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Overview
At the functional level of our GenAi content, we approach the ability to generate prompts that will create responses that can provide low-level step-by-step instructions on common functions for a specific feature. For example, a functional prompt might ask for instructions on how to create an Actionable Insights Watcher for an expressed purpose.
Impact on GenAI
The impact of software product functional categories on GenAI can be inferred that these categories play a crucial role in shaping the capabilities and contextual understanding of generative AI systems.
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Tasks, specific activities, processes, or operations that a feature is designed to perform. These can include data processing, user interactions, automated functions, and other designated activities aimed at achieving specific objectives.
Extension, ability to extend or customize a feature’s abilities through customer add-ons, plugins, or modular Groovy components. These extensions allow users to enhance the functionality of the core software.
Best Practices, encompass established guidelines, methodologies, and approaches that are considered optimal for achieving efficient, reliable, and high-quality development, deployment, and usage.
Integration, ability of a feature to connect and interact with other Pricefx capabilities, other external systems, applications, or data sources. This includes seamless data exchange and overall interoperability.
Configuration, involves the settings, parameters, and customization options that allow users to tailor the software to their specific needs and preferences.
Security, encompasses the features and measures implemented to protect the software, its data, and its users from unauthorized access, data breaches, cyber threats, and vulnerabilities.
GenAI Prompt Examples
Below are some examples of GenAI prompts that are operating at this level of contextual understanding:
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| Info |
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This functional prompt asks the GenAI chatbot to provide detailed step-by-step instructions (function) on how to create a price list (feature) within Price Setting capability. The response might look like this: Here are the step-by-step instructions for creating a price list in Pricefx: Step 1: Determine the Prerequisites
Step 2: Create a Calculation Logic
Step 3: Select the Products
Step 4: Define the Price List
Step 5: Set Up Output Elements
Step 6: Review and Confirm
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| Tip |
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Functional Prompt: "When is an approval workflow logic called during quote execution" |
| Info |
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This functional prompt asks the GenAI chatbot to identify how the Approval Workflow (feature) within Quoting (capability) is called during quote activity. The response might look like this: To answer your question, the approval workflow logic is called during quote execution when certain conditions are met, such as when a quote is created, updated, or when a specific action is taken on the quote. Here are some specific scenarios where the approval workflow logic might be called during quote execution:
Once the conditions are met, the approval workflow logic will be triggered, and the appropriate approvers will be notified to review and approve the quote. |
| Tip |
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Functional Prompt: "How do i add a new product to a live price grid" |
| Info |
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This functional prompt asks the GenAI chatbot to identify how to perform a specific funciton, in this case an Add operation, against a Live Price Grid (feature) within Price Setting (capability). The response might look like this: To add a new product to a Live Price Grid, follow these steps:
Note that you can also add products to the LPG using the Pricefx API or by importing products from a file. For more information, see the Pricefx documentation. |