> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/datadesigner/_mcp/server.

# Dev Notes

## Docs

- [Dev Notes](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/overview.md): In-depth guides, tutorials, and insights about synthetic data generation with NeMo Data Designer.
- [Pause, Inspect, Resume: Workflow Chaining as a Control Surface](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/pause-inspect-resume.md): 
- [Image Generation for Multimodal Data Pipelines](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/image-generation-for-multimodal-data-pipelines.md): From document VQA to autonomous-vehicle scenes, X-rays, drone frames, and funny pet edits — controlled image datasets you can inspect row by row.
- [Designing Nemotron-Personas: Multi-Locale Synthetic Personas Powering Nemotron Training](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/designing-nemotron-personas.md): How the Nemotron-Personas HF collection is built with NeMo Data Designer, how it shows up across Nemotron post-training, and how to reproduce or customize the pipeline for your own use case.
- [Mitigating Prompt Sensitivity: Manufacturing Robustness Through Diverse Preambles](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/prompt-sensitivity.md): 
- [Retriever SDG Plugin: Turn Your Documents Into Retriever Training Data](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/retriever-sdg-toolkit.md): A first-party Data Designer plugin package that turns documents into retriever training and BEIR evaluation data.
- [Have It Your Way: Customizing Data Designer with Plugins](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/have-it-your-way.md): A plugin framework for the custom pieces every real project ends up needing.
- [Training a VLM to Understand Long Documents: An Iterative SDG Story](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/vlm-long-document-understanding.md): 
- [Push Datasets to Hugging Face Hub](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/push-datasets-to-hugging-face-hub.md): 
- [Engineering an Enterprise-Grade Text-to-SQL Dataset with NeMo Data Designer](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/text-to-sql-for-nemotron-super.md): 
- [Async All the Way Down](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/async-all-the-way-down.md): 
- [Owning the Model Stack: Adaptive Concurrency FTW!](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/owning-the-model-stack.md): 
- [Data Designer Got Skills](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/data-designer-got-skills.md): 
- [Search Agent SFT Data: Teaching LLMs to Browse the Web](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/search-agent.md): 
- [Structured Outputs for Nemotron: Teaching Models to Produce Valid JSON, YAML, and XML](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/structured-outputs-from-nemotron.md): 
- [Deep Research Trajectories with NeMo Data Designer and MCP Tool Use](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/deep-research-trajectories.md): 
- [Designing Data Designer: Why SDG Is a Systems Problem](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/design-principles.md): 
- [Graduate-Level Science Reasoning Data with NeMo Data Designer](https://docs.nvidia.com/nemo/datadesigner/v0.9.0/dev-notes/rqa-dataset.md):