---
title: "OrchestraML: From English prompt to deployed ML model with human approval"
url: https://daily.dev/posts/orchestraml-from-english-prompt-to-deployed-ml-model-with-human-approval-1rr4pmnn6
source_url: https://www.producthunt.com/products/orchestraml
type: article
source: "Product Hunt"
published: 2026-06-09T07:12:51.192Z
updated: 2026-06-09T07:13:08.932Z
tags: ["machine-learning", "ai-agents", "rest-api", "mlops", "automl"]
reading_time: 1
upvotes: 1
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# OrchestraML: From English prompt to deployed ML model with human approval

**[Product Hunt](https://daily.dev/sources/ph)** · 1 min read · 1 upvotes · 0 comments

## Summary

OrchestraML is a product that converts plain English prompts into production-ready ML models using eight specialized agents. It handles dataset management, data cleaning, feature engineering, and model training via FLAML AutoML. Six checkpoint gates require manual human approval before proceeding. Output options include a downloadable package (pkl file + predict.py script) or a live REST API. Encrypted dataset handling is included, with two free pipelines available daily.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.producthunt.com/products/orchestraml>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#ai-agents](https://daily.dev/tags/ai-agents), [#rest-api](https://daily.dev/tags/rest-api), [#mlops](https://daily.dev/tags/mlops), [#automl](https://daily.dev/tags/automl)

[View this post on daily.dev](https://daily.dev/posts/orchestraml-from-english-prompt-to-deployed-ml-model-with-human-approval-1rr4pmnn6)