A second AI opinion.
Without starting over.
Draft with models from OpenAI, Anthropic and Google. Ask another model for a review in the same chat.
Request early access
Leave your email to request an invitation.
Week 1: research. Week 2: build. Week 3: test. Week 4: launch.
Who is doing the research while the other person builds? What happens if testing finds a serious issue in week 3?
Set a smaller first release, name an owner for each step, and leave time to fix what testing finds.
Fictional example showing the idea, not a captured model response or product screen. A second opinion can still be wrong; check important claims against evidence.
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.
Rebuilding that brief is extra work. Leave out a constraint, and the next model is reviewing a different version of the problem. Keeping the task together makes that handoff easier to inspect.
Keep the question. Keep the constraints. Change the perspective.
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. Use the questions it raises to decide what to study or check next.
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. Use agreement and disagreement to plan your checks, not as proof that either answer is right.
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
Ask another model to challenge the assumptions. Treat its criticism as something to investigate, not a guarantee that a mistake has been found.
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.
A useful review names the assumption, explains why it matters, and points to something you can check. Two models agreeing is not verification. They can share the same blind spots. Use their reasoning to guide your own checks.
We're building around the handoff: asking for another perspective without rebuilding the conversation each time. You still decide what to trust and what to do next.
Not open to the public yet.
Selected users already have access. Join the list for an invitation when early access opens; there is no announced date or guaranteed place in a particular group. Tell us your task if you'd like — that part is optional.
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 cross-model action in the conversation. Another opinion helps you inspect the work; it does not replace checking the facts.
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?
Selected users already have access, but public registration is not open. This page requests an invitation, not an app account. There is no announced launch date. You can use our free handoff guide now, with any AI app.
What happens after I join the waitlist?
Your request is stored in our private waitlist dashboard. You'll get one email when early access opens — no drip sequence or newsletter. The confirmation also links to a free handoff guide you can use immediately. Joining does not create an app account or guarantee an invitation date.
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?
We use your email to send the access message you requested. Form data is processed by our hosting provider, Netlify, and is not sold or enrolled in another mailing list. A short source label and page version are saved with the request when available so we can understand which pages lead to requests. There are no third-party analytics scripts or advertising cookies on this page.