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Obsidian and Hermes: Productizing Expertise with AI
If you're an expert in your field, you know that your time is valuable. The challenge is how to leverage that expertise without being constantly tied to billable hours. One innovative approach is to encode your expertise into an Obsidian-Hermes system. This system not only applies frameworks and decision trees but also remembers past interactions and improves over time, allowing you to sell access to your knowledge rather than your time.
Why This Matters
In today's fast-paced business environment, efficiency and scalability are key. Traditional consulting models, where experts bill by the hour, can be limiting. They often create a time ceiling that restricts earning potential and scalability. By encoding your expertise into a system like Obsidian-Hermes, you can escape these limitations. This system holds your structured knowledge, applies frameworks, recalls past cases, and self-improves, all without your direct involvement.
The Two-Layer System
The Obsidian-Hermes system consists of two main layers:
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Obsidian Layer: This layer holds your structured knowledge. It includes frameworks, decision trees, worked examples, and domain expertise. Think of it as the brain of the system, storing all the critical information and methodologies that you use in your practice.
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Hermes Layer: This is the application layer. Hermes reads the knowledge stored in Obsidian, applies it to client input, and remembers past interactions. Over time, it refines its skills, becoming more efficient and accurate in its responses.
How It Works
The process begins with encoding your expertise into the Obsidian layer. This involves documenting your frameworks, decision trees, and worked examples in a structured format. Once this knowledge is inputted, Hermes can start applying it to client queries.
For example, if a client inputs a specific case, Hermes will pull relevant frameworks and decision trees from Obsidian, apply them to the case, and generate an output. This output can then be reviewed and refined by you, ensuring that the system's responses are accurate and useful.
Access Models
There are three primary models for selling access to your system:
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Managed Model: In this model, you run cases through the system, QA the output, and deliver it to the client. This is the highest-touch model and offers the most control but requires the most time.
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Supervised Model: Here, clients access the system via a Telegram bot, and you monitor escalations. This model offers a balance between control and scalability, allowing clients to interact with the system while giving you oversight.
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Licensed Model: This model treats the system as a permanent asset. You license the system to clients, who can use it independently. This is the most scalable model but offers the least control.
Model Progression
The progression from the managed to the supervised and eventually to the licensed model is a natural evolution as the system becomes more refined and reliable. Initially, you might start with the managed model to ensure the system is working correctly and to refine its outputs. Over time, as the system improves, you can transition to the supervised model, allowing clients more autonomy while still monitoring for issues. Finally, when the system is robust and reliable, you can license it, creating a passive income stream.
First Steps
Getting started with the Obsidian-Hermes system involves several key steps:
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Identify Your Expertise: Determine the frameworks, decision trees, and worked examples that define your expertise.
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Encode Knowledge: Document this expertise in a structured format and input it into the Obsidian layer.
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Set Up Hermes: Configure Hermes to read and apply this knowledge to client queries.
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Choose an Access Model: Decide on the access model that best fits your needs and start offering access to your system.
Practical Tips
Structuring Your Knowledge
When encoding your expertise, focus on clarity and structure. Use clear, concise language and organize your knowledge into easily digestible sections. This will make it easier for Hermes to apply the knowledge and for clients to understand the outputs.
Monitoring and Refining
Regularly monitor the system's outputs and refine the knowledge stored in Obsidian as needed. This continuous improvement will ensure that the system remains accurate and valuable to your clients.
Choosing the Right Model
Consider your goals and resources when choosing an access model. If you want maximum control, start with the managed model. If you prefer a balance of control and scalability, opt for the supervised model. For a more passive income stream, the licensed model is the way to go.
Important Takeaways
Freedom from Time Constraints
By encoding your expertise into the Obsidian-Hermes system, you can free yourself from the constraints of hourly billing. This allows you to focus on high-value activities and scale your impact.
Continuous Improvement
The system's ability to remember past interactions and refine its skills means that it will continually improve, becoming more valuable over time.
Scalability
With the right access model, you can scale your expertise to reach a larger audience, generating more income and impact.
Conclusion
The Obsidian-Hermes system offers a powerful way to productize your expertise, allowing you to sell access to your knowledge rather than your time. By structuring your knowledge, encoding it into the system, and choosing the right access model, you can create a scalable, efficient, and valuable offering for your clients. Whether you're a consultant, a specialist, or an expert in any field, this system can help you maximize your impact and income, making your expertise work for you even when you're not actively engaged. The potential for this approach to change how you monetize your expertise is significant. If you’re ready to escape the time ceiling and leverage your knowledge in a more scalable way, the Obsidian-Hermes system is a compelling option to consider.
Key points
- The Obsidian-Hermes system enables experts to sell access to their knowledge instead of their time
- Traditional consulting models can limit earning potential and scalability
- The Obsidian layer stores structured knowledge and methodologies
- The Hermes layer applies the stored knowledge to client input and improves over time
- There are three primary models for selling access to the Obsidian-Hermes system: managed, supervised, and licensed
- The progression from managed to licensed models increases scalability but decreases control
FAQ
The Obsidian-Hermes system is an AI-powered tool that enables experts to convert their knowledge into a digital format. It applies frameworks and decision trees, remembers past interactions, and improves over time. This allows experts to share their insights and methodologies without being constantly tied to billable hours.
By encoding expertise into the Obsidian-Hermes system, professionals can sell access to their knowledge rather than their time. This approach eliminates the time ceiling imposed by traditional consulting models, allowing experts to reach a wider audience and increase their earning potential.
Yes, the Obsidian-Hermes system is designed to be versatile and can be applied in any industry where expert knowledge is valuable. It is particularly beneficial in fast-paced industries where efficiency and scalability are crucial. This could include tech industries like AI development, but also business consulting, healthcare, and more.
The Obsidian-Hermes system learns from past interactions and continuously improves its algorithms. This means that as more users interact with the system, it becomes more accurate and effective at applying the expert's knowledge, thereby providing better insights and frameworks over time.
Consultants can benefit from the Obsidian-Hermes system by turning their knowledge into a scalable product. This allows them to reach more clients, work more efficiently, and increase their earnings without being limited by the number of billable hours they can work in a day. It also provides a competitive edge in the market.
The Obsidian-Hermes system is designed to manage complex decision trees and frameworks by encoding them into an AI model. This allows the system to apply these structures effectively, providing users with precise and relevant insights based on the expert's methodologies.
While the details are not specified in the excerpt, typically such systems come with comprehensive support resources. These might include user manuals, customer support, and possibly training sessions to help experts encode their knowledge effectively into the system. Professionals interested in the system should reach out to the providers for specific details about setup support.
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