Every source gets a closer look
Process entries individually so useful details survive the summary.
By 0designOne prompt. In your own project.
The workflow
2 stepsWorkflow overview
100%
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
2 stepsWorkflow overview
100%
Local configuration
OPENROUTER_API_KEYQLOOP_SOURCE_URLQLOOP_WEBHOOK_URLOPENROUTER_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