#Introduction I'm Rodrigo, a programmer with over 20 years of experience based in Texas, USA. After completing my AI & Machine Learning Masters, I launched an AI Agency focused on AI Agents and Automation, and for the last 6 months specifically focused on n8n for businesses generating $1M+ annually. #Key Insights Ideal Clients: Companies with 10+ employees earning $5-10M yearly. You'll work directly with owners (shorter sales cycles) and find better opportunities to improve processes. Best Acquisition Channel: LinkedIn - easily identify decision-makers, engage with their content, then connect with a friendly (non-sales) message. Share valuable content before suggesting demos. Sales Approach: Offer a Proof of Concept (POC) during meetings to demonstrate practical solutions to specific problems. Product Focus: I excel in just three revenue-generating solutions (marketing, sales, customer service), all Ready-to-Deploy. This allows for faster implementation and unified improvements. Pricing Model: Monthly fees outperform one-time setup fees. They provide continuity, prevent "starting from zero" each month, and eliminate friction around maintenance charges. #Clients to Avoid: - Companies under $1M revenue (require foundational work) - Businesses with undefined processes - Those expecting AI to solve cash flow problems - Clients without existing, functioning processes #Operational Tips: - Automate your internal processes - Keep onboarding and support initially manual to better understand clients - Invest in help desk software (I use the open-source solution from https://frappe.io/helpdesk) - Implement professional workflow monitoring (I use n8ops from https://www.n8ops.com) which gives me unified visibility across all client workflows. This has been transformative for proactive maintenance and quick troubleshooting, dramatically reducing downtime and improving client satisfaction. - Focus on rapid value creation (30% of my new clients come from referrals)

For a deeper discussion on building AI Agents in n8n, let's chat here. In this video, I’ll show you how I built a fully no-code system in n8n where your AI agent can dynamically choose the best language model based on the task it receives. Whether it’s a quick conversation, a research-heavy question, a function call, or deep logical reasoning, this agent routes your request to the most optimized brain automatically. That means lower costs, faster execution, and higher output quality. Google Sheet Template

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