Dave burman msft adaptive cards #104
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…crosoft/mcscatblog into DaveBurman-MSFT-AdaptiveCards
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Pull request overview
This PR introduces a new blog post demonstrating techniques for generating and utilizing Adaptive Cards in Copilot Studio without manually writing JSON. The post showcases progressively advanced approaches, from basic generation to dynamic, context-aware forms with automated response interpretation.
Key Changes:
- New blog post exploring Adaptive Card generation using AI assistance
- Documentation of techniques for dynamic form creation and interpretation
- Examples demonstrating integration with tools and generative orchestration
Reviewed changes
Copilot reviewed 2 out of 23 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
| assets/lib | Updated subproject commit reference |
| _posts/2025-12-18-adaptive-card-generation.md | New blog post on AI-assisted Adaptive Card generation techniques |
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| ```json | ||
| [ | ||
| { | ||
| "scenario":"best suited for long journies by car", |
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Corrected spelling of 'journies' to 'journeys'.
Suggested change
| "scenario":"best suited for long journies by car", | |
| "scenario":"best suited for long journeys by car", |
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| Now I have to make a pretty big disclaimer here; this works well as screenshots, but in reality, depending on how this is consumed, the user experience is less than ideal. In channels where message streaming is supported (like the Test Pane), the original formatted response is partially sent to the user before the topic kicks in to reformat. This could be avoided by implementing a more controlled flow; i.e. if the topic initiated the calls to the tools and didn't rely on the orchestrator quite as much. I'll demonstrate that in the next example. | ||
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| So we've got to a point where Adaptive Card JSON is generated on the fly, and dynamically; fundementally different form content is displayed determined by natural language descriptions of forms I defined in a global variable. That's pretty useful, and certainly beats figuring out where I missed a comma or curly brace in handwritten JSON, but I still feel like there's more to be done. How about trying to understand a user's response to an Adaptive Card on the fly? |
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Corrected spelling of 'fundementally' to 'fundamentally'.
Suggested change
| So we've got to a point where Adaptive Card JSON is generated on the fly, and dynamically; fundementally different form content is displayed determined by natural language descriptions of forms I defined in a global variable. That's pretty useful, and certainly beats figuring out where I missed a comma or curly brace in handwritten JSON, but I still feel like there's more to be done. How about trying to understand a user's response to an Adaptive Card on the fly? | |
| So we've got to a point where Adaptive Card JSON is generated on the fly, and dynamically; fundamentally different form content is displayed determined by natural language descriptions of forms I defined in a global variable. That's pretty useful, and certainly beats figuring out where I missed a comma or curly brace in handwritten JSON, but I still feel like there's more to be done. How about trying to understand a user's response to an Adaptive Card on the fly? |
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