How Claude + Higgsfield Automate 90% Of My Social Media Content
Skai Generated · 2026-05-25 · 12м 17с · 11 046 просмотров · YouTube ↗
Топики: launch-ai-content
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model=openai/gpt-oss-120b · prompt=summary-v7 · 4 955→2 240 tokens · 2026-05-28 08:06:06
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С помощью Claude и платформы Higgsfield можно автоматически создать до 90 % контента для соцсетей (видео‑говорящие головы, кинематографический b‑roll, карусели) за менее часа, потратив менее 70 долларов в месяц.
Шаг 1 — Claude как менеджер соцсетей
Создаётся проект в Claude (долговременная память), в котором сохраняются: описание бренда, ниша, тон общения, целевая аудитория и цели контента. В инструкцию добавляются ссылки 3‑5 конкурентов‑лидеров, чтобы Claude мог проанализировать их самые популярные посты. После сохранения инструкции запускается «master‑prompt», который за ≈ 2 минуты генерирует семь полных контент‑планов на неделю. Каждый план включает: тему, формат, «hook», полный скрипт, подпись в фирменном тоне, набор хештегов и готовый запрос для визуального генератора Higgsfield.
Шаг 2 — Шаблоны в Higgsfield Canvas
2.1 Карусель — два узла
Canvas представляет собой белую доску, где каждый узел выполняет одну задачу. Для карусели используется цепочка из 2 узлов: prompt‑box → image‑generator. В качестве модели изображения выбирается GPT image 2, которая корректно рендерит текст. Настройки: соотношение 1:1, разрешение 4K, batch = 1. Вставив в prompt‑box визуальный запрос, полученный от Claude, генерируется первый слайд за ≈ 30 секунд. Дублируя узлы 6 раз и заменяя запросы, получаем полную 7‑слайдовую карусель за < 15 минут (≈ 84 кредита).
2.2 Talking‑heads — цифровой двойник и пять видеогенераторов
Для «говорящих голов» загружается изображение персонажа (цифровой двойник) и размещается как общий якорь. Затем создаются пять пар узлов prompt‑box + video‑generator. Видеогенератор использует модель Seedance 2.0 с параметрами: вертикальное соотношение 9×16, разрешение 1080p, batch = 4, включённый аудио‑модуль C‑Dance. Скрипт разбивается на 5 сегментов 8‑13 секунд, каждый получает небольшую сценическую инструкцию (например, «static shot»). Генерируются четыре варианта каждой части, выбирается лучшая, после чего все сегменты собираются в один ролик, имитирующий съёмку с живым лицом и синхронным озвучиванием.
2.3 Кинематографический B‑roll — трёхузловая цепочка
Для динамичных b‑roll‑клипов используется цепочка из трёх узлов: prompt‑box → Flux 2 Max → Kling 3.0. Flux 2 Max создаёт статичную фотографию (соотношение 16:9, 2K), а Kling 3.0 анимирует её в 8‑секундный клип без звука. Чтобы обеспечить визуальное единство, в каждый запрос Flux передаются два референс‑изображения: лицо персонажа и фото рабочего места. По описанию Claude разбивается на 8 отдельных сцен, каждая генерируется отдельным набором узлов, после чего собирается в общий ролик.
Шаг 3 — Финальная сборка и публикация
Готовые изображения карусели сразу скачиваются и публикуются. Видео‑фрагменты (talking‑heads и B‑roll) импортируются в лёгкий видеоредактор (например, CapCut), где соединяются в последовательность, добавляются субтитры, музыкальное сопровождение и текстовые оверлеи. Подписи и хештеги, сгенерированные Claude, копируются без изменений в посты Instagram или TikTok. Весь процесс от генерации планов до готового контента занимает менее часа.
Стоимость и экономия
Подписка на Claude стоит ≈ 20 USD/мес, а на Higgsfield ≈ 50 USD/мес — суммарно < 70 USD. Сравнительно, штатный человек‑менеджер соцсетей обходится в 2 000‑4 000 USD, видеомонтаж 500‑1 500 USD, а привлечение UGC‑создателя ≈ 300 USD за рекламный креатив. Таким образом, автоматизированный стек экономит от 3 000 USD до 6 000 USD в месяц.
Преимущества полностью автоматизированного контент‑мейкера
- Работает круглосуточно без отпусков и болезней.
- Не требует съёмок, модели и актёров; всё генерируется из текстовых запросов.
- Позволяет быстро масштабировать выпуск контента (ежедневные talking‑heads, несколько каруселей и набор B‑roll‑клипов).
- Обеспечивает единый бренд‑голос и визуальный стиль благодаря единому набору инструкций и шаблонов.
📜 Transcript
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Claude and Higgsfield can now automate 90% of our social media content in under an hour. Talking head videos that look exactly like us. Cinematic b-rolls that feel professionally made. Scroll-stopping carousels, plus scripts and captions written in our exact brand voice. All the content we need, plus more, running on autopilot. Honestly, this is the only thing I've actually seen live up to the AI content machine hype. And the crazy part? It costs less than $70 a month. So in this video, I'll show you the exact three-step system I use to run my entire content machine. We'll start by turning Claude into our social media manager. Then we'll build three Higgs field canvas templates that cover every type of content we need to post. And by the end, we'll have a full week of content ready to go in under an hour. We're using Higgs field for all our visuals today since it has every model we need. And the best part is that it lets us chain all those models together into one automated workflow. So if you want to try this yourself, the link's in the description. And stick around because I'll also give away the exact master prompt I use every single week to plan my content. Let's get into it. Step 1 is all about turning Claude into our personal social media manager. And the way we do that is by setting up a Claude project. Think of it like Claude's long-term memory. A regular chat forgets everything the moment we close the tab, but a project remembers our brand voice, niche, and content style across every single session. Let's walk through it together. We'll head over to Claude and click New Project on the left sidebar. We'll name ours Content Machine, that's what mine is called. Now we're going to look for a section called instructions. So we're going to paste in our channel context, our niche, our tone, our target audience, and our content goals. Don't overthink this. A simple paragraph describing who we are and who we make content for is enough. For example, mine looks something like AI tools for creators who aren't engineers. Calm, honest, slightly skeptical voice. We talk like a friend who actually tested the tool, not a guru selling a course. Next, we're going to drop in three to five competitor channel URLs. These should be creators in our niche who are already going viral. We're basically giving Claude a free education on what's already working in our space. Instead of guessing what topics we'll hit, Claude can now study the breakout posts, the ones with way more views than that channel's average. That's where all the gold is hiding. Once we've pasted everything in, we'll hit save instructions. This is the master prompt I built over months of testing, tweaking, breaking, rebuilding, and it's the one prompt I run every single Monday to plan my entire week of content. We'll copy the master prompt, paste it into the Claude chat, hit send, and wait about two minutes. From here, Claude reads our brand context, studies our competitors, and builds out seven complete content blueprints for the week. At the top, Claude gives us a three-sentence summary of what's actually working in our niche right now. It pulls out the specific gap our competitors are leaving open, the highest-performing pattern we should weaponize, and the angle that'll separate us from everyone else. This part alone is what a real strategist would charge thousands for. Then below that, we get our seven posts. Each post comes with a topic, a format, a hook, a full word-for-word script, a caption written in our brand voice, hashtags, and, this is the important part, a ready-to-paste Higgs field prompt for the visuals. But none of this is content yet. We still have to build it. This brings us to step two, where we take these blueprints and turn them into post-ready content. This is where Higgs field canvas comes in. If you've never used Canvas before, here's the simplest way to think about it. It's a giant whiteboard where we drop little boxes called nodes. And each node does one job. One generates an image. One generates a video. One holds our prompt. Then we connect those nodes like an assembly line. The output of one node feeds straight into the next. So instead of bouncing between five different tabs and copy-pasting prompts one by one, we build the whole pipeline once and let it run as much as we want. We're going to build three templates. One for each type of content so we never have to build them from scratch again. Carousels, Talking Heads, and Cinematic V-Roll. Let's head over to Higgs Field and click Canvas at the top. We'll create a new blank canvas and name it Content Machine. Let's start with the simplest one first. For our carousel template, the chain is super simple. We just need two nodes, a prompt box, and an image generator. To add a node, we'll double click anywhere on the canvas. First to add a prompt box, then again on the right to add an image generator. Now we'll connect them. We just hover over the right edge of our prompt box, grab the small T output dot, and drag a wire over to our image generator. That's our chain. Now we click on the image generator, and a settings panel pops out on the right. This is where we set our model to GPT image 2. It's the only model I've found that renders text on images cleanly. Every other model still butchers letters and turns them into weird alien symbols. So whenever we have words on screen, a carousel, a quote post, an infographic, GPT image 2 is the move. For our settings, we'll set aspect ratio to 1 by 1 for square carousel slides, resolution to 4K, and batch size to 1. Let's run this template using the output from our master prompt earlier. We'll pull up post number 5. It's a 7-slide carousel called 5 prompts we use every week. Claude already wrote us the visual prompt. So we'll just have to paste it into our prompt box, hit generate, and Canvas spits out our first slide in about 30 seconds. Honestly, look at that text rendering. Every single letter is clean. This is the entire reason we use GPT image too. And here's where the system pays off. To generate the rest of carousel, we just select our prompt box and image generator, copy and paste them 6 more times down the canvas, replace each prompt with the next slide's content, and run the pipeline. And just like that, we have an entire 7-slide carousel ready to post. Total cost? About 84 credits. Total time? Under 15 minutes. That's template A done. But the real reason we're here? The talking heads. This is the part I was hyping up at the start, because we're about to put a version of us on camera. Speaking, gesturing, lip syncing, without ever filming a thing. We'll create a a fresh canvas and start over. For talking heads, we have two options. Option one is to make our sole ID, which is Higgsfield's digital twin feature. We'll just upload 20 photos once, and our face is locked in forever. That's the long-term move for building a personal brand. But for today's demo, we already generated a custom character using Nano Banana Pro. First, we'll double-click, select Assets, and upload our character image. We'll position it at the top center of the canvas. This is our shared anchor. Then we'll add five prompt box nodes in a row below it. Below each prompt, we'll add a video generator node. Each video generator needs two inputs, the character's face and the script. So we'll wire our character image to all five video generators, then we'll wire each prompt box to the video generator below it. The result looks like a tree. Now we click on a video generator to set our model. We're picking Seedance 2.0. We'll set aspect ratio to 9x16 vertical for Reels and TikTok, resolution to 1080p, and batch size to 4. For talking heads, every generation has slightly different lip sync, gestures, and voice tones. So we generate four variations and pick the best take, just like a real shoot. The most important setting, generate audio, needs to be turned on. With it on, C-Dance handles voice, face, gestures, and lip sync all in one pass. Let's run this template using post number one from Claude, the talking head about the AI tools we cancelled last month. Now, one important note about C-Dance, each generation caps at around 15 seconds. So we can't just paste the full script into one prompt. Instead, we chunk it into five segments, one per prompt box, at natural pause points. We want each segment to land between 8 and 13 seconds, because anything shorter sounds dramatic, and anything longer sounds rushed. Then we add a quick line of scene direction at the top of each prompt. Stuff like static shot, no camera movement. We also lock in the voice type and speaking style. For our character, that's a warm European male voice with a classy measured delivery. This keeps the variations tight across all five segments, so the final stitched video feels like one continuous take. We hit run pipeline at the top of the canvas. Last month, we tested seven AI tools. Five of them were completely dead weight. Not kinda bad, not needs improvement. I mean unusable. The lip sync is dialed, the voice is consistent across all five segments, and the gestures actually match what's being said. We could literally post a new talking head every single day without ever stepping in front of a camera. But there's one One type of content Claude gives us that neither of these templates can handle. The cinematic shots. For our talking head and carousels, we just used one model. But for cinematic B-roll, we're going to chain two models together. When we tried generating B-roll directly from a text prompt, the results were rough and inconsistent. So instead of asking a video model to imagine the shot from scratch, we're going to feed it a pre-rendered photograph as a reference frame. This gives us total control over the look before motion gets added. A prompt box feeds into Flux 2 Max, which generates our photographic still. Then that still feeds into Kling 3.0, which animates it into an 8-second cinematic clip. Three nodes per chain instead of two, but the quality difference is night and day. For Flux 2 Max, we'll set aspect ratio to 16 by 9, resolution to 2K, and batch size to 1. For Kling 3.0, we'll set mode to Pro, duration to 8 seconds, aspect ratio to 16 by 9, and sound off. This is a silent b-roll and we'll just add music later. Let's run this template using post number 3 from Claude, the cinematic b-roll about the part of AI tutorials nobody actually shows. Claude's visual description gives us a multi-shot sequence. So we don't just generate one clip, we chunk Claude's description into eight individual shots. Kling 3.0 has its own motion prompt field where we describe how things move. So our text prompt goes to Flux 2 Max to define the scene, and a much shorter motion prompt goes to Kling 3.0 to define the movement. Stuff like, hands close the laptop lid in a single slow deliberate motion, then settle on the desk. Another thing to remember is that we don't need to repeat the scene in PrompT box. It already gets the reference from the still. Now here's where most people mess up. The first time we ran this, every shot came back with a different person's face, different hair, different jawline. Eight shots, eight different strangers. So here's the fix. We're going to feed Flux to max two reference images per shot. The first is the same character we used for our talking head, and the second is a reference photo of the workspace itself. After we've connected all the nodes, we hit run pipeline. Just look at how this turned out. Now these eight clips aren't just for this one post. Once we've got a folder of cinematic b-rolls, we can drop these shots into any future video we make. But our video still needs some finishing touches. Step three is the smallest step, but it's the one that ties everything together. Our carousel posts are already done, they're just images, so we download the slides, post them, and move on. But our talking head videos and b-rolls, those are still sitting in pieces. Honestly, this is the only part I haven't been able to fully automate yet, but it's just a few minutes of light editing and cap cut. For our talking head, we drop the five segments on the timeline in order. We add captions, drop in some music, and we're done. For our b-roll, we drop the eight shots on the timeline, time them to the rhythm we want, layer in some text overlays, add a music track, and this is what we got. Now here's the part I love. Remember in step one when Claude built our seven blueprints? Each one already came with a full caption and hashtags written in our brand voice, so we don't even need to write anything new. We just open the original Claude output, copy the caption for whatever post we just edited, and paste it directly into Instagram or TikTok. That's a full week of content ready to go in under an hour. But let's talk about the part that genuinely shocked me when I added it all up. Here's what this entire stack actually costs us. Claude is $20 a month. Higgsfield is $50 a month, which means it's $70 a month in total for an automated content machine. Now let's compare that to what a human content team would actually cost. a solid social media manager runs anywhere from $2,000 to $4,000 a month. A decent video editor is another $500 to $1,500 a month. And a UGC creator is around $300 an ad. So on the low end, we're looking at around $3,000 a month for a human team. On the high end, closer to $6,000. And we're replacing all of that with a stack that costs less than a single dinner for two. For that price, we have a system that works 24-7, never asks for time off, and never misses a deadline. So that's the exact three-step system I use to automate 90% of my social media content. If you want to run this yourself, Higgsfield is the engine behind everything we just built. And right now, we can get full access to Higgsfield Canvas and every model we use today starting at just $39 a month. The link's in the description below. But here's the thing, automating our content is just the top of the funnel. If we want to actually turn that attention into paying customers, we need ads that sell like crazy. And I broke down the exact blueprint for that in this video. Click it now, and I'll see you on the other side.
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I Automated My Content With Claude And Higgsfield - Here's How! Try Higgsfield :)) https://higgsfield.ai/ai-video?fpr=utm&fp_sid=skai Hey Friends :)) In this video, I'll show you how Claude and Higgsfield can automate 90% of your social media content creation. This powerful combination of ai automation systems generates talking head videos, cinematic b-rolls, and carousels, complete with scripts and captions in your brand voice. Discover how this ai video generator can streamline your content creation process for less than $70 a month! Prompt Pack: https://docs.google.com/document/d/1rf2v7UNbLGm9RF0_5MOPMLjARYdt-nmEIeIDPz8tt-I/edit?usp=sharing