An AI model must estimate content work based on its own speed, not human speed. The AI model should assume parallel processing and batched operations for tasks it can perform. This prevents overestimating time and eroding user trust.
By Pawan Nayar · from the LLOS AI Learning record
An AI model must estimate content work based on its own speed, not human speed.
The AI model should assume parallel processing and batched operations for tasks it can perform. This prevents overestimating time and eroding user trust.
An AI model should estimate content tasks assuming it can do many things at once. This means reading multiple files or making many edits in one step. The AI model should use its ability to substitute information quickly. It should not suggest new tools or systems if simple batch commands can finish the work fast. Overestimating time makes the AI model seem slow and less useful.
A developer asks an AI model to rewrite 100 sentences. The AI model first estimates 2 hours. The developer reminds the AI model about its parallel processing ability. The AI model then corrects its estimate to 5 minutes, explaining it can process all sentences at once.
Resolved from this lesson's own record — real definitions, not invented for this page.
More from the same record, pulled by shared topic — not written new for this page.
A developer must estimate task time based on the AI model's speed. Do not estimate based on how long a person would take.
A team must use algorithms and scripts for repeated tasks. Do not manually edit each chapter.
An AI model should use fast methods for large tasks. The AI model should not ask for permission for individual steps.
A developer should use a script when a task has clear, step-by-step rules. This includes finding specific words or counting items.
An AI model must estimate content work based on its own speed, not human speed. The AI model should assume parallel processing and batched operations for tasks it can perform. This prevents overestimating time and eroding user trust.