Business Idea:
Develop an AI-powered chat assistant that skillfully handles double texting scenarios—whether classic, rapid fire, or interruptive—creating more natural, seamless conversations for users across platforms.
Problem:
Current AI chatbots struggle with managing multiple consecutive messages, leading to awkward interactions, confusion, and irrelevant responses—breaking the flow of human-like communication.
Solution:
A flexible, state-based AI architecture that dynamically manages message flow, context, and responses. It handles different double texting patterns by transitioning between states like listening, processing, and responding, with techniques to buffer, update, or rollback responses for natural interactions.
Target Audience:
Customer service teams, conversational app developers, social media platforms, and companies seeking smarter AI chatbots for more engaging, realistic user interactions.
Monetization:
Licensing the AI engine to businesses, offering SaaS integrations, or providing API access for developers to embed into their chat platforms.
Unique Selling Proposition:
An open, customizable AI framework designed explicitly to emulate human conversational nuances like double texting, making conversations more fluid and personable—unlike generic chatbots that falter with complex messaging patterns.
Launch Strategy:
Start with an open-source Python prototype targeting developer communities, gather feedback, refine state management techniques, and demonstrate real-world improvements in handling multi-message interactions.
Upvotes: 5
Read more: REDDIT – r/SideProject