Not a tutorial. The exact stack, prompts, and hard-won fixes we used to build an AI agent that calls solar leads, qualifies them, and books appointments — 24/7, without human reps.
Real benchmarks. Real code. Real problems solved.
Get the Guide — $49 →You're a developer who wants to build an AI voice agent without paying Vapi/Retell's per-minute fees forever
You're an agency owner who wants to offer AI voice calling as a service to your clients — and keep 80% margin
You're a technical solopreneur who's tried existing voice AI platforms and hit their limits
❌ Non-technical business owners looking for a plug-and-play tool
❌ People who've never written Python or used an API
❌ People looking for "intro to AI" content
+ Appendix A: Scripts for Solar, HVAC, Real Estate, Dental · Appendix B: Tool comparison table · Appendix C: Troubleshooting (15 issues)
We didn't write this guide from theory. We built a production AI voice agent and ran it on real calls. Here's what we measured — on a Mac Mini M2, 16GB RAM:
| Stage | Avg | P95 |
|---|---|---|
| STT (Whisper-base) | 280ms | 420ms |
| LLM (Qwen 2.5 7B) | 390ms | 680ms |
| TTS (ElevenLabs) | 514ms | 820ms |
| Total round-trip | ~1,240ms | ~2,050ms |
We also document how to get under 800ms total with a different stack combination. We solved barge-in with a 50-line audio queue. Fixed STT hallucinations with a 12-phrase blocklist. Built multi-tenant PostgreSQL handling 4 concurrent calls per server.
None of this was in a tutorial. We figured it out. Now you don't have to.
68 pages. Real benchmarks. Production code.
Everything you need to ship your first AI voice sales agent.
Instant download · PDF + Markdown · All future updates included · 7-day refund