I Built a $10K/Month AI Agent

This summary explores the journey of Ivan, a builder from Macedonia, who transformed a tedious manual process into a thriving software-as-a-service (SaaS) business called Lancer. By leveraging the power of AI agents and a unique "connector" distribution strategy, Ivan managed to scale Lancer from zero to $10,000 in monthly recurring revenue (MRR) within just four months of its launch. Remarkably, he achieved this growth without spending a single dollar on paid advertising or relying on a pre-existing social media audience. **The Genesis of Lancer: Solving a Personal Pain Point** Ivan’s story begins with his experience running NB Masters, a software development agency that he led for five years. While the agency was successful, reaching seven figures in revenue and employing nearly 20 people, it relied heavily on Upwork as its primary lead generation channel. Ivan identified a significant inefficiency: Upwork sees approximately 200,000 job postings per month, and for a human to qualify a job and write a high-quality, personalized proposal, it takes about ten minutes. Because jobs are posted around the clock, it is impossible for a human team to maintain constant coverage. Recognizing that this was a perfect use case for artificial intelligence, Ivan built an internal tool to automate the discovery, qualification, and bidding process. The results were immediate and dramatic. After a beta test where agency-owner friends closed five-figure deals within two weeks of using the tool, Ivan realized he had a viable standalone product. He named it Lancer and transitioned it into a premium SaaS offering. **The Business Model and Product Functionality** Lancer operates on a subscription-based model with three distinct pricing tiers. The "Pay As You Go" plan starts at $79 for 30 proposals, with a $2 fee for each additional send. The "Light" plan costs $300 for 250 proposals, and the "Unlimited" plan, which served as the initial launch offer, is priced at $500 per month. The product functions as a sophisticated AI agent. During onboarding, users fill out a comprehensive "knowledge base" that includes their name, specialties, preferred tools, and—importantly—the types of projects they wish to avoid. Users then connect their Upwork accounts and set up search queries. Lancer operates on autopilot, testing job suitability and drafting proposals based on the user's specific history and expertise. It even includes a "sandbox mode" for testing and a dashboard to track performance across multiple campaigns and accounts. **The "Connector" Strategy: Growth Without Ads** The most distinctive aspect of Lancer’s success is Ivan’s growth strategy, which he calls the "connector" method. Rather than targeting individual freelancers through broad-reach marketing like TikTok or Facebook ads, Ivan identified the "layer" of influence sitting directly above his ideal customer profile (ICP). In the world of Upwork, these connectors are "Upwork coaches." These individuals have already established deep trust and authority within the freelancer community. They typically mentor 5 to 20 new students every month who pay significant fees to learn how to get leads. Ivan realized that if he could convince these coaches of Lancer’s value, they would become his most effective sales force. His approach to securing these connectors was highly personalized. For his first major affiliate, a recommendation from a beta user led to a product demo that "blew away" the coach, who then began referring every client. For the second coach, Ivan used a bolder tactic: he sent a cold LinkedIn message offering the coach $1,000 just to jump on a call and try the software. This investment paid off, as these two coaches drove the majority of Lancer’s initial growth. Ivan offers these affiliates a lifetime commission—30% if they handle the full onboarding and setup, or 20% for a simple referral. **The Playbook for Building AI Agents** Ivan outlines a five-step playbook for anyone looking to replicate his success in the burgeoning field of AI platform automation: 1. **Define the ICP:** Identify who has a problem they are ready and willing to pay to solve. 2. **Identify Connectors:** Find the people who command the respect and trust of your ICP. 3. **Personalized Outreach:** Send highly researched pitches or long-form Loom videos to these connectors. 4. **Negotiate Terms:** Offer standard lifetime commissions (20-30%) or upfront payments depending on the affiliate's reach. 5. **Automate Tracking:** Use specialized software, such as Tolt, to manage affiliate links and monthly payouts. **Technical Implementation and Future Outlook** Technically, Lancer was built using the same stack Ivan’s agency used: TypeScript, Next.js, and Node.js. He utilizes OpenRouter for LLM APIs and a combination of Hetzner and GCP for hosting. Interestingly, Ivan notes that his team now uses AI coding tools like Cursor so extensively that they "barely touch" actual programming languages anymore. Reflecting on his journey, Ivan’s primary advice to aspiring entrepreneurs is to stop optimizing for immediate financial security and start building software products sooner. He regrets staying in the "agency arena" for too long, noting that while it was profitable, it lacked the high leverage and scalability of a software product. He believes we are still in the early stages of an AI revolution, where the opportunity to automate tedious, repetitive tasks on existing platforms like Upwork, Fiverr, or LinkedIn remains vast and largely untapped. For Ivan, the skills gained from building and scaling a product are worth more than any high-paying salary.