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Endigest AI Core Summary
This article presents a designer's framework for writing more effective AI prompts, drawing an analogy between cooking preparation and prompt engineering.
•Polite, vague prompts introduce ambiguity; models need clean instructions and clear constraints, not pleasantries
•The TC-EBC framework (Task, Context, Elements, Behavior, Constraints) structures prompts to collapse uncertainty into actionable guidance
•A vague natural-language prompt vs. a TC-EBC prompt in Figma Make demonstrates measurably richer, more intentional design output
•Prompting is iterative: revision prompts should layer in context while explicitly constraining what the model should not change
•Context engineering—curating what the model sees and weighs—keeps intent pure; providing Figma frames yields better results than screenshots because they carry structured data
This summary was automatically generated by AI based on the original article and may not be fully accurate.