# Flow prompting Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/flow-prompting
> Markdown URL: https://aitinkerers.org/technologies/flow-prompting.md
> Technology record last updated: 2026-03-05T10:02:11Z
> Generated: 2026-10-22T18:42:56Z

Prompt Flow is the MLOps framework for LLMs: a visual, low-code workflow tool that orchestrates, tests, and deploys complex prompt chains with Python and external tools.

Prompt Flow is Microsoft’s structured development tool for LLM-powered applications, moving prompt engineering from manual iteration to enterprise-grade operations. It uses a visual graph to link core components: LLMs (like Azure OpenAI), prompts, and custom Python tools, creating a single executable workflow. This framework streamlines the full lifecycle: prototyping, large-scale evaluation with test datasets, and deployment as a real-time endpoint. Key benefit: It enables version control, A/B testing, and robust monitoring, ensuring high-quality, reproducible AI outputs at scale.

- Official technology site: https://learn.microsoft.com/en-us/azure/machine-learning/prompt-flow/overview-prompt-flow
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Finally, an AI support agent that asks you when it doesn’t know](https://munich.aitinkerers.org/talks/rsvp_Ja8nd4WT_wI)

- Event context: AI Tinkerers Munich - November 21 — 2024-11-21 — Munich
- Public talk page: https://munich.aitinkerers.org/talks/rsvp_Ja8nd4WT_wI

## Related Technologies

- [Fine-tuning](https://aitinkerers.org/technologies/fine-tuning) ([Markdown](https://aitinkerers.org/technologies/fine-tuning.md)) — 20 public demos
- [System prompt](https://aitinkerers.org/technologies/system-prompt) ([Markdown](https://aitinkerers.org/technologies/system-prompt.md)) — 2 public demos
- [User prompt](https://aitinkerers.org/technologies/user-prompt) ([Markdown](https://aitinkerers.org/technologies/user-prompt.md)) — 1 public demo