Building a Solo AI Agency with Automated Evaluation Tools

The Strategy for Solo Scaling

The author outlines a framework for a one-person, million-dollar business based on three filters: deploying software rather than capital, automating sales and support, and maintaining a repeatable, low-customization product. By focusing on AI evaluation software, the author aims to solve the problem of manual quality assurance for AI agencies that deploy customer support bots.

Building Agent Report Card

The core product, Agent Report Card, functions as a quality assurance tool that subjects AI agents to a "golden data set" of 16 high-risk scenarios, such as billing disputes, refund requests, and private data exposure. The tool identifies failures, allows the user to refine agent instructions via Claude, and generates a client-ready report proving the agent's reliability. The workflow is structured into three parts: the core evaluation engine, an AI-driven sales and support triage system, and a lead-generation pipeline using Clay for B2B data enrichment.

Operational Economics

To reach $1M in annual recurring revenue, the business requires 168 active customers paying $499 per month. The author emphasizes the "Pain, Person, Promise" framework to maintain focus: the pain is manual testing, the person is an AI automation agency, and the promise is a validated, client-ready report. By narrowing the scope to customer support agents rather than general-purpose agents, the business maintains a specific, high-value niche that is easier to support without additional staff.