AI guidelines

Pattern 1: User-Initiated AI with Custom Input

1. User needs to activate the AI function.
2. User needs to tell it what to do.
• Text input
• Selection from template options
3. User receives the result.
• Works with it further
• Versions
4. User uses the result.

 

Pattern 2: User-Initiated AI with Automatic Output

1. User needs to activate the AI function.
2. User receives the result.
• Works with it further
• Versions
3. User uses the result.

 

Pattern 3: AI offers recommendations over content

1. AI offers recommendations over content.
2. User uses the result.

 

Pattern 4: Continuous AI Assistance

1. User needs to activate the AI function.
2. User works with the content and AI continuously provides recommendations or suggestions.
• Dynamic content analysis
• Contextually relevant advice
3. User can choose to use the recommendation or ignore it.
4. The process continues iteratively.

 

Pattern 5: AI-driven Automation

1. User needs to activate the AI function.
2. User defines parameters and rules for automation.
• Text input
• Parameter configuration
3. AI automatically performs actions according to the set rules.
• Notification of task completion
4. User reviews and possibly adjusts the result.
5. User uses the result.

 

Pattern 6: Predictive AI Insights

1. User needs to activate the AI function.
2. User provides relevant data or parameters.
• Data file upload
• Text input
3. AI performs predictive analysis.
• Trend analysis
• Predictive models
4. User receives predictive insights and recommendations.
5. User uses the insights for informed decision-making.

 

Pattern 7: Conversational AI Interface

1. User interacts with AI through a conversational interface.
• Chatbot
• Voice assistant
2. User asks questions or gives tasks.
3. AI provides answers or performs actions.
4. User uses the information or result.

 

Pattern 8: AI-Enhanced Search and Retrieval

1. User activates AI search.
2. User specifies criteria or keywords.
3. AI searches and analyzes the database/content.
4. User receives relevant results with contextual recommendations.
5. User uses the results for further work.