RubixCube.ai

Human-Centric AI
for Knowledge Workers

Stop losing your best work in your chat history; RubixCube captures your AI collaborations as reproducible, shareable notebooks

Chat interfaces give you outputs.
You need recipes.

Working with a chat AI like ChatGPT is like cooking without a recipe: you iterate until something works, but you can't reproduce it. After dozens of back-and-forth messages, you have a result but no system to recreate it. When requirements change, you start from scratch.

RubixCube treats AI work like baking: you develop a precise recipe that produces consistent results every time.

Using AI Chat Tools

  • • Scattered chat histories
  • • Undocumented prompts
  • • Individual trial-and-error
  • • Knowledge leaves when employees leave

Using RubixCube

  • ✓ Documented, tested AI workflows
  • ✓ Reusable notebooks anyone can run
  • ✓ Institutional knowledge that persists
  • ✓ Compounding expertise over time

Turn AI improvisations into reliable systems

Give your team the tools to inspect, control, and share their AI workflows.

Visible Context Windows
See exactly what you're sending to the model. No hidden context, no guessing.

Reproducible AI Recipes
Build once, run forever. Export your notebooks and share the exact system that worked.

Modular Context Blocks
Organize reference material, rules, and examples as toggleable, reorderable blocks.

Pre-Production Agent Testing
Test and refine agent behavior before encoding it into production code or formal evals.

Inspect Every Request
Understand what went into each response. View the exact prompt payload for any cell.

Run Modes for Any Workflow
Sequential chains with history for workflows, or parallel runs for fast independent testing.

Frequently Asked Questions

Everything you need to know about RubixCube and how the Agent Notebook transforms agent development

ChatGPT Enterprise gives your team access to AI. RubixCube captures what they learn and makes it reusable. They're complementary. Think of ChatGPT as your calculator, and RubixCube as your Excel. ChatGPT is good for conversations and quick answers, RubixCube is good for building systems you can use over and over.
You could share a recipe by writing it on a piece of paper, or you could create a pre-made baking mix that someone can just use. Prompts are the recipe. RubixCube notebooks are the baking mix: pre-configured, tested, ready to run. Plus, notebooks include the context, the validation, and the test cases. A prompt library is just the prompts - it doesn't capture the expertise and it requires the user to figure out how to use them.
That's exactly why you need RubixCube. Right now, 80% of your team struggles because they're starting from zero each time. RubixCube lets the 20% who 'get it' package their expertise for the 80% who don't. It's like saying 'most people can't build financial models, so why use Excel?' - Excel made it possible for your financial expert to build a financial model and share it, so that anyone on the finance team can tweak the parameters and run the model without having to know how to create it from scratch.
Custom tools are perfect for your core business processes. RubixCube is for the long tail - the hundreds of tasks where custom development doesn't make sense. You can't build a custom tool for every mundane task that your teams have to do repeatedly, but you can create a RubixCube notebook in 20 minutes and make the task easy run forever.
Those are engineering tools for building AI applications. RubixCube is for business users to capture their domain expertise into re-usable re-runnable notebooks.

AI shouldn't be a black box

Create auditable, re-runnable AI systems with RubixCube.