chore: Create README for Generative Computing Org

profile/README.md

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+<img src="https://github.com/generative-computing/mellea/raw/main/docs/mellea_draft_logo_300.png" alt="Mellea logo" height=100>
+
+# Mellea — build predictable AI without guesswork
+
+Inside every AI-powered pipeline, the unreliable part is the same: the LLM call itself.
+Silent failures, untestable outputs, no guarantees.
+Mellea is a Python library for writing *generative programs* — replacing brittle prompts and flaky agents
+with structured, testable AI workflows built around type-annotated outputs, verifiable requirements, and automatic retries.
+
+Skip to:
+* [Code](#latest-projects)
+* [Tools](#tools)
+* [Documentation](https://docs.mellea.ai/)
+
+## Latest Projects
+* <a href="https://github.com/generative-computing/mellea">Mellea</a>
+* <a href="https://github.com/generative-computing/granite-switch">Granite Switch</a>
+* <a href="https://github.com/generative-computing/mellea-skills-compiler">Mellea Skills Compiler</a>
+* <a href="https://github.com/generative-computing/mellea-contribs">mellea-contribs</a>
+
+## Tools
+
+1. [Installation](https://docs.mellea.ai/getting-started/installation)
+2. [Quick Start](https://docs.mellea.ai/getting-started/quickstart)
+3. [API Reference](https://docs.mellea.ai/api-reference)
+
+## Documentation
+
+The general Mellea [Documentation](https://docs.mellea.ai/) is updated regularly.
+
+**Learning Resources** provide in-depth educational material in comprehensive formats.
+
+- [Mellea Examples](https://github.com/generative-computing/mellea/tree/main/docs/examples) - comprehensive examples demonstrating Mellea's features and capabilities.
+[Mellea Demos](https://github.com/generative-computing/mellea-demos) - A collection of Mellea demos.
+- [Mellea Tutorials](https://github.com/generative-computing/mellea-tutorials) - Long-form workshops and tutorials for Mellea. The main Mellea repo keeps its examples short and focused; the notebooks here have more room to walk through end-to-end workflows, conference material, and exploratory demos.
+
+## Other Resources
+- [Mellea Website:](https://mellea.ai/) More information about Mellea.
+- [Blog:](https://mellea.ai/blogs/) Deep-dives on agentic systems, generative computing, and the ideas behind Mellea.
+- [Mellea on PyPI:](https://pypi.org/project/mellea/) The Mellea organization on PyPI. You can download Mellea there.
+
+
+## Discussion
+
+If you have any questions, please visit our [discussions page](https://github.com/generative-computing/mellea/discussions).