Comprehensive Research
To
Technical Feasibility
User Experience
Market Adaptability
Growth Potential
.
Establish a strong foundation for the platform's successful implementation, ensuring technical feasibility, market demand alignment, and optimal user experience.
Market Research
Target Users and Needs Analysis
- Identify potential user groups (e.g., SMEs, corporate teams, freelancers).
- Gather insights into users’ core needs for office automation (e.g., efficiency improvement, low cost, zero technical barriers).
- Study user acceptance of full-time human-AI interaction and natural language interfaces.
Competitor Analysis
- Analyze existing no-code platforms (e.g., Zapier, Bubble) and automation tools (e.g., Asana, Notion, Jira).
- Research innovations and differentiation points in multimodal AI and collaboration tools.
Market Trends
- Evaluate the potential growth of AI-driven office solutions over the next 5–10 years.
- Identify specific industry demands (e.g., healthcare, education, e-commerce) for fully automated workflows.
Technical Research
Multimodal AI Architecture
- Research advanced AI models (e.g., GPT-4, Gemini, Claude) for their adaptability and capabilities.
- Analyze how multimodal AI can integrate language, vision, and voice into a cohesive system.
AI Agent Framework Design
- Study how to build an efficient, collaborative AI Agent system.
- Analyze task allocation, communication, and feedback mechanisms for AI Agents.
Automation Workflow Technology
- Investigate technologies for dynamically generating and optimizing workflows across industries.
- Research integration methods for automation tools (e.g., APIs, RPA).
Real-Time Human-AI Interaction
- Explore best practices for voice recognition, natural language understanding (NLU), and natural language generation (NLG).
- Ensure low-latency, high-accuracy interactions.
User Experience (UX) Research
No-Code Interaction Design
- Study how to simplify the process for users to input requirements and design workflows.
- Explore the integration of visual interfaces with AI-driven natural language understanding.
Optimizing Multimodal Experiences
- Test the fluidity of interactions across language, voice, and image modalities.
- Ensure user-friendly interfaces with responsive, intuitive designs.
Feedback and Decision Support
- Research user trust and preferences regarding AI feedback and suggestions during decision-making.
Application Scenarios and Industry Research
Cross-Industry Demand Analysis
- nvestigate automation requirements in industries like e-commerce, healthcare, education, and manufacturing.
- Study pain points in efficiency, cost, and delivery timelines across these industries.
Personalization Capabilities
- Research how to support customized requirements for different scenarios, ensuring the platform is flexible and adaptable to diverse business logic.
Business Model Research
Revenue Models
- Analyze the feasibility of SaaS subscriptions, pay-as-you-go, and freemium services.
- Explore the integration of API services as part of a developer ecosystem.
Pricing Strategies
- Determine pricing mechanisms for various user groups (individuals, small businesses, enterprises).
- Research tiered services (basic, premium, enterprise editions).
Partnerships and Ecosystem Building
- Identify potential partners (e.g., cloud service providers, AI technology providers).
- Explore strategies to build a third-party developer ecosystem for plugins and tool extensions.
Future Development Research
AGI (Artificial General Intelligence) Impact on the Platform
- Study how AGI could enhance platform capabilities and enable fully autonomous management.
- Explore long-term value in AGI-powered self-learning, demand prediction, and workflow optimization.
Cross-Industry Scalability
- Analyze how the platform can extend from office scenarios to production, service, and other sectors.
Technology Evolution Roadmap
- Develop a plan for the platform’s evolution from initial AI automation to fully AGI-managed systems.
