Enhance AI Voice Agent: Vapi.ai & Conversion
Budget: $750 – $1,500 USD
? AI Voice Agent Enhancement – Vapi.ai, ElevenLabs, Prompt Engineering, Conversation Design
Project Overview:
We're building a high-performing AI voice agent that handles inbound and outbound calls related to a vacation promotion campaign. The core platform is Vapi.ai, and we're using ElevenLabs for voice synthesis. The initial agent is live and functioning, but we want to elevate the system to be:
More natural and persuasive
Better at handling objections
Optimized for conversion-driven dialog
Scalable and extensible across multiple campaigns
? What We Have:
A working voice agent on Vapi.ai with ElevenLabs integration
Dozens of real inbound call transcripts
A structured tracker of call outcomes, tags, and objection handling
Clear qualification criteria and compliance rules (e.g., credit score, income, marital status)
A target market: middle America, 60+ homeowners, earning $110K+, responding to mailers
?️ What We Need Help With:
? Advanced intent modeling & dialog flow refinement
Turn our transcripts and success patterns into high-performing conversation paths
Build fallback and recovery logic
? Conversion optimization strategies
Incorporate proven persuasion triggers
Emphasize urgency, scarcity, and value without sounding scripted
?️ Natural voice tuning
Help guide tone, pacing, and structure to match our audience (light Southern or mild British accent tested best)
? Testing & Training
Deploy training examples via Vapi JSON/API
Monitor real-time behavior and fine-tune based on results
? Optional: API scripting, webhook setup, Google Sheets integration
✅ Ideal Candidate Has:
Proven experience with Vapi.ai (or similar dialog systems)
Background in AI voice or chatbot design
Strong understanding of sales psychology or travel incentives
Experience with LLMs, prompt tuning, fallback logic, and voice UX
Can work with real conversation data and structure it for learning
? Scope & Budget:
Start with a deep-dive refinement phase
Ongoing monthly iteration option
Budget is flexible based on experience — please include examples of past AI voice projects
? To Apply:
Reply with:
Your experience with Vapi.ai or similar platforms
Examples of AI voice/chat agents you've built (ideally with real-world audio links)
Your approach to training an agent from real conversation transcripts
Your rate and availability
Project Overview:
We're building a high-performing AI voice agent that handles inbound and outbound calls related to a vacation promotion campaign. The core platform is Vapi.ai, and we're using ElevenLabs for voice synthesis. The initial agent is live and functioning, but we want to elevate the system to be:
More natural and persuasive
Better at handling objections
Optimized for conversion-driven dialog
Scalable and extensible across multiple campaigns
? What We Have:
A working voice agent on Vapi.ai with ElevenLabs integration
Dozens of real inbound call transcripts
A structured tracker of call outcomes, tags, and objection handling
Clear qualification criteria and compliance rules (e.g., credit score, income, marital status)
A target market: middle America, 60+ homeowners, earning $110K+, responding to mailers
?️ What We Need Help With:
? Advanced intent modeling & dialog flow refinement
Turn our transcripts and success patterns into high-performing conversation paths
Build fallback and recovery logic
? Conversion optimization strategies
Incorporate proven persuasion triggers
Emphasize urgency, scarcity, and value without sounding scripted
?️ Natural voice tuning
Help guide tone, pacing, and structure to match our audience (light Southern or mild British accent tested best)
? Testing & Training
Deploy training examples via Vapi JSON/API
Monitor real-time behavior and fine-tune based on results
? Optional: API scripting, webhook setup, Google Sheets integration
✅ Ideal Candidate Has:
Proven experience with Vapi.ai (or similar dialog systems)
Background in AI voice or chatbot design
Strong understanding of sales psychology or travel incentives
Experience with LLMs, prompt tuning, fallback logic, and voice UX
Can work with real conversation data and structure it for learning
? Scope & Budget:
Start with a deep-dive refinement phase
Ongoing monthly iteration option
Budget is flexible based on experience — please include examples of past AI voice projects
? To Apply:
Reply with:
Your experience with Vapi.ai or similar platforms
Examples of AI voice/chat agents you've built (ideally with real-world audio links)
Your approach to training an agent from real conversation transcripts
Your rate and availability