# Building Reproducible AI Evaluation Workflows with Docker Sandboxes

DevFeed: [Building Reproducible AI Evaluation Workflows with Docker Sandboxes](<https://devfeed.tech/articles/building-reproducible-ai-evaluation-workflows-with-docker-sandboxes-4587.md>)

Original publisher: [Read original article](<https://www.docker.com/blog/building-reproducible-ai-evaluation-workflows-with-docker-sandboxes/>)

Author: Jennifer Kohl

Published: 2026-09-02T13:00:00Z

Content type: tutorial

Language: en

Sources: [Docker](<https://devfeed.tech/sources/docker.md>)

Topics: [ai observability](<https://devfeed.tech/topics/ai-observability.md>), [Human-AI evaluation](<https://devfeed.tech/topics/human-ai-evaluation.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-ml](<https://devfeed.tech/tags/ai-ml.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [claude](<https://devfeed.tech/tags/claude.md>), [community](<https://devfeed.tech/tags/community.md>), [docker](<https://devfeed.tech/tags/docker.md>), [docker-sandboxes](<https://devfeed.tech/tags/docker-sandboxes.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [genai](<https://devfeed.tech/tags/genai.md>), [json](<https://devfeed.tech/tags/json.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [python](<https://devfeed.tech/tags/python.md>), [sandbox](<https://devfeed.tech/tags/sandbox.md>), [sandboxes](<https://devfeed.tech/tags/sandboxes.md>), [workflow](<https://devfeed.tech/tags/workflow.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

## AI overview

The article presents an open-source Docker Sandboxes Mixin Kit for making AI evaluation workflows reproducible. It runs configured commands in a consistent environment and records structured results and runtime evidence, without executing models or generating evaluation judgments itself.

## Source excerpt

Learn how Docker Sandboxes can make AI evaluation workflows more reproducible with consistent execution, structured artifacts, and runtime evidence.