Launching today

Astra Scientist

Launching today

Ten measurements to test your scientific explanation

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Ten measurements to test your scientific explanation

3 followers

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A virtual cold-atom lab with a ten-measurement budget. Choose experiments in your browser, inspect noisy synthetic evidence and record a conclusion you can trace to data. Built with Astra; experiment choices are manual or rule-based.

Free

Launch tags:Education•Developer Tools•Science

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Framer AI AgentsDesign and publish professional sites with AI

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OpenAI

GPT-6 Astra Challenge

How did Astra change the scope or ambition of what you built?

Maker

Astra helped expand a small physical model into a complete, inspectable scientific workbench. I defined the cold-atom assumptions and the ten-measurement constraint; Astra assisted implementation, debugging and checks in Codex. Together we built one shared Python physics implementation, interactive browser experiments, read-only replay, and reports that link conclusions to saved observations. This made it practical to include the less polished but scientifically important cases: a wrong numerical fit and an insufficient-evidence conclusion. The ambition became a demo where users can inspect how an explanation was reached, rather than only see a successful result. All measurements are synthetic. Experiment choices are manual or explicitly rule-based, and the deployed lab makes no live model API calls.

Report

23h ago

Maker

📌

A temperature difference is an observation. Explaining it takes another experiment. I built Astra Scientist to make that distinction tangible. You get ten measurements in a virtual cold-atom lab. Should you wait longer, change the compression, or compare atom numbers? Each choice costs one measurement, and every result stays in the record. During the GPT-6 Astra Challenge, Astra helped turn my physical specification into a shared Python model, an interactive workbench, and a replay system that preserves the original observations. I set the scientific assumptions and scope; Astra assisted implementation, debugging and checks in Codex. The public workbench runs the same Python physics in your browser. You can choose settings yourself or follow a clearly labelled rule. No live model API is used, and all observations are synthetic. The saved examples include a wrong numerical fit and an insufficient-evidence conclusion. Those are useful parts of the demonstration: a report should make uncertainty and mistakes inspectable. The 90-second walkthrough is available through Watch the demo on the product page. Try a case or run a new experiment, then tell me which measurement you would choose next—and what would change your mind.

Report

7d ago

OpenAI

GPT-6 Astra Challenge

How did Astra change the scope or ambition of what you built?

Maker

Report

23h ago

Maker

📌

Report

7d ago