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One Bootstrap per Conversation

Nasticks edited this page Feb 3, 2026 · 5 revisions

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The World's First Programming Language for AI Persona Management
Make AI behavior programmable, portable, and predictable.


One bootstrap per conversation (recommended)

We recommend using one bootstrap per conversation. This keeps the model focused on one domain (Standard, Image, Video, Audio, or Slides), so personas and constraints stay coherent and results are easier to optimize.


Why it helps

  • One conversation = one set of personas and one context (e.g. image or video). No mixing of registries, no conflicting constraints.
  • The model can follow one clear set of instructions.
  • A single bootstrap uses context and tokens efficiently.

In practice

When you need another domain, start a new conversation and paste the bootstrap that matches:


See also

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