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FleetAgents

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About This Project

FleetAgents: AI-Powered Voice Support Agents for Businesses

šŸŽÆ 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.

šŸš€ 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

šŸ› 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

šŸ”ļø 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

šŸ† 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

šŸ“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

šŸš€ 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

Agentic Workflows
Anthropic (Best use of Anthropic API)
Best use of the AI Agent Swarm Feature (n8n)

Built With

Anthropic SDK
CSS
JavaScript
Next.js
React
Supabase
Tailwind CSS
TypeScript
anthropic
gcp
mongodb
n8n
next.js
react
supabase
tailwindcss
typescript
vapi

Repository

FleetAgents: AI-Powered Voice Support Agents for Businesses

TypeScript97.9%CSS1.7%JavaScript0.4%
Last commit 1 year ago

Submitted December 26, 2025 at 1:03 AM