AI Literacy: Iterating and Refining AI Output
Learning objectives
- Analyze AI-generated output to identify why results are unclear, incomplete, misaligned, or unusable.
- Differentiate between common output problems (e.g., vagueness, overgeneralization, misinterpretation, structural issues) and select an appropriate refinement strategy for each.
- Apply targeted follow-up prompts (clarification, constraint adjustment, expansion, reduction, or reformatting) to move stalled or messy AI output forward.
- Refine prompts iteratively by modifying inputsmwithout rewriting from scratchmto produce output that better matches real workplace needs.
- Evaluate whether refined AI output is sufficiently accurate, usable, and aligned with the original intent before final use.
Course overview
Effective AI use depends on more than writing a single prompt. Strong results require analyzing output, identifying specific issues, and applying targeted refinements that move responses closer to real workplace needs. This course outlines a structured iteration process that transforms vague or misaligned AI responses into accurate, usable, and audience-aligned results.
The individuals involved in the development and promotion of this course do not receive any compensation or financial benefits outside of their regular employment for their work on this course.
- 10 minutes
- Format: Video
- Tier: 1
- Course ID: 19368
English
Course Outline
- Diagnosing the Problem
- Choosing the Best Refinement Strategy
- Evaluating When Output Is Ready To Use