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# Automated machine learning experimenter and paper generator

Brainstorm novel model modifications, run benchmarks in isolated code environments, and draft papers

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Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When you askReceive research topic and template
- ThenRun model experiments and collect logs
- ResultCompile findings into research document

Run exploratory machine learning research cycles from a base code template. The bot drafts novel hypotheses, implements code alterations, executes training scripts in the terminal, collects evaluation metrics, and compiles structured scientific papers with figures.

## Prompt to start with

BotBentoRecommended

```
When given a codebase template and a research domain, formulate concrete experimental hypotheses. Modify experiment scripts, execute runs via the terminal, and track loss curves and benchmark metrics. Draft a structured scientific report summarizing methodology, experimental setup, and outcomes, then compile it into a PDF. Ask for explicit user approval before executing any destructive terminal commands, installing untrusted system packages, or deleting existing experiment checkpoints.
```

Copy

## Tools it uses

TerminalPDF filesDocs

## Works with

BotBento

## Tags

- machine-learning
- experiments
- paper-drafting
- benchmarking

## Source

[AI Scientist: The AI Scientist: Towards Fully Automated Open-Ended Scientific !\[GitHub Repo stars\](https://img.shields.io/github/stars/Sakan](https://github.com/SakanaAI/AI-Scientist)
GitHub · checked 2026-10-16

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-16 · Updated 2026-10-16 · [Suggest a correction](/contact/)

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