Build AI Sales Development Agents: Clay Enrichment, Audio Agents & Production Challenges

Sign up for the next session here: https://maven.com/p/b5dd86/evaluate-ai-with-jev-when-classification-beats-an-llm Mahesh walks through the complete AI-first GTM framework: how to enrich leads with Clay, build production-ready audio agents, and what actually makes them work (and where they fail). What You'll Learn: Part 1: Lead Enrichment with Clay (The Foundation) Start with just email addresses → Get LinkedIn profiles, phone numbers, growth intent, sales angles Meta-prompting: Using AI to generate better prompts for AI ICP segmentation: How to filter and score leads automatically Real example: Enriching Maven course signup list to find AI-ready PMs Accuracy rates: 60-70% profile recovery, 70-80% accuracy on enriched data Privacy & compliance: Email list strategies that actually follow regulations Part 2: The Audio Agent Ecosystem The 3-component stack: Speech-to-Text + LLM + Text-to-Speech ElevenLabs: Voice cloning, custom voice training, tone/pause configuration VAPI: The N8N for audio agents (script upload, phone integrations, evaluations) Twilio: Getting phone numbers and calling infrastructure Bland AI & Retail AI: Plug-and-play solutions vs. custom builds Cost comparison: Which tools make sense for your use case Part 3: Building & Iterating Audio Agents (The Hard Part) Why "Brian v1" sounds robotic but "Ryan" sounds human The 14-iteration journey: What actually changes between versions Rule #1: Teach the agent to talk like a person (not repeat everything) Rule #2: Give it your actual voice (ElevenLabs voice cloning) Rule #3: Add thinking time (agents respond too fast) Real call examples: AI agent before & after training (can you tell which is which?) Part 4: Measuring Audio Agent Quality Task success rate: Did they actually qualify the lead? Mean Opinion Score (MOS): How natural does it sound? Word Error Rate (WER): Speech-to-text/text-to-speech accuracy First Contact Resolution (FCR): Can they handle it on call 1? Latency: Speed between human speech and agent response Mean Substral Distortion (MCD): Do pauses & gaps feel human? Compliance checks: What happens when they get adversarial prompts