Speech Support Workflow

Target Audience

- Public Speakers: Individuals preparing for speeches or presentations looking for structured feedback and improvement.
- Professionals: Business professionals who need to deliver effective presentations or pitches.
- Students: Students who are required to give speeches or presentations in academic settings.
- Trainers and Educators: Those who teach or train others and need to improve their delivery and content.
- Content Creators: Individuals creating content for videos or podcasts who want to refine their message and delivery.

Problem Solved

This workflow addresses the challenges of speech preparation and delivery by providing a systematic approach to:
- Feedback: Offering constructive criticism on clarity, engagement, structure, and content based on user submissions.
- Speech Generation: Assisting in creating new speeches based on previous content and feedback.
- Audio Transcription: Converting spoken messages into text for analysis, ensuring that all forms of communication are captured and utilized effectively.
- Memory Management: Clearing and storing conversation context to enhance the relevance of responses.

Workflow Steps

1. Trigger: The workflow is manually triggered when a user sends a message via Telegram.
2. Message Reception: The workflow receives the message and checks if it is text or audio.
3. Text Processing: If the message is text, it extracts relevant information and routes it for analysis.
4. Audio Handling: If the message is an audio file, it downloads the file, transcribes it to text, and then processes the transcribed text.
5. Routing Logic: The workflow routes the flow based on the content of the message, directing it towards either speech generation, feedback provision, or a new speech initiation.
6. AI Interaction: The AI agent interacts with the Google Gemini model to generate responses based on the user's input and context.
7. Output Formatting: The generated output is cleaned of unwanted characters and split into chunks if it exceeds 4000 characters, suitable for Telegram.
8. Response Delivery: The final response is sent back to the user via Telegram, ensuring clarity and engagement.

Customization Guide

- Modifying Prompts: Users can customize the system prompts in the workflow to fit their specific speech topics or feedback needs.
- Adjusting AI Models: Users may change the AI language model settings to utilize different models or parameters based on their requirements.
- Adding Additional Nodes: Users can integrate additional nodes for further processing or analysis, such as sentiment analysis or audience engagement metrics.
- Changing Output Formats: Users can adjust the output formatting rules to accommodate different messaging platforms or specific audience preferences.
- Memory Management Settings: Users can modify the memory management settings to retain or delete conversation contexts based on their workflow needs.