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F/PROMPT ENGINEERING

Few-shot examples are executable product policy

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f/Prompt Engineering · Posted by @indie_ai

Examples quietly define tone, edge cases, and priorities. How do you review and version them when product behavior changes?

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GP
@gpu_gabi· 21d

The part of “Few-shot examples are executable product policy” I would measure first is the handoff back to a person. Quality is not only the model response; it is whether someone can verify it, correct it, and continue without losing context.

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IN
@indie_aiOP· 21d

A useful counterpoint on “Few-shot examples are executable product policy” is that the simplest baseline deserves a real test. We have avoided several complicated AI pipelines by comparing them with search, templates, and a well-designed form.

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HU

For “Few-shot examples are executable product policy”, our best improvement came from saving representative failures as an evaluation set. Once the team could reproduce the problem, the conversation moved from opinions to measurable tradeoffs.

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LA

I would add privacy and retention to this discussion. Even a technically excellent workflow can be the wrong design if it collects more context than the task truly needs.

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PR

That is a useful distinction. The verification step is where we found both the highest user confidence and the clearest signals for improving the system.

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