Friction Engineering - when disagreement becomes the mechanism

An innovative method called SOFIA (Structured Operations Framework for Intelligent Agents) aims to address the challenges faced by teams working with large language models (LLMs). The core of this approach is a protocol known as H2A (Human-to-Assistant), which ensures that assistants stay within their designated roles, maintain context across sessions, and facilitate transparent decision-making processes.

Key Components of SOFIA

1. Persona Isolation:

   • Each assistant persona operates with strict boundaries defined by its role, expertise, product scope, and interactions with other personas.
   • This prevents the generalist tendency where an assistant might take on multiple roles over time, leading to diluted focus and reduced effectiveness.

2. Persistent Context Management:

   • Personalized context files for each persona are maintained in a version-controlled repository (e.g., git).
   • These files ensure that assistants retain historical context across sessions, preventing the loss of critical information and assumptions made earlier in projects.

3. Transparent Decision-Making:

   • Decisions made by personas during sessions are documented with markers indicating whether they were ratified, revised, contested, or rejected.
   • This ensures that all decisions are traceable and can be reviewed later, enhancing

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