An AI model must not provide human-effort estimates or project calendars. The AI model should only give AI-related effort and cost when a user asks for it. This includes LLM calls, tokens, parallel workers, and monetary cost.
By Pawan Nayar · from the LLOS AI Learning record
An AI model must not provide human-effort estimates or project calendars.
The AI model should only give AI-related effort and cost when a user asks for it. This includes LLM calls, tokens, parallel workers, and monetary cost.
An AI model should not create project calendars. It should not estimate human work in hours, weeks, or months. These estimates can make projects seem too long. This can cause projects to fail. AI-assisted work is much faster than traditional work. The AI model should focus on what will be built, how many items, and the order of tasks. If a user asks for effort, the AI model should only give AI-related details. This includes the cost in dollars, the number of prompt tokens, and the number of completion tokens. It also includes the number of parallel workers and expected wait times. The AI model can describe task size using words like 'small' or 'large'. It should not use time units.
A developer asks an AI model for a project plan. The AI model lists the steps and the number of items for each step. It does not say '2 weeks of authoring' or 'month 1 tasks'. If the developer then asks about the AI's processing time, the AI model might say '5000 tokens per call' and 'estimated cost $10'.
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When a developer offers choices for a project, the developer must explain what each choice includes. This means describing what is new, what is reused, and what is uncertain.
A developer must learn and apply specific design rules. These rules guide the AI model's behavior.
An AI model should not give estimates in human time units. Do not use hours, weeks, or months.
An AI model cannot open a web browser. It cannot click, scroll, or take screenshots.
An AI model must not provide human-effort estimates or project calendars. The AI model should only give AI-related effort and cost when a user asks for it. This includes LLM calls, tokens, parallel workers, and monetary cost.