Korgi

The value of Korgi lies in connecting work information scattered across different applications and organizing it into actionable project boards with AI assistance.

Core Functions and Usage Scenarios

Key Competencies

• Connect apps like Google Workspace, Microsoft 365, Zoom, and chat.
• Generate project boards and task views with AI.
• Organize disparate data into a unified workspace.
• Suitable for remote collaboration and personal productivity management.

Suitable for users

Suitable for project managers, remote teams, freelancers, startup teams, and users who need to manage work across applications. Organizations with highly sensitive work materials need to do permission review first.

Use boundaries

Cross-app connectivity involves calendars, documents, meetings, and chat data. Authorization scopes, sync errors, and permission inheritance all require careful setup.

Selection and landing suggestions

When evaluating Korgi, you can start by connecting a small number of low-risk applications and testing whether the resulting project board accurately reflects tasks, deadlines, and owners.

In a team or public release scenario, acceptance criteria should also be agreed upon in advance, such as which results can go directly to the next step, which must be reviewed by the person in charge, which assets cannot be uploaded, and how long the generated records need to be retained. This check helps teams put AI tools into traceable processes, reducing rework due to inconsistent result provenance, authorization, or quality judgments.

If the tool handles customer data, personal information, commercial materials, financial data, medical-legal content, or personas, privacy, copyright, portrait licensing, and platform rules need to be included in the pre-use checklist. When publishing to the public, it is recommended to keep manual modification records and final confirmers to avoid mistaking experimental outputs for reviewed content.

It is safer to start by creating a small sample list that records the input material, generated results, manual modifications, final adopted versions, and reasons for non-adoption. After several rounds of comparison, the team can more clearly determine which tasks are suitable for tooling and which still need to be professional-led, and it is easier to track quality issues from inputs, model outputs, or review processes.

FAQs

What work apps can Korgi connect to? **

It targets productivity stacks like Google Workspace, Microsoft 365, Zoom, chat tools, and more.

Can AI generate a project board and execute it directly? **

It is necessary to manually check whether the task is accurate and whether the person in charge is correct.

What should I pay attention to before using it for my team? **

Confirm application authorizations, data permissions, and task responsibility boundaries.