AI Tools: The ONLY AI Agent I sell to make $25,833/Week

Watch on YouTube: https://www.youtube.com/watch?v=1YuQHzFJ8vk

Channel: Zack Kirk

Introduction

The video presents a method for creating a custom AI knowledge‑base agent that can be sold to service‑based businesses. The example used is an auto shop, but the approach is framed as applicable to any service provider that relies on scattered systems such as calendars, CRMs, payment processors, and supplier lists. The presenter claims that by building and selling this agent, a non‑technical seller can earn up to $25,833 per week.

What the Video Covers

The core idea is to develop a branded AI agent that acts as a centralized knowledge base tied to the client’s existing tools. The agent can answer questions in real time, generate quotes, prioritize follow‑ups, and summarize supplier information. It is accessed through a dashboard and can be triggered via WhatsApp (using a keyword like “Jarvis”). The agent is positioned as a tailored GPT or Claude model that understands the specific operations of a business, rather than a generic AI receptionist.

The demonstration shows the agent producing seven quotes worth approximately $9,000 and generating a follow‑up list of 16 prioritized leads in under fifteen minutes of setup. The presenter cites a blended margin of 57.1% on those quotes and suggests that the agent could replace an employee earning $100,000‑$200,000 per year, making a $40,000 upfront price tag appear reasonable.

Step‑by‑Step Walkthrough

First, sign up for OpenRouter and create an API key, setting a low credit limit for testing (the demo used a $5 credit). Next, initialize a Next.js project and configure local storage to persist data. Add the OpenRouter key to an .env.local file.

Then, set up a WATI account, scan the QR code to link your WhatsApp number, and add the WATI API key to the same .env.local file. After the backend is ready, copy or clone the dashboard prompts provided by VocalChat.ai to build the user interface. Rebrand the UI with your agency’s logo and domain.

Train the agent on the client’s real data—quotes, CRM entries, supplier lists, and calendar information. Iterate with the client for about two weeks, incorporating feedback before final deployment. While the technical build can be outsourced to a developer, the seller focuses on outreach, relationship building, and presenting the value proposition.

Develop a simple outreach script that identifies pain points caused by scattered systems, proposes a custom knowledge‑base solution, and outlines an upfront‑cash offer. Practice delivering the demo (quote generation, follow‑up list, supplier summary) to gain confidence before sales calls.

Tools and Numbers Mentioned

• Next.js – framework for the frontend
• OpenRouter – provides model access; demo used a $5 credit
• WATI – enables WhatsApp integration
• WhisperFlow – referenced as part of the stack
• VocalChat.ai – the presenter’s agency used for branding the agent
• Calendly – example of a calendar API that could be connected
• $25,833/week – claimed weekly earnings from selling the agent
• 15 minutes – time to build the demo version
• $9,000 – total value of seven quotes generated in the demo
• 57.1% – blended margin on those quotes
• $40,000 – potential sale price for a fully customized agent

Caveats and Hype Check

The claim of earning $25,833 per week is presented without verifiable proof, client testimonials, or detailed financial breakdowns. It appears to be an aspirational figure intended to attract viewers. The video heavily promotes the presenter’s own agency, VocalChat.ai, as the branding example, which raises the possibility of a self‑promotional or affiliate motive. While the technical steps are outlined, the video does not provide evidence that the described revenue level is consistently achievable for most sellers.

Concrete Next Actions

• Sign up for OpenRouter and create an API key (set a low credit limit for testing)
• Create a Next.js project, add local storage, and integrate the OpenRouter key in an .env.local file
• Set up a WATI account, scan the QR code to link WhatsApp, and add the WATI API key to the same .env file
• Clone or copy the provided dashboard prompts (e.g., from VocalChat.ai) to build the knowledge base UI and rebrand it with your agency’s logo and domain
• Train the agent on a client’s real data (quotes, CRM, supplier lists) and iterate for two weeks with feedback before final deployment
• Develop a simple outreach script that identifies scattered systems, proposes a custom knowledge base, and outlines the upfront‑cash value proposition
• Practice presenting the demo (quote generation, follow‑up list, supplier summary) to build confidence before sales calls