Loop template

Every source gets a closer look

Process entries individually so useful details survive the summary.

By 0design

One prompt. In your own project.

The workflow

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From the loop’s versioned definition. Select a step to inspect it.

What you get

Process entries individually so useful details survive the summary.

Use the template as a starting point. Your agent adapts it to your sources and checks the result in your project.

Before you start

Choose the source material, task and output destination you want to use.

You will need access to the services used by this workflow. Configure credentials locally with your agent.

See how you could use it

Illustrative cases to adapt to your own work.

Building blocks

Inside the loop

Workflow and configuration
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Local configuration

  • OPENROUTER_API_KEY
  • QLOOP_SOURCE_URL
  • QLOOP_WEBHOOK_URL
  • OPENROUTER_MODEL

Start this workflow from your local agent.

Version, source and run evidence

Version 1.1.0 · MIT

Historical record · not reverified. Release acceptance: pending.

Explorative modeling: Train on the best of K guesses is a blog post that would be of interest to data scientists and machine learning practitioners who are interested in exploring novel model training approaches.
Download manifest

Engine: qloops 0.2.0-core.13