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AI gives drafts. Pandora Cube delivers a finished result — without manual cleanup

Not a chat. Not prompts. Every engine runs a task through a prepared process.

Works with LLMs including:

* Model switching is not available on every plan.

ChatGPT
Gemini
Claude
DeepSeek
Grok
OpenRouter
1. CHOOSE AN ENGINEArrow pointing to Plan panel
Arrow pointing to Prompt panel3. GET THE RESULT
Arrow pointing to Review panel2. FILL 3–4 FIELDS
Structured review screen showing a clear work result

Regular AI → a new draft every time
Pandora Cube AI → one run = repeatable result

With Pandora Cube, AI stops “generating” and starts completing tasks step by step

Ready logic instead of an empty chat
Do not write prompts from scratch. Launch a prepared process.

Пустой чат заменяется готовым процессом: выбор сценария, заполнение полей, запуск и получение результата

Repeatable result
The same engine follows the same execution stages every time.

Один запуск движка дает несколько одинаково завершенных результатов

The system controls execution
Pandora tracks the quality of each step and improves the result during the workflow.

Automatic result assembly
The system assembles the result piece by piece.

Finished result
The output is a ready material, not a draft.



AI chats give drafts
Pandora Cube AI completes the task and assembles the result

PLATFORM CAPABILITIES

Ecosystem, marketplace, and ways to use it

Run one prepared scenario, choose engines from a catalog, or connect the platform to your workflow.

01

Single run

Finished result in 1–2 minutes

02

Marketplace

A growing catalog of ready engines.

03

Connect to your workflow

Connect ready scenarios to your existing workflow.

04

Autorun soon

Automatic engine launch, form filling, and result delivery. Tables, bots, publications — without your manual involvement.

05

Work assistants soon

They help move task flow forward and pass results on without manual routine.

06

Connections and connectors soon

Connect services and data so the result lands inside your work process.

07

Engine studio and builder soon

No code and no complexity. Focused on your work, data, and result.

PLATFORM MEANING

Why we created this

Chats do not close tasks

AI generates text, but it does not complete the work. To get a result, a person spends time editing, clarifying, and checking. Every task turns into a dialogue — not a completed process.

Business needs a result, not generation

In real work, the valuable thing is not text — it is the outcome: a ready material, a decision, a conclusion. A chat does not hold the process, repeat the result, or control execution, so the person stays inside the task.

We replaced chat with execution

We removed the dialogue and made engines. Each engine is a prepared process that completes a task step by step. The user does not manage AI. They simply get the result.

In Pandora Cube, the result is assembled from clear parts

30%

less manual result assembly

30%

more repeatable tasks

25%

faster path from request to outcome

15%

quality control and a clear final result

Pricing

Choose a payment format

Use it for free, buy credits, or move to a subscription for regular work.

Free Credits Subscription

No payment

$0

Free

3 generations every day without payment.

  • 3 generations per day
  • ready scenarios from the catalog
  • no subscription required

Top-up

Balance

Credits

Top up your balance and spend credits on additional generations.

  • one-time top-up
  • ready scenarios from the catalog
  • no monthly subscription
  • balance stays available

Monthly

Limit

Subscription

For regular work: monthly access with a clear run limit.

Start $30 / 50 generations per month
Team $100 / 180 generations per month
Business custom limit
  • monthly run limit
  • for regular work
  • terms can be discussed

Free is for first runs. Credits are for topping up your balance. Subscription is for regular work.

Early access

Get early access to the platform

Send a request — we will review your task and suggest the first clear scenario to start with.

01You briefly describe the task and the result you expect.
02We identify which first scenario is worth showing in early access.
03You get a calm next step without extra complexity.

Short form 2 minutes
Not sure if early access fits you? Ask a question