Clase 04 - 3 Pasos para Convertir Agentes de IA en Ingresos Extra

Turning AI Agents into Extra Income

The class presents a three-step playbook for monetizing AI and automation skills: position yourself professionally, proactively find suitable clients, and propose a tailored solution. The instructors emphasize that tools alone do not generate revenue; results depend on understanding a client’s business problem and communicating a practical solution.

Business Opportunities

• Websites and business systems: Build customized websites, online stores, and management dashboards. Possible revenue models include a fixed project fee, ongoing maintenance and domain fees, or a software-as-a-service arrangement.
• AI automations: Create workflows and chatbots connected to channels such as WhatsApp. For example, a chatbot could answer customer inquiries and schedule clinic appointments. Human staff should monitor and calibrate the system and handle sensitive or exceptional cases.
• AI-assisted video editing: Use AI to accelerate editing and add elements such as transitions, zooms, captions, and graphics.

Three-Step Client-Acquisition Playbook

1. Positioning

• Present a credible professional image and keep profiles—especially on LinkedIn and relevant social platforms—up to date.
• Publish content that makes clear:
  • Who you help
  • What problem you solve
  • What evidence or results demonstrate your value
• Use AI to improve profile photos and produce social content, while reviewing outputs for accuracy and fit with your brand.
• The lesson cites a LinkedIn-related finding that profiles with professional photos can receive up to 21 times more views. This is presented in the class and has not been independently verified here.

2. Prospecting

• Seek potential clients actively instead of waiting for inbound leads.
• Research each prospect’s business and identify a real, specific pain point before contacting them.
• Treat the first message as a way to start a conversation and book a discovery meeting—not as a hard sell.
• For example, instead of pitching “AI automation” with a price upfront, the instructor suggests telling a clinic owner that a test inquiry received a delayed response, explaining the potential impact on bookings, and offering a short meeting to discuss a possible fix.
• AI can help draft and tailor outreach messages, but review the wording and adapt it to your own voice.

3. Proposal

Base the proposal on what the client said in the discovery meeting. Keep it concise and include:

• The client’s problem
• The proposed solution
• Expected results
• Investment and payment terms

Use meeting transcription and summaries to capture requirements accurately. The class demonstrates Tactiq for this purpose. AI presentation tools such as Gamma can turn a validated proposal outline into a polished deck. Review and edit generated material before sending it.

Examples and Recommendations

• A clinic chatbot could respond to inquiries and confirm appointments through WhatsApp, with staff overseeing quality and handling complex cases.
• A website project can be made more valuable by bundling it with a sales dashboard that lets the client review orders, products, and sales indicators.
• A portfolio can demonstrate capability even before a freelancer has many clients. Show sample projects, working pages, dashboards, and automations, and explain the problem each example addresses.
• Use AI to improve the presentation of a real product or service, but do not misrepresent what is being sold.
• Treat client discovery, clear communication, and follow-through as core sales skills. AI can speed up research and preparation, but does not replace understanding the customer.

Metrics and Claims Cited

• The instructor cites a Deloitte report stating that current generative AI use is about 23%, with adoption expected to rise by 74% over the next two years. The class interprets this as indicating a growing need for AI-capable professionals.
• The instructor cites Fiverr data describing an 18,347% increase in demand related to automation work. This figure is repeated as presented in the video and has not been independently verified here.
• In a video-editing example, the instructor says a workflow that might take a professional editor two to three days could be produced in roughly 7–30 minutes with suitable AI tools and knowledge.
• Testimonials shown at the beginning report salary increases ranging from 25% to 30%, doubling or tripling income, and one additional $500 per month. These are individual testimonials, not guaranteed outcomes or independently verified results.

The class also includes a promotion for Daxus training and an upcoming income challenge. These are course offers, not evidence that following the playbook will produce a particular income.

Presenters and Sources

• Instructors/presenters: Ingrid Estupiñán and an unnamed co-presenter or teacher
• Testimonial speaker: Socrates Cabral
• Organizations and platforms cited: Daxus Latam, Deloitte, Fiverr, LinkedIn, Gemini (Nano Banana), ChatGPT, Claude, Tactiq, Gamma, n8n, and Codex