Original Reddit post

Copy the prompt below into an AI session that already has access to your real work history. Your current workflow may already be strong. If it is, the result should help you identify what must not be lost as you add more projects, agents, handoffs, collaborators, or model changes. The check returns one of three directional results:

  • 1.01 — useful operating structure is likely to compound
  • 0.99 — recovery, supervision, or coordination costs are likely to compound
  • UNKNOWN — the accessible history is not sufficient to determine the direction These are directional labels, not measured productivity multipliers. The distinction is not only about model capability. A stronger model does not automatically preserve:
  • why an earlier decision was made
  • what was actually completed
  • what remains unresolved
  • which evidence was checked
  • where the next session should restart
  • who owns the next action Use only history your AI can actually access. Do not let it invent incidents, probabilities, or missing evidence. Copy-paste prompt: Using only the work history you can actually access, assess whether my current AI operation is likely to compound as 1.01, 0.99, or UNKNOWN when the number of projects, agents, handoffs, collaborators, and model changes increases. Do not use generic accident rates, imagined events, or unsupported assumptions. Use evidence from my actual accessible history. When evidence is missing, write UNKNOWN. Start with what is already working. Then identify: Current operating practices that are already effective Strengths that are likely to remain useful under scale Re-explanation, re-verification, supervision, handoff, ownership, and recovery costs that may repeat under scale The actual history supporting each judgment Important conditions that cannot currently be evaluated The minimum conditions that should be checked before expanding Choose one final classification: 1.01 — The current operation is likely to compound useful structure under scale 0.99 — The current operation is likely to compound recovery, supervision, or coordination costs under scale UNKNOWN — The available history is insufficient to determine the direction If the result is 1.01: Do not recommend replacing the workflow. Explain which conditions must not be lost during expansion. If the result is 0.99: Do not recommend a full framework rollout. Propose only one reversible change for the next real task. If the result is UNKNOWN: Specify only what should be recorded during the next real task to make the operation diagnosable. A 1.01 result means preserving what already works. A 0.99 result does not mean redesigning everything. It means testing one reversible change on the next real task. UNKNOWN is also a valid result. It means the available history cannot yet support the judgment. submitted by /u/Powerful_Creme2224

Originally posted by u/Powerful_Creme2224 on r/ArtificialInteligence