This article outlines a strategy for leveraging two distinct AI tools, Claude Code and Hermes, to automate and enhance business operations. The core concept involves using Claude Code as a "builder" to create applications, scripts, or agents, and Hermes as an "operator" to manage and run these creations continuously. The synergy between these tools, particularly when integrated with shared memory, is presented as a "cheat code" for efficient business management.

The Builder-Operator Paradigm

The fundamental principle of this strategy is the division of labor between a builder and an operator.

• Claude Code (Builder): This tool is designed for active development, sitting with the user at their keyboard to create specific assets like applications, scripts, or agents. Its strength lies in building a machine once. While Claude Code can perform operational tasks, its design is optimized for initial creation rather than continuous execution.
• Hermes (Operator): This tool operates autonomously on a server or local machine, running on a schedule and managed remotely. Its primary function is to run and maintain the assets built by Claude Code indefinitely, without direct user intervention.

While both tools possess overlapping capabilities, their distinct design philosophies create a powerful combination. Claude Code excels at the initial build, while Hermes excels at perpetual operation. The author notes that while Claude Code is a personal preference for its coding prowess, alternatives like Codeex (available through ChatGPT Plus) can perform the same builder function, allowing for a cost-effective implementation.

Real-World Business Applications

The article presents three real-world examples from the author's business to illustrate the practical application of this strategy:

1. Personal Website (charbell.com): Claude Code was used to build the entire website. Hermes then manages its ongoing operations by monitoring signups and email open rates. If performance metrics decline, Hermes alerts the author and instructs Claude Code on necessary modifications. This exemplifies the "build it once with Claude Code, hand it to Hermes to run forever" model.

2. Content Creation and Video Editing: Claude Code was employed to develop a custom video editing skill. Hermes then analyzes the performance of the edited videos, examining metrics such as view duration, audience drop-off points, and the presenter's energy levels. This analysis informs Hermes' feedback to the author on areas for improvement in future videos. Crucially, Hermes feeds this feedback back to Claude Code, enabling the video editing skill itself to evolve and improve with each iteration. This creates a continuous learning loop where each video enhances the system's ability to produce subsequent, superior content.

3. Core Business Operations: Claude Code is utilized to construct the underlying services offered by the business, including websites and product infrastructure, as seen with founderfunnel.com. Hermes then takes over operational management, monitoring client interactions, identifying potential issues before they escalate, and ensuring client satisfaction. This demonstrates Claude Code building the service and Hermes maintaining its operational integrity and client relationships.

Integrating Tools with Shared Memory

A critical component for transforming these two distinct tools into a cohesive system is the implementation of shared memory. By default, Claude Code and Hermes operate with separate memory stores, meaning information shared with one is not accessible to the other.

The solution involves establishing shared memory layers, conceptualized as a single notebook accessible by both tools. This allows information to be written by one tool and read by the other, creating a unified operational intelligence. This shared memory is additive, augmenting rather than replacing the existing memory systems of Claude Code and Hermes.

Setup involves pointing both tools to the same memory account under a common ID. For Claude Code, this can be achieved through its interface by adding a connector. For Hermes, it involves instructing the agent to connect and providing its API key.

Several shared memory solutions are mentioned:

• Memo: Highlighted for its speed, free starting tier, and ease of setup.
• Zep: Recommended for users concerned with the temporal evolution of data, as it tracks historical states of information.
• Leta: Suitable for those who require transparency, as it allows auditing of all agent memory edits.
• Super Memory: A simple, fully local option that keeps all data within the user's workspace.

The author demonstrates this shared memory functionality by inputting favorite foods into Claude Code and then querying Hermes, which successfully retrieves the information, illustrating a unified understanding between the two agents.

Continuous Improvement and Learning Loop

The integration of shared memory facilitates a continuous learning loop. When Hermes encounters an operational issue, such as a missed client email or a broken page, it analyzes the cause and rewrites its own instructions. This self-correction mechanism ensures that each correction becomes a permanent skill, leading to a system that improves over time without requiring manual rebuilding.

When a significant upgrade or new feature is needed, the process reverts to Claude Code for the build, which is then handed back to Hermes for operation. This cyclical process of building, operating, self-correcting, and learning forms the foundation of the AI-powered business management system.

Strategic Implementation Tips

The author provides five key strategic tips for maximizing the effectiveness of this AI integration:

1. Build with the Premium Model, Run with the Economical: Utilize the most advanced model (e.g., Claude Code) for the initial build and a more cost-effective or local model (e.g., Hermes) for day-to-day operations. This optimizes cost by paying for complex intelligence only during the build phase.
2. Design for Handoff from the Start: When using Claude Code to build, ensure the design anticipates Hermes' operational needs. This streamlines the transition from builder to operator, avoiding post-build adjustments.
3. Implement Self-Verification: Add a directive to every job instructing the system to verify its results before deeming a task complete. This single line of code can prevent numerous silent failures.
4. Establish Safety Gates: Configure Hermes to request user approval for high-risk actions such as sending emails, spending money, or deleting data. This allows for trust in the system's autonomous operation while maintaining critical oversight.
5. Enable Operator-to-Builder Communication: Allow Hermes to invoke Claude Code when new code or significant system upgrades are required. This enables the operator to initiate the building process, creating a more autonomous business management capability.

For users who wish to use Hermes exclusively with other models, the recommendation is to set up a dedicated builder/coder agent profile that Hermes can call upon when needed. The author offers all necessary prompts and templates for this setup in a free resource linked in the description.

Conclusion

The strategy of pairing a builder tool like Claude Code with an operator tool like Hermes, enhanced by shared memory, represents a significant advancement in leveraging AI for business. This setup creates a synergistic team capable of building, operating, and continuously improving business processes, offering a high-leverage approach to automation and management. The author invites readers to consider the first task they would delegate to such a system.