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Contextform_RhinoPlugin v1.1.0-beta - Intelligence Upgrade (BETA)

01 Aug 10:11

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🧪 Contextform v1.1.0-beta – Intelligence Upgrade (BETA)

📥📥📥Email: contextformai@gmail.com
📥📥📥We would like to work with you!

⚠️ BETA SOFTWARE WARNING
This is a development release with active bug fixes in progress. Use for testing and feedback only. Expect some issues and frequent updates.

📥 Download Beta
The Contextform v1.1.0-beta release is now available for download. To install, download the appropriate file for your Rhino setup. If you're using Rhino 8, grab the .yak package and install it via the PackageManager. After restarting Rhino, you can access Contextform from the Panels menu. If you prefer manual installation, the .rhp plugin is also available.

🧪 .yak Package

🔧 .rhp Plugin

🚀 What’s New: Major Intelligence Upgrade
This beta introduces a major intelligence upgrade — moving beyond simple command tracking to a deeper understanding of modeling workflows. The system now captures design memory by interpreting your modeling actions, relationships, and transformations with contextual awareness.

✨ New Features
The plugin now supports 50+ Rhino commands (up from 25). These include primitive modeling tools like Box, Sphere, Cylinder, and Torus; curve creation tools like Line, Arc, and Polygon; surface modeling functions such as Loft, Sweep1, and NetworkSrf; as well as transformation operations like Move, Copy, Rotate, Mirror, and Array. It also includes boolean operations, editing tools (Fillet, Chamfer, Trim), and analysis functions for measuring distance, volume, curvature, and more.

Alongside command expansion, Contextform now captures semantic intelligence — tracking design intent, creation methods, dimensions, and dependencies between modeling steps. It understands the full workflow, from initial geometry creation to transformation and finishing stages, including precise movement vectors, rotation angles, and scale factors.

🧠 Enhanced AI Prompts
With improved AI generation capabilities, the plugin now supports more expressive and design-oriented prompts. For example, you can say:

"Keep the array pattern but make the base geometry organic"

"Scale 150% while preserving all proportional relationships"

"Optimize for 3D printing while maintaining design intent"

These prompts interpret your model context and apply changes intelligently.

🧪 Beta Testing Guidelines
To help shape this release, test the plugin in real modeling workflows. Try using the full range of supported commands, experiment with creative and functional AI prompts, and push the system with complex operations like Boolean logic, arrays, and NURBS surface modeling.

Expect early bugs and UI quirks. Some command sequences might not be captured correctly, and certain AI outputs may fail or be invalid. Very large models may cause performance issues. Feedback loops, error messages, and UI clarity are actively being improved.

🐛 Known Issues (Being Worked On)
Command capture may miss some edge cases

AI generation occasionally produces invalid scripts

UI feedback could be more informative

Performance optimization needed for large workflows

Error handling improvements in progress

🐞 Bug Reporting – We Need Your Help!
Your testing is essential. Please report bugs using GitHub Issues and provide clear, reproducible steps.

How to Report Bugs
🔗 Report Bug

Include:

Steps to reproduce

What commands you used

What prompt you tried

Any error messages

Your Rhino version

What Helps Most
🎯 Specific workflows that fail

🎯 Command sequences that aren’t captured correctly

🎯 AI prompts that produce bad results

🎯 Error messages or crashes

🎯 Performance issues with your models

Feature Requests Welcome
Let us know what you'd like to see next — commands, prompt types, UI enhancements — your input shapes the roadmap.

🔄 Beta Update Cycle
Expect frequent updates throughout the beta period. Minor versions like v1.1.0-beta.1, beta.2, etc. will be released regularly, with rapid bug fixes and feature improvements prioritized based on your reports. All updates will be tracked transparently through GitHub.

🎯 Beta Goals
By the end of this beta cycle, we aim to:

✅ Support stable command capture for all 50+ commands

✅ Deliver reliable AI generation for real-world workflows

✅ Ensure solid performance for typical Rhino models

✅ Provide better error handling and UI feedback

✅ Publish thorough documentation based on community usage

💬 Community & Support
Bug Reports: GitHub Issues

Questions: GitHub Discussions

Rhino Forum: Community thread (coming soon)

🙏 Thank You Beta Testers!
Your participation makes a real difference. Every test, bug report, and suggestion helps make Contextform more powerful, more accurate, and more useful. Ready to shape the future of AI-native CAD? Download the beta and let us know how it fits into your workflow.