Every major model, and a second opinion.
blackocloud is one workspace for models from OpenAI, Anthropic and Google, with your projects, files and context in one place. When an answer matters, hand it to a different model — to improve it, find what's wrong with it, or answer the question again from scratch.
Join the waitlist
Email is the only thing we need — no password, nothing to install.
It's common, and convenient — the token survives a refresh and is easy to attach to requests. For most applications it's an acceptable trade-off.
This understates the risk. Anything in localStorage is readable by any JavaScript on the page, so a single XSS gives an attacker the token.
An httpOnly, SameSite cookie is unreachable from script and is the safer default. The first answer's "acceptable trade-off" needs that caveat attached.
An illustration of the four cross-model actions. Real model names appear in the product; roles are shown here for clarity.
Three tabs, and you're the integration layer.
If you use more than one AI model, you already know the routine. Ask the first one. Get an answer that's roughly right. Copy the question, copy the answer, open a second tab, re-explain the constraints that were sitting in the first thread, re-upload the file, and ask what's wrong with it.
That's four minutes of clerical work per question. The worse part is what it does to the answer: the second model works from a summary you made by hand, so it knows less than the first one did.
Switching apps doesn't lose the model. It loses the context.
Four things to do with an answer you already have.
Each runs in the same thread, on the answer in front of you, with the project's files and context already attached. Nothing is copied or pasted.
Improve this answer
Another model rewrites it, keeping what is right.
Find what is wrong
Another model reviews it for mistakes and weak assumptions.
Answer it independently
Another model answers without seeing the first answer — so you get a genuinely separate attempt, not an edit of one.
Ask several models
Several answers at once, summarised into where they agree and where they don't.
More than a model switcher.
The cross-model actions only work because everything else stays in one place. Grouped by what you're actually doing rather than by feature name.
Keeping work together
Projects hold the thing you're working on, not a scattering of one-off chats.
- Files stay attached to the project
- Working context carries across models
- Conversations grouped where they belong
Choosing a model
Models from OpenAI, Anthropic and Google, picked per task rather than per subscription.
- Switch model inside a conversation
- Files and context come with you
- The four cross-model actions on any answer
Knowing what happened
Every answer carries a line saying who produced it and what it read to get there.
- Which model answered
- What it actually read
- Which answer a critique was of
Memory, under your control
Scoped memory and preferences you can inspect and change, rather than a black box.
- See what has been kept
- Change or remove it
- Scoped rather than global
Speaking and listening
For the times typing isn't the fastest way in or out.
- Dictation for asking
- Read Aloud for answers
One account
A free tier and paid tiers, including one for students, instead of several subscriptions.
- One bill
- One place your work lives
Where a second model earns its place.
Studying
Have one model explain a topic, then ask another what the explanation glossed over. The gaps are usually the part you didn't understand yet.
Coding
Get an implementation, then ask a different model to review it for mistakes and weak assumptions before you run it.
Research
Ask two models independently, without the second seeing the first. Where they agree you can move on; where they conflict you know what to verify.
Writing
Draft with one, then have another rewrite it keeping what works — without moving the draft between services.
Day-to-day knowledge work
Keep the project, its files and its history in one place while choosing whichever model suits the task in front of you.
Anything you'd hate to get wrong
A single model will never tell you it's confidently wrong, because it doesn't know. A second one, reading the first's answer, often will.
The disagreement is the useful part.
The point of having several strong models isn't to crown one. They're genuinely better at different things, and which one leads changes every few months.
What doesn't change is more useful: when two good models independently reach the same answer, that's a real signal. When they conflict, you've found the exact part worth checking yourself — and you'd never have seen it from one of them alone.
Getting to that signal today costs you several minutes of copy-paste per question, which is why almost nobody does it. That's the whole thing we're building around.
Not open to the public yet.
We're letting people in gradually. Leave your email and you'll be in an early group — and if you tell us what you'd use it for, that genuinely shapes what gets built first.
Reasonable things to ask.
What is blackocloud?
One workspace for working across several leading AI models, instead of moving between separate AI apps. Your projects, files and working context stay in one place, and you can hand any answer to a different model to improve it, critique it, or answer the question independently.
How is this different from just opening ChatGPT, Claude and Gemini in three tabs?
Three tabs give you three models. They don't give you the thing that matters: the second model can't see the first model's answer, your files, or the conversation so far, unless you copy all of it across by hand.
In one thread, "ask a different model what's wrong with this" is a click rather than four minutes of re-explaining — which is the difference between a verification step you actually use and one you skip.
Which models can I use?
Models from OpenAI, Anthropic and Google. Which specific models are available depends on the plan.
Can I use it today?
No. blackocloud isn't open to the public yet, and this page is a waitlist rather than a signup. We're not announcing a launch date, because we'd rather not give you one we might miss.
What happens after I join the waitlist?
Your email goes to a private form dashboard that only we can see. You'll get one message when early access opens, and nothing before it — no drip sequence, no newsletter.
Will there be a free option?
Yes. There's a free tier, and paid tiers above it including one priced for students. Exact details will be on the pricing page at launch.
Who is it for?
People who already use more than one AI model, or who'd like to but find the switching costs too high — students, developers, researchers, writers, and anyone doing work where a confidently wrong answer would be expensive.
What do you do with my email?
Store it so we can tell you when early access opens. It isn't sold, shared or added to any list. There are no third-party trackers or analytics scripts on this page — the only thing it loads is a font, from this domain.