Steward AI is a multimodal AI-powered personal copilot designed to help users think, analyze, and create through natural conversation.
It integrates large language models, speech interaction, knowledge retrieval, trend analysis, and lightweight agent capabilities into a single, extensible system.
At its core, Steward AI is not just a chatbot — it is a personal AI steward that helps manage information, ideas, and decisions.
Elliot is the conversational interface of Steward AI.
It is designed to be:
- Thoughtful, structured, and concise
- Focused on reasoning and usability
- Capable of turning vague ideas into actionable outputs
You interact with Elliot through text or voice, just like talking to a personal assistant who understands context and intent.
Steward AI（个人智能管家） 是一个多模态 AI 项目，旨在通过自然对话， 帮助用户完成 信息理解、趋势分析和创意产出。
与传统聊天机器人不同，Steward AI 更关注 “可用结果”： 它不仅能回答问题，还能基于知识库进行检索、分析外部热点信息， 并将模糊的想法转化为结构化、可执行的产出，例如产品构想或原型描述。
该项目主要用于探索 AI 在真实个人工作流中的应用方式， 而不仅仅是模型能力的展示。
- Text-based conversation
- Speech-to-Text (ASR)
- Text-to-Speech (TTS)
- Multi-turn contextual understanding
- Retrieval-Augmented Generation based on user-provided knowledge
- Support for documents, notes, and structured data
- Grounded and personalized responses
- Analysis of trending online content
- App Store application insights
- Structured summaries highlighting:
- Key themes
- User pain points
- Potential opportunities
- Transform spoken or written ideas into:
- Product requirement summaries
- Feature lists and user flows
- Low-fidelity UI prototype descriptions
- Exportable prototype schemas or code skeletons (experimental)
- Large Language Models (LLM)
- Speech-to-Text (ASR)
- Text-to-Speech (TTS)
- Retrieval-Augmented Generation (RAG)
- Lightweight Agent Logic
- Web-based Frontend
- Backend API for orchestration and data processing
- Build a practical, AI-powered personal copilot
- Explore multimodal AI interaction in real workflows
- Focus on usability, reasoning, and structured output
- Serve as a showcase for AI application and product design
- Multimodal conversational interface
- Basic RAG-based knowledge retrieval
- Trend data ingestion and analysis
- Product idea to prototype generation
- Exportable prototype or code artifacts
This project is experimental and intended for learning, exploration, and demonstration purposes.