Skip to content

TS__001_formalize_success_criteria.md

Goal

Formalize the project's Success Criteria into a clear, English, and visually structured document.

Context

The current SUCCESS_CRITERIA.md contains raw thoughts in Russian about how to correctly use LLMs within the Trace-First Framework. The core philosophy is that the AI must handle the task end-to-end without manual editing of the results—only the prompts should be edited.

Input

  • SUCCESS_CRITERIA.md (Source thoughts in Russian)

Requirements

  1. Translate the existing points into clear, professional English.
  2. Visualize/Structure the criteria. Use formatting (bolding, lists, maybe a small ASCII diagram or table) to make it immediately understandable.
  3. Expand on the core concepts:
    • End-to-End AI Execution: No manual fixes.
    • Prompt-Driven: Edit intent, not output.
    • Atomic Tasks: Break down work to fit context limits.
    • Roadmap: Always have a high-level view.
    • Thoughts > Results: Capture the "why" and "how" (traces) as they are more valuable than the final code.
  4. Output: Overwrite SUCCESS_CRITERIA.md with the new content.

Definition of Done

  • SUCCESS_CRITERIA.md is in English.
  • It is visually appealing and easy to scan.
  • It accurately reflects the original philosophy.