Customers are intimidated by token-based pricing. Offering a flat-fee "unlimited agents and usage" package removes this friction. In reality, clients rarely need more than a few well-configured agents, making the model profitable and simple to sell by focusing on value instead of usage.
Instead of building individual integrations, use a tool like Composeo. It provides a single connector that gives an AI agent access to thousands of apps like Gmail, Slack, and Notion. This dramatically simplifies development by handling authentication and tool-calling for a wide range of services through one unified interface.
Executives across target industries share universal problems: too many emails, meetings, and follow-ups. Start by building a "template" agent that solves these core pain points. Once you deliver that initial value, layer on vertical-specific skills to deepen the product's indispensability.
The most efficient workflow is to use a code-generation agent (like Claude Code or OpenAI Codex) to write the code and set up the infrastructure for the robust, long-running agents (like Hermes) you deliver to clients. This "agents building agents" approach is a powerful force multiplier for a solo founder.
Industries like law firms, insurance, and real estate are ideal first customers. They are eager to adopt AI to solve significant operational pain points but lack the in-house talent. This creates a strong market pull for an outsourced agent-building service. Avoid highly regulated fields like healthcare initially.
An agent's power comes from its deep context about a user's business and life. Maintaining a detailed, structured personal knowledge base in a tool like Obsidian, which can be fed to the agent, is the most critical step to creating an agent that feels like a "second brain" and can operate with genuine understanding.
To ensure high reliability, don't wait for clients to report issues. Implement "watchdogs" to auto-restart crashed components. More importantly, configure each client's agent with its own email address to proactively alert you directly when a job or skill fails, allowing you to fix it before the customer even notices.
Instead of using local machines like Mac Minis, host client agents in isolated cloud virtual machines (e.g., via Orgo). This provides a secure, sandboxed environment and allows you (and your own management agent) to remotely access, debug, and update all client agents from a single platform, making fulfillment vastly more efficient.