Stop Switching Between Claude, GPT and Grok. Run Them All at Once.

What if I told you that AI inside a single chat can already do almost anything? Create a UGC video, build a CRM, spin up the exact AI agents you need, pull a clean transcript out of your voice note. All in the same window, without switching tools.

It's called Higgsfield Supercomputer, and it packs every top model, Claude Opus 5, Seedance 2.0 and a lot more, all working together inside one chat.

In this guide you'll learn everything you need about the Supercomputer: what it is, how to start using it, how to run most of it for free, and 18 concrete examples of what it can do, each with a ready prompt you can copy and paste.

What Supercomputer actually is

A normal AI subscription gives you one great model inside a chat box. You type, it answers, and everything else is on you: switching tools, copying results between tabs, redoing work when the model forgets who you are.

The Supercomputeris different. It runs Claude, GPT, Gemini and Grok in one place and routes each task to whichever one fits best. It plans and drafts for free. It remembers your context and your style across sessions. It connects to the tools you already use and it can run jobs on a schedule without you sitting there.

The practical upshot is that you never juggle four apps or decide which model to open. You say what you want done, it works out which model should handle it and you stay in a single window from start to finish.

The honest comparison

A single subscription is simpler and cheaper if all you need is one model for writing or code. If that's you, stay where you are, you don't need this.

The Supercomputer wins the moment your work spans more than one thing. Building, content, research, automation, all in one window, with the best model auto-picked for each. No five tabs, no five bills, no betting your whole workflow on one provider when the best model changes almost every week.

So the real question isn't which is better. It's whether you need one model or a complete system. If it's the second, this is the one to use.

How to use it for free

This is the part that changes how you work. Planning, research and drafts run in Free mode at zero cost. You only pay when it renders the real, final output.

That means you can test ten directions, throw away nine, and only spend on the one that works. Explore first, commit later. Most of what's in this guide you can try without paying anything.

Three ways to start

You don't have to change where you work. The Higgsfield Supercomputer meets you in three places, pick whichever fits your setup.

In the browser. The simplest way. Go to the Higgsfieldsite, open the Supercomputer chat, and start typing. Everything below works right here, no setup, nothing to install. This is where most people should start.

Inside Claude. If Claude is already your daily driver, you can plug the Higgsfield Supercomputer straight into it. In Claude, go to Settings, then Connectors, add a custom connector, name it "Higgsfield" and paste the URL https://mcp.higgsfield.ai/mcp. Click Add, then Connect, and sign in with your Higgsfield account. No API key, it authorizes once through your account. From then on Claude can hand any task straight to the Supercomputer without you leaving the chat.

On Claude Code it's a single command:

1claude mcp add higgsfield https://mcp.higgsfield.ai/mcp

Then authorize in the browser prompt that follows.

From the command line. If you live in the terminal, there's also a CLI that makes every model callable from your own scripts, or from any harness you already run. Setup is three commands:

1npm install -g @higgsfield/cli
2higgsfield auth login
3npx skills add higgsfield-ai/skills

The last command adds a skills bundle that tells your setup which model to use for what. From there you fire any model from one line and swap names as needed. Pick this door if you want the Supercomputer wired into automations you've already built.

Same engine under all three. The browser is the simplest place to start. The Claude connector is for people who already work in Claude all day and don't want to leave it. The CLI gives you full control from your own code.

Before we jump into the examples, two tips that apply to all of the work below:References - don't describe everything in words. If you like a site, product or video, drop the link in and say "make something like this, but change X." Pointing at a real example beats paragraphs of description every time.

Reusable blocks - keep what never changes, your style, context and rules, in a fixed block, and only rewrite the part specific to each task. Set the constants once, vary the variable, done.

Build and development

1. A working app from one promptYou describe the app you want and it builds it, front to back, no team and no boilerplate. Good for tools, dashboards, small products, anything you'd normally hire someone to prototype.

1Build a complete, working web app for me, not a mockup or a plan.
2
3The app: [describe what it does and who it's for].
4The main screens: [list the pages or views].
5The key features: [list the 3-5 things a user must be able to do].
6
7Build the frontend, the backend logic and the data layer so it actually runs end to end.
8Use sensible defaults for anything I haven't specified, and tell me the choices you made.
9When it's working, show me a live preview I can click through.
10Then give me clear step-by-step deployment instructions, and offer to deploy it for me.

2. A landing page and the ads to sell it

Describe a product and get a live landing page plus the ad creatives to drive traffic to it, in one go. Copy, layout and visuals come out together instead of across three tools.

1Build a complete, publishable landing page for [product].
2
3First write the copy: a headline, a subheadline, three benefit sections, and one clear call to action.
4Then design and build the page around that copy so it renders as a real, responsive page.
5Match the tone to this audience: [audience], and this brand feel: [colors or reference].
6
7Once the page is done, create the ads to drive traffic to it.
8Generate three ad creatives and three matching captions I can run.
9Show me the page preview and the full ad set together, and tell me how to publish both.

3. An internal tool or CRMInstead of paying monthly for software that almost fits, describe the exact workflow you have and get a tool built around it. Yours, shaped to how you actually work.

1Build me a working internal CRM tailored to my business, not a generic template.
2
3My business: [what you do].
4I need to track: [contacts, deals, stages, notes, follow-ups].
5My pipeline stages are: [list them in order].
6
7Build it so I can add, edit, move and search entries easily.
8Include a dashboard showing active deals, what's stalled, and what needs follow-up today.
9Make it actually run, show me a working preview, and tell me how my data stays saved.

Content and marketing

4. An ad video

Hand it a brief and get a finished cut, not raw clips you still have to assemble. It writes the concept, generates the footage, and edits it together.

1Create a finished, ready-to-post ad video for [product], not just raw clips.
2
3Length: about 30 seconds, vertical format for social.
4Structure: a strong hook in the first three seconds, then the main benefit, then a clear call to action.
5Style and mood: [describe it, or link a reference].
6
7First write the script and the shot list.
8Then generate the footage, then edit it into one cut with music and captions.
9Show me the final video, and give me one alternate hook I can test against it.

5. UGC content at scale

Spin up creator-style content with faces and voices for a campaign, in the volume paid ads actually need. One brief, many variations.

1Create five finished UGC-style videos for [product], each ready to post.
2
3Give each one a different creator angle:
41. the problem it solves
52. an honest first-person review
63. a before and after
74. an unboxing or first impression
85. a quick how-to.
9
10Keep each under 20 seconds, casual and natural, like a real person filmed it, not a polished ad.
11Generate the footage, voice and captions for each.
12Present all five together, with a suggested caption per video.

6. A week of social posts, written and scheduled

Give it your topic and voice and it drafts a full week of posts, then queues them to your connected accounts. You review, it ships.

1Write and schedule a full week of posts for [platform], in my voice.
2
3Here are three examples of how I write, match this tone exactly: [paste examples].
4The topic to cover this week: [topic].
5
6Write seven posts, each a distinct angle so none of them repeat.
7Then connect to my [platform] account and schedule them, one per day across the week, at strong posting times.
8Before anything goes live, show me all seven with their scheduled dates so I can approve or edit.
9Do not post anything until I confirm.

7. A long video into clips with captions

Drop in a podcast or long video and get the best moments cut into shorts, captioned and ready to post. The find-the-clip work is done for you.

1Turn this long video into ready-to-post shorts: [link or file].
2
3First watch or transcribe the whole thing.
4Find the five strongest standalone moments, the ones with a hook, a payoff or a strong quote.
5Cut each into a vertical short under 60 seconds.
6Add clean captions to each, and keep the speaker centered in frame.
7Present all five clips, each with a suggested title and hook, ranked by which will perform best.

Research and analysis

8. A full research report from one prompt

Ask a real question and get a structured report back, sources pulled, findings organized, not ten tabs you have to read yourself.

1Research [topic] and write me a clear, structured report.
2
3Pull from current, credible sources and cite each one.
4Cover: what's happening now, the key players, the numbers that matter, the main risks, and where it's heading over the next 12 months.
5Organize it in clear sections with short paragraphs, written for a smart reader who is new to the topic.
6Where sources disagree, show both sides instead of picking one.
7End with a short "what this means" takeaway.

9. A messy spreadsheet cleaned into conclusions

Hand it a raw, ugly dataset and it cleans it, analyzes it, and tells you what it means, with charts if you want them.

1Here is a messy spreadsheet: [file].
2
3First clean it: fix the formatting, standardize the columns, remove duplicates and obvious errors.
4Tell me exactly what you changed.
5Then analyze it and give me the three most important things it reveals, with the numbers behind each.
6Build a simple chart for each of those three findings.
7Return the cleaned file plus a short summary I could send to someone else.

10. A competitor or market teardown

Point it at a competitor or a market and get a straight breakdown, positioning, pricing, what they do well, where the gaps are.

1Do a full teardown of [competitor or market].
2
3Cover their positioning, their pricing and tiers, their clearest strengths, and their clearest weaknesses.
4Pull real numbers wherever you can find them, and cite the sources.
5Then map the gaps: where they're weak or ignoring customers, and the specific openings I could move into.
6Finish with three concrete moves I could make, ranked by effort versus payoff.

Tasks that run on their own

11. A bot that runs on a schedule

Set up a job once and let the Higgsfield Supercomputer run it on its own, every hour, every morning, every day. This is the Scheduled Tasks feature: you describe the work and the cadence, and the agent plans and runs it on schedule inside the product. Nothing to install, nothing to host. This is where a chat stops being a tool and starts being staff.

1Set this up as a Scheduled Task that runs automatically on a schedule, not a one-time answer here in the chat.
2
3The job, each run: [describe exactly what to do].
4The schedule: run it every [day and time, or interval] on its own, even when I'm offline.
5Each run, do the job, then send the result to [connected tool] as a short summary.
6
7Keep the whole thing running inside the Supercomputer, I don't want to host or deploy anything myself.
8Before you turn it on, confirm the schedule back to me and show me what one run's output will look like.
9Once I approve, activate it and keep it running until I tell you to stop.
10Only message me between runs if something needs a decision from me.

12. Auto-monitoring and alerts

Have it watch something that matters, a price, your mentions, a news topic, and message you the moment it changes. You stop refreshing tabs.

1Set up a Scheduled Task that monitors this on its own, not a single check right now in the chat.
2
3Watch this: [price / keyword / mentions of my brand / news topic].
4Check it automatically every [interval].
5Only alert me when [specific condition] happens, so I don't get noise.
6
7When it triggers, send a one-line summary plus the source link to [connected tool].
8Run it all inside the Supercomputer, nothing for me to host or deploy.
9Confirm the setup back to me, run one test check now so I can see it work, then keep it running in the background.

13. An agent that updates something daily on its own

Give it an ongoing job and it maintains it for you, a tracker, a report, a database, refreshed every day without a reminder from you.

1Set up a Scheduled Task that updates [my tracker / report / doc] every day on its own, not a one-time edit here.
2
3Each run, pull the latest [data or source] and add it in the same format as the existing entries.
4Put a short note of what changed since the last run at the top.
5Never overwrite anything I've marked as final.
6
7Run it daily inside the Supercomputer, nothing for me to host or deploy.
8Confirm the schedule, run it once now as a test, show me the result, then keep it running daily.

Operations and personal

14. Inbox and doc triage across your connected tools

Let it read across the tools you've connected, sort what matters, and hand you a short list instead of a full inbox. The sifting is done before you look.

1Go through my [inbox / connected docs] and triage everything for me.
2
3Connect to the tool, read across all of it, and sort by what actually needs me.
4Give me three lists: reply now, read later, and safe to ignore, each item with a one-line reason.
5For every "reply now" item, draft a reply in my voice that I can send or edit.
6
7Do not send anything on your own.
8If this would be useful every morning, ask me, and set it up as a recurring scheduled task.

15. A personal assistant that remembers your style

Because it holds memory, it can act as an assistant that already knows how you write, what you like, and what you're working on. "Make another like the last one, but for the new product" just works.

1From now on, act as my ongoing assistant, and remember everything about how I work.
2
3Here is the context to start with: [paste your style, projects, preferences, key people].
4Store all of this in memory so it carries across every future chat, not just this one.
5
6When I ask for something, match how I would do it, using my tone and my past decisions, not a generic version.
7If you're missing context you need, ask me, then remember the answer for next time.
8Confirm what you've saved so I know it stuck.

The advanced stuff, this is where it gets fun

Everything above is single tasks. The real leverage shows up when you stop asking for one output and start building systems that run on their own.

16. Build your own AI agent

Here's the one thing that makes or breaks this. If you just write "act as my agent," it does the task once, like any chat. The move is to set it up as a standing agent on Scheduled Tasks, with a cadence and its own memory, so it keeps running on its own inside the Supercomputer. That's the difference between a reply and an agent.

(If you genuinely need it on your own infrastructure, that's what the CLI is for, but most people never need to leave the platform.)

1Set this up as a standing, autonomous agent on Scheduled Tasks, not a task you answer once here in the chat.
2
3The role: act as my [content / research / ops] agent.
4What it does:
5Watch [topic or source].
6Whenever something worth acting on appears, [draft a post in my voice / pull the key info / flag it].
7Save each result to [file or connected tool] as a review list for me.
8Match my style, here are 2-3 examples: [paste].
9
10Run it as a scheduled agent inside the Supercomputer, with its own memory, so it keeps working on its own without me prompting it each time. I don't want to host anything myself.
11Set the cadence to [every X hours / every morning], and keep memory between runs so it never repeats itself.
12Before you launch it, ask me anything you need, confirm in plain words how it will run, and show me one sample output.
13Once I approve, activate it and keep it running until I stop it.
14Only ping me when something needs my decision.

17. Put it in a loop

An agent that runs once is a tool. An agent that runs on a schedule is an employee. You give it a goal and a cadence and let it repeat: plan, do, repeat, without you in the middle.

You build the loop one time. After that it runs while you sleep, and you wake up to finished work instead of a to-do list. That's the whole difference between using AI and having AI work for you.

1Take that agent and turn it into a loop that runs on a schedule, as a recurring Scheduled Task, not something I trigger by hand.
2
3Run it automatically every [morning / X hours], even when I'm offline.
4Each run: pull anything new since the last run, do the job, then post the results to [file or connected tool].
5Keep memory between runs so it builds on what it did before and never repeats itself.
6
7Keep it all running inside the Supercomputer, nothing for me to host or deploy.
8Confirm the cadence back to me, run one full cycle now as a test, then leave it running on its own.

18. Graph engineering, agents that check each other

The most powerful setup there is. Instead of one agent doing everything, one plans the work, others do it in parallel, and a separate one verifies it. A model grading its own homework goes easy on itself. A second agent doesn't.

1Run this as a multi-agent workflow, not a single agent doing everything.
2
3The task: [describe the full job].
4Structure it like this:
51. One lead agent plans the work and splits it into parts.
62. Spin up parallel agents, one per part, to do the work at the same time.
73. A separate verifier agent checks every output against this standard: [your rubric or quality bar].
8
9Only return work that passes verification.
10If something fails, send it back to be redone, and keep looping until the whole task meets the standard.
11At the end, show me the final result, plus a short note on what each stage did.

The point

None of this is the ceiling. What you just read is a starting set. The actual range is far wider, and it keeps growing.

Here's the part most people miss. TheHiggsfield Supercomputerisn't a single AI model. It's an assembly of the best and newest models, wired to work together. So it doesn't get better once a year when one lab ships an update. It gets better every time any of them do. The faster the models improve, the sharper the whole thing gets, on its own.

And the split that makes all of this work is simple. You keep the judgment: what's good, what ships, what the thing should be. The machine takes the volume: the drafts, the retries, the hundred small steps in between. You stop doing the work and start deciding it.

Which means the real limit isn't the tool. It's your imagination. However far you can describe what you want, that's how far it will go.

So stop typing questions into one box. Pick one thing from this list, open the chat, and hand it something you'd never have the time to do yourself. That's the whole shift.

Thanks Higgsfield for sponsoring this article.