Conva.AI Features
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Conva.AI is a low-code platform for easily creating, integrating and maintaining AI Assistants for apps using meta-prompts and pre-built capabilities.
View MoreKey Features of Conva.AI
Conva.AI is a low-code platform for creating, integrating, and maintaining AI Assistants for apps. It uses meta-prompts and an LLM-based compiler to generate customized AI Assistants without requiring prompt engineering or data science knowledge. The platform offers easy integration through SDKs, supports multiple languages, and provides features like custom knowledge grounding, conversational overlays, and comprehensive testing tools.
Meta-Prompt Based Assistant Creation: Create AI Assistants by describing capabilities in natural language, without needing to write complex prompts or code.
Easy Integration: Quickly integrate AI Assistants into apps using platform-specific SDKs and a runtime orchestration layer.
Custom Knowledge Grounding: Ground AI responses with additional knowledge at the capability level, supporting various file formats for improved accuracy.
Multi-lingual Support: Built-in translator to handle non-English inputs, making the Assistant accessible in multiple languages.
Conversational Overlays: Blend AI interactions naturally with app visuals, moving beyond traditional chatbot interfaces.
Use Cases of Conva.AI
E-commerce Product Discovery: Implement an AI Assistant to help users find products through natural language queries in shopping apps.
Customer Support Automation: Create an AI-powered copilot to answer customer queries about app functionality and business-related information.
Voice-Enabled App Navigation: Add voice search capabilities to mobile apps for hands-free navigation and improved accessibility.
Personalized Recommendations: Develop an AI Assistant that provides tailored product or content recommendations based on user interactions.
Pros
Low-code platform accessible to non-technical users
Quick integration process (under 30 minutes)
Comprehensive suite of tools for creation, testing, and management
Flexibility to create both voice and text-based AI interactions
Cons
May require fine-tuning for highly specialized or complex use cases
Dependency on third-party platform for critical app functionality
Potential limitations in customization compared to building from scratch
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