AcademySkillsData and reporting

autostar: Optimization Loop for Measurable Goals

Product, data and operations teams that want to improve a measurable result through repeated trials.

  • Recommendedour rating
  • 39gitHub stars
  • MITlicence
  • 6 months agolast update
git clone https://github.com/chrisvoncsefalvay/autostar.git
README.md

Loading the file...

What it does

autostar turns a goal you can measure into a structured optimization loop. You define what a good result looks like, and an evaluator scores each attempt. The agent runs experiments, learns from every attempt and works toward the best version within the budget you approve.

Use cases

  1. 01Improving a prompt against a fixed scoring rule
  2. 02Comparing variants of a page and keeping the best one
  3. 03Tuning a process with a clear measure of success

Questions about
autostar: Optimization Loop for Measurable Goals.

What is autostar: Optimization Loop for Measurable Goals used for?

Product, data and operations teams that want to improve a measurable result through repeated trials. autostar turns a goal you can measure into a structured optimization loop. You define what a good result looks like, and an evaluator scores each attempt. The agent runs experiments, learns from every attempt and works toward the best version within the budget you approve.

How do I install autostar: Optimization Loop for Measurable Goals?

Run this in your terminal: git clone https://github.com/chrisvoncsefalvay/autostar.git

Is autostar: Optimization Loop for Measurable Goals open source?

Yes. The code is on GitHub (chrisvoncsefalvay/autostar) under the MIT licence.

Is autostar: Optimization Loop for Measurable Goals safe to use?

It passed our automatic scan for credential theft, hidden instructions and risky install commands. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.