Bot if you're not building this... Grok Bot + Obsidian is lowkey insane because you can run dozens of agents all connected to the same knowledge base i've built my vault from thousands of notes, with very specific instructions for my agents on how to drive revenue for my businesses: - SEO/AEO tactics and strategies - copywriting frameworks - advanced research on my competitors - scripts for UGC and creatives - outreach techniques - emails swipe file... building this should be your priority
Machina62,678 次观看 • 1 个月前
i'm actually insane for sharing this but here we go... i built the complete AI Image Generation System: - 6-module course covering Gemini, Midjourney, GPT and Seedream 4.0 - blueprints to craft perfect prompts and start making money - 20 JSON templates for Nano Banana - 15 Midjourney SREF styles - access to Composition AI - a model trained on elite techniques to generates perfect prompts (and images) for you i'm taking this down in 24 hours because honestly this should be paid content reply "IMAGE" + retweet for access (must be following so i can send the dm)
Machina345,323 次观看 • 1 年前
cancel all your plans for tomorrow for the first time in history we'll have absolute supernovas sitting inside the best harnesses that exist you could use GPT-5.6 Sol and Fable 5 to plan, orchestrate and execute any project you could ever think of basically bring to life any idea that crosses your mind this isn't the time to build in public, grind weekend projects or watch the world cup get as many Claude and ChatGPT subs as you can, go in debt if you have to it's time to leverage this next generation of models and get f*cking rich
Machina94,871 次观看 • 3 个月前
people who pull off this level of detail consistently will be the highest paid creators in the world... because producing great AI videos is turning into the same job as being an architect in Inception to create original videos you can use freely, you'll literally have to engineer complete environments... character designs thought through down to how they move and dress, every little detail accounted for as models get better, the artifacts and weird glitches fade, so there's nothing left to hide behind... winning becomes pure craft, detail obsession as a full-time job
Machina49,320 次观看 • 1 个月前
steal my full workflow to create ultra-realistic AI videos with GPT-6 Astra... higgsfield just released their API, so i took it into real conditions i generated a vlog-style video set in Paris... it looks like raw footage a friend shot on a phone here's the workflow, step by step: > step 1: steal the structure, not the pixels i captured 3-5 scenes from a hotels and river views, then pulled character inspiration from pinterest and real vlogs > step 2: analyze the reference with Gemini i sent Gemini everything i'd collected... videos, audio, keyframes and it gave me a shot-by-shot breakdown, i turned that into instructions > step 3: swap the world, keep the bones i changed a lot on the character and the environment until it felt like something of my own, not a copy > step 4: build reference images first, this is where you iterate images are cheap, video is expensive so i built a character sheet, one image per location in the same mood, then the exact start frame the video opens on, all Nano Banana Pro > step 5: one 30-second video run, not ten 3-second clips the full timestamped script goes to Seedance 2.5 through the API as ONE generation start frame as the anchor, one action per beat, camera and audio described concretely, identity locks at the end so her face, outfit and makeup is locked in Seedance handles the cuts internally > step 6: revise like a director, not a gambler the first cut came back good but not right instead of re-rolling the whole 30 seconds i regenerated only the scenes that needed changes as short clips from their own start frames, then cut them into the master with ffmpeg change one variable at a time, never re-roll what already works > step 7: finish like normal footage i assembled the final cut with ffmpeg from the best takes, added ambient music from a free library and done the rules that made it work: - the reference's structure is the asset, prompt archaeology beats prompt writing - iterate on images, commit on video, the start frame decides 80% of the shot - one action per timestamped beat, crowded beats get skipped or invented - lock identity explicitly or it drifts between cuts - fix failed shots by changing one variable, redo scenes, never the whole video - the last 10% is boring editing: trim, splice, music, encode (save this workflow)
Machina28,358 次观看 • 1 个月前
i genuinely don't understand why i'm the only one using this... Andrej Karpathy, engineer at Anthropic, invented the concept of the LLM Wiki inside Obsidian i used it to build my own local knowledge base for generating AI videos on autopilot, here's how it works: - i sent to Claude Code hundreds of movies, ads, anime references - it ingested all of it and created smart links between each so it's easy for any agent to read it - whenever i want to make a video using Seedance 2.5 (coming soon on Higgsfield), the agent picks up the right format, composition and lens my whole video production pipeline lives in an AI agent with access to Higgsfield's suite: CLI, skills and all models (for image, video, voice and music) this is the absolute best way to work with AI agents in 2026... i teach you how to build the same in the article below:
Machina53,232 次观看 • 2 个月前
![i rebuilt the Odyssey the way Homer actually wrote it and handed the whole thing to AI: the gods, the monsters, the fights the movies always skip, scored like the real thing... but it's not, the whole thing was one-shotted by AI in an hour, here's how you can do the same: > access Higgsfield Supercomputer: all image & video models, plus all the skills you need > feed 5-10 stills from a film you love to a vision model and lock its answer into a style contract > build it as 14-16 isolated shots of 3-5 seconds, never one continuous scene, identity drift starts past 30 seconds > animate stills, not ideas: every clip starts from a locked keyframe with a named camera move and an in-scene event > chain shots: the last frame of one clip becomes the reference of the next, continuity for free > time-code the climax inside one generation: [0-4s] wide, [4-8s] push in, [8-12s] close up, [12-15s] reveal > brief the score in movements (build, peak, quiet, resolve), then trim the cut to the music the full system, prompts included, is in the article:](https://image.24vids.com/tw-2082120240109150705/amplify_video_thumb/2082120143438831616/img/2jK5TU23j2ovymwU.jpg)
i rebuilt the Odyssey the way Homer actually wrote it and handed the whole thing to AI: the gods, the monsters, the fights the movies always skip, scored like the real thing... but it's not, the whole thing was one-shotted by AI in an hour, here's how you can do the same: > access Higgsfield Supercomputer: all image & video models, plus all the skills you need > feed 5-10 stills from a film you love to a vision model and lock its answer into a style contract > build it as 14-16 isolated shots of 3-5 seconds, never one continuous scene, identity drift starts past 30 seconds > animate stills, not ideas: every clip starts from a locked keyframe with a named camera move and an in-scene event > chain shots: the last frame of one clip becomes the reference of the next, continuity for free > time-code the climax inside one generation: [0-4s] wide, [4-8s] push in, [8-12s] close up, [12-15s] reveal > brief the score in movements (build, peak, quiet, resolve), then trim the cut to the music the full system, prompts included, is in the article:
Machina51,221 次观看 • 2 个月前
save this post to get the most out of unlimited Seedance 2.5 for up to 33 days on Higgsfield i'm going to show you how to use loops to produce ANY video format: ads, cinema, vlogs, UGC, music videos... with one system idea > vault > agent > references > images > script > video > montage > upscaling Seedance 2.5 one-shots a full 30 second video, audio generated in the same pass, carrying up to 30 image, 10 video and 10 audio references into a single generation here's a full breakdown of the setup: > idea: steal taste from work that already worked: - frameset․app and shotdeck․com for film stills - savee․com and cosmos․so for boards - eyecannndy․com for transitions then have a vision model name the lens, light, palette and grain of your picks in one locked paragraph you paste into every prompt > vault: an obsidian folder as your reference bible, one page per asset (idea, locked style, character sheets, reference images, the exact prompts that worked) plus one index page, reviewed after every session so it never rots into dead files > agent: three commands make every model callable from Claude Code: - npm install -g @ higgsfield/cli - higgsfield auth login - npx skills add higgsfield-ai/skills and your agent now submits, polls, retries and logs every job > references: build reference images by hand first, midjourney for cinema and stylized shots, nanobanana pro or gpt images 2 for realism use one locked style across the whole project, recurring characters turned into full sheets (front, side, back, blank background), and once locked you never regenerate them, you fix the motion prompt instead > images: frames before motion, always, a frame costs seconds and a clip costs minutes, so exploration happens at the cheap layer and only winners get animated > script: every shot gets the same six details, subject, action, place, camera, style, rules, and the 30 seconds splits into four timed beats inside one prompt, 0-6 set the scene, 6-14 build it out, 14-24 the turn, 24-30 the end > video: every reference gets a job and a boundary, "Video 1 defines motion and pacing" is half the instruction, "do not use the person's identity, clothing or scene" is the half that stops one reference leaking into shots it was never meant to touch > montage: the cut is a text file, one line per clip with its duration and an audio flag, ffmpeg renders the film from it, so the whole edit reruns in seconds > upscaling: once, at the end, on the finished cut, 720p while exploring, 1080p for keepers, 4K only for the master (use Topaz) for UGC ads, the same loop with two changes render the hook clip alone first, approve the face and the voice before anything else inherits them, then anchor every later clip with the approved hook's audio so one voice carries the whole ad and the script math is fixed, about 3.5 words per second, a 30 second ad is roughly 105 words, counted before anything renders unlimited means every loop above costs nothing to run... start one tonight
Machina39,183 次观看 • 2 个月前
Andrej Karpathy, OpenAI Co-founder, introduced the "LLM Wiki" - a knowledge graph inside Obsidian i built my own version for GTM and here's exactly how you can do the same: - one vault, one folder per thing your business knows: offer, buyers, voice, market map, rooms, workflows, rulings, prospects, signals, messages, metrics - one note per fact, 50-150 words, a title you can say out loud ("a budget that can survive"), four frontmatter keys (type, tags, created, status) - every note links to its folder hub, two siblings and one note in another folder, so the graph becomes one connected web instead of eleven islands - a rulings folder where every correction you give an agent becomes one dated line, and every run reads it before drafting... a correction becomes permanent instead of repeated - Claude Code pointed at the vault reads the hubs first, greps the rulings, then drafts, and everything it learns goes back in as a note the same day - graph view colored by folder, hubs in white, so you see which cluster is thin before a workflow fails the article below teaches you how to build the full workflow step-by-step:
Machina30,551 次观看 • 2 个月前
here's how to use Grok 4 to go VIRAL on X: i grew this account from 0 to 10K+ followers in less than 2 months and already cracked the algorithm... but the integration of X inside Grok 4 is something different i built a collection of 30+ prompts and tasks you can steal: - find viral videos using x_keyword_research and craft banger tweets - scrape for viral tweets with semantic search and repurpose them in threads - weekly feed analysis to generate infinite content ideas in your niche reply "GROK" + retweet and i'll send it for free (must be following so i can dm)
Machina116,966 次观看 • 1 年前
Fable 5 generated this INSANE 3D Hogwarts environment... and it does it so easily because Anthropic built it to excel at long horizon tasks... working on its own for hours until it's perfectly done 3D maps, games and assets are the perfect showcase of that if you want to learn how to master this insane model, check out the full course:
Machina35,800 次观看 • 3 个月前