Sample Data List
Agentiqs implements functionality by creating and combining "AI Agents," "Knowledge," and "Workflows."
This chapter aims to teach you how to use Agentiqs, and provides the following as samples depending on the use case:
- AI Agent
- Knowledge
- Workflow
- Input Data (Documents such as design specifications)
How to Set Up the Sample Data Environment
Please set up the sample data on each PC using the following steps.
-
Download the complete sample data set.
- Click on "Sample Data Set."
- The account and password are the same as those used when downloading the installer.
Please refer to the email that provided you with the input installer. -
Unzip the downloaded Zip file.
The structure of the unzipped folder is as follows:agentiqsSampleData├ importData (*1)│ ├ export-data_agentiqsSamples.txt│ └ passkey.txt├ Sample Data Name (*2)└ ...*1 Stores data for importing workflow, agent, knowledge base, and tool settings.
*2 Stores the necessary input data for each sample data. -
Store the unzipped folder directly under the C drive.
Sample data must be stored directly under the C drive.If you store it in another folder, you will need to change the path settings.
-
Create an Agentiqs workspace.
Create a workspace to import the sample settings by following the steps in "Create a workspace". -
Import into the Agentiqs workspace.
Use the files in importData to import the settings into the workspace by following the steps in "Import settings".
Once the environment is set up, all the samples introduced below will be available.
For detailed usage instructions, please refer to [Sample Data].
Sample Data
Pro: Features available only in Professional Edition.
Knowledge Utilization
| No | Title | Integration Tool | Overview | Pro | Link |
|---|---|---|---|---|---|
| 1 | Searching Across a Vast Collection of Documents | Searches and summarizes a vast amount of manuals and external specifications, and immediately presents the key points necessary for design with supporting evidence. | ■ |
Formatting and Documentation
| No | Title | Integration Tool | Overview | Pro | Link |
|---|---|---|---|---|---|
| 1 | Automatically Generates Meeting Minutes | Organizes bulleted notes and meeting logs, and creates meeting minutes in a specified format. | ■ |
Multi-process deliverable generation across processes
| No | Title | Integration tool | Overview | Pro | Link |
|---|---|---|---|---|---|
| 1 | Automatically generate test items from design documents | -Office | Analyzes design documents and generates necessary test items. | ■ | |
| 2 | Generate test cases for each design model | -Next Design | Analyzes each design model and generates the necessary test case models while maintaining traceability. | ○ | ■ |
Review and Check Automation
| No | Title | Integration Tool | Overview | Pro | Link |
|---|---|---|---|---|---|
| 1 | Extracting Perspectives from Review Findings | -Office | Analyzes past review findings one by one and creates a self-check perspective list based on the extracted perspectives. | ○ | ■ |
| 2 | Reviewing Design Documents According to Perspectives | -Office | Analyzes the design document according to the review perspectives and extracts findings. | ■ | |
| 3 | Rigidly Reviewing Design Documents by Perspective | -Office | Extracts all findings without omission for each review perspective, by chapter of the design document. | ○ | ■ |
| 4 | Review Next Design models by perspective | -Next Design | Extracts all issues at the design model level for each review perspective. | ○ | ■ |
| 5 | Automatically register review issues to Lightning Review | -Office - Lightning Review | Extracts all issues at the design document chapter level for each review perspective and registers them in Lightning Review. | ○ | ■ |
Notes
- This sample is intended to demonstrate examples of use cases and is not intended for creating deliverables for actual business use.
- The documents used in this sample are fictitious data created for demonstration purposes. They are not related to any actual products.
- The output content and output format depend on the agent's prompt definition and the content of the input document.
- Content not included in the input or implicit assumptions may not be fully reflected.
About the AI Model
- This sample defines prompts based on the following LLM model.
- Please note that if you change to a different LLM model in your environment, the response content and behavior may change.
- GPT-5.2 Thinking