Speech Support Workflow
This speech assistance workflow is designed to instantly receive users' speech draft manuscripts via Telegram, utilizing advanced AI technology for speech-to-text conversion and content analysis. It provides feedback suggestions and generates speech drafts. The system supports multiple rounds of interaction and dynamically adjusts prompts to meet the needs of different stages. The workflow also automatically manages memory to ensure precise feedback, achieving formatted text output. It addresses issues such as the lack of professional feedback in speech preparation, difficulties in voice conversion, and poor content delivery, ultimately enhancing the quality and efficiency of users' speeches.
Workflow Name
Speech Support Workflow
Key Features and Highlights
This workflow enables users to instantly submit draft speech texts or voice recordings via Telegram. Leveraging advanced AI models (Google Gemini and OpenAI), it performs speech-to-text conversion, content analysis, feedback generation, and speech draft creation. It supports multi-turn interactions with dynamic system prompt adjustments tailored to different stages of speech preparation. Automatic memory cleanup prevents context interference, ensuring precise feedback. The output text is formatted and segmented to comply with Telegram’s message length limits, providing a smooth conversational experience.
Core Problems Addressed
- Lack of professional feedback and guidance during speech preparation
- Difficulty converting spoken content into editable text
- Challenges in self-managing and optimizing speech structure, content, and delivery
- Issues with transmitting lengthy speech drafts smoothly via instant messaging platforms
Application Scenarios
- Speech preparation and enhancement for public speakers, trainers, educators, and students
- Professionals requiring rapid iteration and revision of speech drafts
- Content creators seeking AI-assisted optimization of expression and content structure
- Speech draft collaboration in remote environments using Telegram communication
Main Process Steps
- Message Reception: Receive user-submitted text or voice messages via Telegram trigger node
- Message Preprocessing: Identify message type; if voice, download and transcribe using OpenAI’s speech-to-text service
- Content Analysis and Routing: Route text to appropriate system prompts based on content (e.g., new speech start, speech draft generation, speech feedback)
- AI Interaction Processing: Utilize Google Gemini model and LangChain AI Agent for feedback, speech draft generation, or preparatory assistance
- Memory Management: Store and clear session memory to maintain context coherence and avoid information interference
- Output Processing: Remove characters that may disrupt Telegram formatting and split long texts into multiple message chunks
- User Reply: Send segmented, processed text back to users via Telegram messages to enable continuous interaction
Involved Systems and Services
- Telegram (message sending/receiving and file downloading)
- OpenAI (speech-to-text transcription)
- Google Gemini (PaLM API for natural language generation)
- n8n built-in nodes (workflow control, conditional logic, code execution, memory management)
- LangChain AI Agent (multimodal and context management)
Target Users and Value Proposition
- Individuals and teams needing assistance with speech drafting, revision, and rehearsal
- Speakers aiming to enhance speech quality and delivery through AI support
- Users collaborating remotely via Telegram who require instant feedback
- Professionals and content creators pursuing an efficient, multi-turn, intelligent speech preparation process
This workflow intelligently and systematically streamlines the complex speech preparation process by integrating speech recognition with cutting-edge AI language models. It creates a user-friendly “AI Speech Coach” that helps users effortlessly organize ideas, optimize content, and improve delivery, significantly boosting speech quality and efficiency.