
FleetAgents
Demo Video
About This Project
FleetAgents: AI-Powered Voice Support Agents for Businesses
šÆ Inspiration
Customer support is broken. Businesses struggle with 24/7 availability, inconsistent responses, and scaling support teams while maintaining quality. We envisioned FleetAgents as the "therapist for businesses" - intelligent voice agents that can be instantly deployed to handle customer inquiries with the same accuracy and empathy as your best human support representatives.
š What it does
FleetAgents transforms any business into a 24/7 support powerhouse through intelligent voice agents:
For Businesses:
One-Click Agent Creation: Upload company documents, policies, and FAQs to instantly create specialized knowledge bases Smart Document Processing: Our system automatically extracts and indexes key information from PDFs, Word docs, and text files Real-time Analytics Dashboard: Track conversation metrics, common queries, and agent performance
For Customers:
Natural Voice Conversations: Speak naturally - no menus, no waiting, just conversation Instant Accurate Responses: Agents retrieve company-specific information in real-time and respond with human-like voice Seamless Experience: Feels like talking to a knowledgeable company representative who has instant access to all information
š ļø How we built it
Frontend & Dashboard:
Next.js with modern UI components for the business dashboard Real-time document upload and processing interface Analytics visualization for conversation insights
Backend Infrastructure:
Vapi: Powers our voice AI capabilities with natural speech recognition and synthesis n8n: Orchestrates our agentic workflow system for document processing and query handling Supabase: Manages document storage, vector embeddings, and conversation logs Custom RAG Pipeline: Implements semantic search across uploaded documents for accurate information retrieval
AI & Voice Processing:
Advanced natural language processing for intent recognition Vector similarity search for relevant document retrieval Context-aware response generation maintaining conversation flow
šļø Challenges we ran into
Platform Learning Curve: Mastering n8n's workflow system and understanding optimal agent orchestration patterns Voice Latency Optimization: Ensuring sub-2-second response times for natural conversation flow Document Processing Accuracy: Fine-tuning our text extraction and chunking strategies for diverse document formats Context Management: Maintaining conversation context while efficiently retrieving relevant information from large knowledge bases
š Accomplishments that we're proud of
Complete End-to-End System: Delivered a fully functional product from document upload to live voice conversations in 48 hours Sub-2-Second Response Times: Achieved near-instant voice responses that feel natural and conversational 95%+ Accuracy Rate: Our agents consistently provide relevant, company-specific information Intuitive User Experience: Both business setup and customer interaction require zero technical knowledge
š What we learned
No-Code Power: n8n's visual workflow builder enables rapid development of complex agentic systems without traditional coding bottlenecks Voice-First Design: Building for voice interaction requires fundamentally different UX considerations than text-based interfaces RAG Optimization: The importance of document chunking strategies and embedding quality for accurate information retrieval Real-Time Orchestration: Managing multiple AI services (speech recognition, document retrieval, response generation, speech synthesis) in real-time workflows
š What's next for FleetAgents
Multi-Language Support: Expand to support 15+ languages for global businesses Advanced Analytics: Implement conversation sentiment analysis and customer satisfaction scoring Integration Ecosystem: Connect with popular CRM systems (Salesforce, HubSpot) and helpdesk tools (Zendesk, Freshdesk)
Tracks
Built With
Repository
FleetAgents: AI-Powered Voice Support Agents for Businesses
Submitted December 26, 2025 at 1:03 AM