ai-builder-prompt-skill

To publish AI Builder prompts as Copilot Studio tools, configure the GPT Dynamic Prompt inputs, outputs, and model parameters, then attach the prompt as a botcomponent to a Copilot Studio agent. This Dataverse-backed workflow ensures repeatable deployments.

A GPT Dynamic Prompt in AI Builder is a flexible, model-driven configuration stored in Dataverse. It allows you to define prompt text, inputs, outputs, and model parameters like temperature to automate tasks without retraining underlying models.

Yes, Dataverse is required to deploy these AI Builder prompts. The skill constructs prompts as Dataverse-driven configurations, enforcing solution-scoped components, template IDs, and model types to ensure repeatable and standardized deployments.

Configuring an AI Builder prompt requires a template ID, model type, temperature, and solution-scoped components. You must also define training and run configurations alongside the prompt inputs and outputs before attaching it as a botcomponent.

Yes, you can use AI Builder prompts for custom data analysis and document processing without retraining models. GPT Dynamic Prompts adapt to changing requirements through prompt text and model parameter adjustments during the design phase.