I Built an Entire Marketing Agency With 1 AI Tool!

Hi, I'm Adil. We just shipped something that every other AI agent has been trying to be. Supercomputer. The super agent that does everything you could possibly ask for all in one chat. From product development, to advertisement, to filmmaking. Now, today, I'm not the one explaining it. I'm handing the mic to Axelton. He's the head of product at Hicksfield, and he'll explain it better than I ever could. Axelton, take it away. Thanks, Adil. Last week, we shipped the smartest AI agent on the market right now. Hicksfield Supercomputer. This is the first agent that does research, generates visual content, and runs marketing end-to-end. Supercomputer plugs into every leading model in one place. The best reasoning models like Claude, Gemini, and ChatGPC, and the best content generators, CDAS 2.0, GPC Image, and Higgs & Sol. And it chooses the right one for each step on its own. This is the revolution generative AI has been waiting for. And we're just getting started. As someone building an AI product, I understand the user's pain. Migration between agent platforms has always been a mess. manual exports, fragmented configs, half your context gun, the other half rebuild by hand. By the time you've onboarded the new tool, you've lost the workflow you had in the old one. So we built supercomputers import natively through MCP, an open standard connecting agents to each other. Two clicks and it pulls not just your entire memory, but also old skills from any agent you've used before. Claw, ChatGPT, Hermes, OpenClaw, all of it lands inside of supercomputer. That's your migration done. Now. Let me show you where most AI products still fall short and where Supercomputer goes further than anything on the market. As a regular user, to get excellent output, you need to follow every model release and know how to use all the tools. Supercomputer is built to remove that pain completely. The core of how it works is skills. Production tested workflows that ship with the product. Skills work in two ways. First, every skill is built by the Hicksville team. Our creatives test every model on real production work, whilst our engineers encode those workflows as skills. So when you run one, You're getting the same playbook our in-house production team uses to ship high-end creative work. Every new model drop will ship a new skill, and every user gets the upgrade. Second, supercomputer writes its own skills, about you, for you. The agent watches how you work, and when it sees you run the same workflow, it saves the pattern as a personal skill. Inspired by Hermes, over time your supercomputer becomes personalized superagent. Hicksfield expertise is the floor. Your personal skill library is the ceiling. Both keep rising. And on top of that foundation... Two architectural choices make Supercomputer work. 1. It analyzes your images and videos directly. It works on the actual frames, not a text description of them. Supercomputer runs direct visual analysis and has native multimodal understanding. It reads the hooks. It tracks the pacing. It identifies what made each clip perform. And it flags the patterns that translate across formats. 2. It routes model selection for you. We call it model orchestrator. You describe the task. Supercomputer handles everything downstream. Auto selection, parameter tuning, asset routing, format choices, retrial logic. Even if you're a first-time user, you get consistent visual output. You don't even have to think about writing prompts. Let me show you. This is Hicks, the AI-generated clothing brand. I'm giving Supercomputer one URL and one instruction. Study the brand and find what's viral in fashion right now. And here's how it looks inside the chat. So, first I write my prompts, learn my brand from the URL, research top-performing fashion content on TikTok and Instagram, and create viral content for my brand. Step 1. Supercomputer invokes a skill, and that's how it knows what to do. LLMs alone don't know how to produce non-stop creative work. They guess at it. Skills give the agent a playbook our team uses internally. So before research runs, before any model gets called, Supercomputer picks the right skill, and everything downstream runs against the playbook. Then it goes. Supercomputer analyzed the brand page and launched a parallel study of social media fashion trends, top performing formats, hook structure, tension curves, caption patterns, and both pipelines running at the same time, sharing context. Then it writes scripts, hooks, briefs, one for every video. And Supercomputer cross-references everything against the brand it just learned and returns a ready content plan grounded in the research. 100 video briefs all matched to us actually performing on the platform right now. And this is where Model Orchestrator does the heavy work. At every step, supercomputer picks the strongest model for that specific task. One pattern we kept seeing in user feedback was cost. Users were burning credits on overpowered models, running trivial steps. Model Orchestrator fixes that by routing each task to the best-suited model, instead of the most expensive one. The result is a 15x reduction in cost across the same workload. In practice, Gemini handles visual analysis, Claude writes a plan, Sol generates the characters, and our video model produces the output. Four different models within a single chat. Once research is done and the content plan is locked, character generation begins. Supercomputer invokes Salt 2.0 to create the characters. And once they're locked as references, video generation kicks off. That's it. 100 UGC videos, fully produced. And you didn't write a single crump to make any of this happen. Supercomputer isn't a tool. It's an entire marketing department running on one chat. In a few minutes, it analyzed top-performing competitors, generated every character, wrote every brief, and pushed everything into production. The next thing I'm going to show you is what the whole industry has been waiting for. But first, let me show you what Supercomputer just created. And that came from one simple prompt. Longform has always been the hardest problem in this category. Holding character consistency, environment continuity across a multi-clip sequence, that's where most agents fall apart. And nobody in the industry has fully cracked it. But we got closer than anyone else, and here's how. Higgsfield Elements is a reference layer that sits between the prompt and the generation model. Characters, environments, props, and brand assets get pinned as references and reused across every shot in a session. For example, our model SOLID goes further for FACES, a trained identity model that holds likeness across all generations. Apart from the talented engineers, Hicksfield has the best-in-class AI-native content production team in the world, working under the same roof. Our AI production team tests every new model, every workflow, and every emergent format, what holds up at production grade and what breaks. Once a workflow earns its keep. Engine is encoded as a skill. A skill that's been trained on real production work. Essentially, this system allows our users to leverage the collective knowledge and expertise of the entire Higgsville team. And let's see what actually happens in the chat when we generated the video you just saw. For this video, Supercomputer ran Cinematic Flow Scale. First, it generated characters and locations in Sol Cinema and saved them as elements for referencing. Then, each clip was generated in CDAS 2.0 using the tools from Cinema Studio, whilst maintaining a scene continuity. And as a final step, the supercomputer stitched it all together into one long sequence. The user runs one command, the skill handles the rest. That's why the long-form videos that come out of the supercomputer hold together. They have the same characters and same environments across the full sequence. And this is how the skill system pays off. You don't waste credits on unpredictable prompts. You run the skill, and it works. So far, we've watched supercomputer make 100 pieces of UGC content in one cinematic film. But apart from being excellent at content creation, super agents suitable for all sorts of tasks. Coding, productivity and more. And this is where the architecture matters. Most agents on the market either generate content or build websites and almost none do both inside the same environment. Which means that the user is running the workflow manually. Export from one tool, import to another, manage assets, manage versions and hold the brick in your head across three different chat windows. We unified that pipeline into one system. Let me show you. This is the output, a fully built website for a beauty brand. A video sequence, product imagery and product copy generated end to end from a single prompt and a single product image. And here's how I actually ran this, through my Telegram connector. I sent a request from my phone to the Telegram chatbot on the way to the office. Same agent, same memory, same skills, just running through my phone. I'm going to open supercomputer on my desktop and the full session from the Telegram chat is already synced. So I can simply check what the agent did and let me walk you through that. Looking at the order of operations in this run, It tells you exactly how the agent thinks about the task. Supercomputer didn't build a side shell and then asked me what to put inside. It did the research first, analyzing the visuals of the highest performing sites in this category. Then it generated the content. Images for the product card and the main hero video. Then assembled the site around the content it had already produced and deployed the website. Now you can share the link with others. And Telegram here is only one of 27 plus connectors we ship with. Gmail, Slack, Notion, Superbase, GitHub and Docs. The connector layer is open and we're adding to it every week. Okay, so let's go over what we've covered. Cinematic One form. You just see ads, TV commercials, product photo shoots and brand campaigns. All of it generated, edited, assembled and shipped. And before supercomputer generates, it researches. It watches the videos your competitors are running. It reads the hooks, the most viral formats. It analyzes what's converting on every platform right now. And then it builds your marketing on that data. No other agent on the market does both. at this level of quality in one place. This is the operating system for a new era of AI content. Supercomputer is live at Hexfeld. Go check it out yourself. Thanks Axelton, that was incredibly insightful. Now you just saw how rich supercomputers' capabilities really are. And we only showed you three use cases. There's lots more to cover, so drop in the comments what you want us to cover next. And as always, if you found this video helpful, hit the like button, subscribe, and I'll see you guys in the next one.

Meet Higgsfield Supercomputer — the first AI agent that researches, generates visual content, and runs marketing end to end, all from a single chat.

Try Supercomputer: https://higgsfield.ai/s/supercomputer-higgsfieldai-UdkAjx

Higgsfield Supercomputer is a new kind of AI agent that combines the best reasoning models — Claude, Gemini, ChatGPT — with the best content generators including Seedance 2.0, GPT Image 2.0, and Higgsfield Soul, and routes each task automatically. In this video, Head of Product Axultan walks through three full workflows: a 100-piece UGC ad campaign, a cinematic long-form film, and a complete branded website — all generated from single prompts. Higgsfield AI's Model Orchestrator handles model selection, prompt writing, and asset assembly so you don't have to.

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