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Timestamps:
0:00 – Intro: The $10,000 AI Agent Strategy
0:48 – Proof of Concept & Real Client Contract
1:08 – The System Blueprint: Speed-to-Lead Automation Breakdown
2:07 – Setting Up the Hosting: VS Code & Hostinger VPS Configuration
3:46 – Inside the Hermes Agent Dashboard
4:02 – Gathering Your Infrastructure API Keys (Anthropic, Twilio, 11 Labs, Cal.com)
6:56 – Setting Up the Lead Capture: Typeform & GitHub Repo Prep
7:58 – Deep Dive: Getting Your Google Sheets API Credentials
9:54 – Prompting Claude Code Live to Build the App Scaffold
10:56 – Configuring Environment Variables (.env) & Connecting APIs
12:00 – Pushing Code to GitHub Safely (Without Leaking Secrets)
13:00 – Terminal Execution: Running the Docker Container & Going Live
15:16 – Connecting the Webhook to Typeform
15:57 – Live Test: The Ultimate Speed-to-Lead Voice Demo
17:21 – Packaging, Pricing, and Selling AI Systems to High-Ticket Clients
Learn how to build and deploy a high-ticket B2B voice automation system using the Hermes Agent and Claude Code developer stack. This video covers the step-by-step implementation of a speed-to-lead conversational AI phone agent designed for local service businesses and roofing contractors. The technical workflow demonstrates how to host a persistent autonomous server on a Hostinger VPS via Docker Compose, configure APIs for serverless triggers, and orchestrate multiple software connections without writing manual code.
The software architecture integrates Typeform lead capture hooks, real-time telephony routing through Twilio, low-latency natural speech generation using ElevenLabs, and multi-variable calendar scheduling via the Cal.com API. Data management is handled by writing dynamic lead profiles directly to Google Sheets using the Google Cloud Platform (GCP) Console and service account credentials. The final segment outlines B2B sales pricing strategies, customer acquisition models, performance retainers, and client implementation pricing structures tailored for artificial intelligence consulting.
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