A developer must follow clear rules when building new AI features. These rules save time and prevent mistakes. Each rule comes from past problems and makes the development process better.
By Pawan Nayar · from the LLOS AI Learning record
A developer must follow clear rules when building new AI features.
These rules save time and prevent mistakes. Each rule comes from past problems and makes the development process better.
A developer should copy existing designs and read them completely. Use only one color system for all parts of the design. Always check the content that an AI model creates. Design prompts using seven specific rules. Show the correct answer to the user after two failed attempts. Fix how labels stack on mobile screens. Make sure scrolling works correctly. Use clear labels on buttons. Make all options clickable. A developer must read all design documents first. Use semantic tags from schema version two. Include diverse names in examples. Each of these rules helped solve a problem that took 30 to 90 minutes to fix.
A developer builds a new AI tool without reading the design documents first. The developer uses different color codes and label styles. Later, a designer finds many inconsistencies. The developer must spend hours fixing these issues, delaying the project.
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An AI model needs a checklist to verify its output. This checklist should include specific rules.
A developer must verify the output content. The developer should not just check if the script finished.
A developer can find the controls for four experiments in the `aphorist_server.py` file. By default, all experiments are off.
A developer must design the AI model to create short slogans. The model needs clear rules for word count.
A developer must follow clear rules when building new AI features. These rules save time and prevent mistakes. Each rule comes from past problems and makes the development process better.