LLM Interaction Strategies
This white paper is in development. Target publication: Spring 2027.
The Problem
Most people get a generic experience from AI tools — not because the tools are limited, but because they never invest in the relationship.
A model with no context about you produces generic output. That is not a flaw in the model. It is a solvable problem that almost nobody is solving deliberately.
What This Paper Will Cover
A practitioner-written methodology for building an effective working relationship with a large language model. Not a prompt engineering guide. Not a features list.
The human skill layer underneath all of it:
- How context investment works and why it compounds over time
- What “sharing first” looks like in practice
- How to calibrate a model to your working style
- How to maintain and evolve that calibration as your needs change
Core Thesis
Most people get a generic experience from AI tools not because the tool is limited but because they never invest in the relationship. Context investment, honest communication, and deliberate personalization produce dramatically better outcomes. That is a teachable skill and nobody is teaching it seriously.
Status
📋 Planned — Spring 2027
In the meantime, the ideas behind this paper are being tested and documented in the Captain’s Log throughout the 18-month build.