Atlas · GenAI 2026
AI Requirements Engineering
Writing clear specs & acceptance criteria for GenAI
conceptPeak: 2024Requirements & SpecsAI consensus: 2/3
Prerequisites
Specs operationalize product thinking — you must understand the value proposition before you can specify acceptance criteria
Acceptance criteria for GenAI often map to evaluation metrics — understanding automated eval helps write testable specs
Recommended reference
Anthropic (2024) 'Building Effective Agents' — docs.anthropic.com; section on defining success criteria for LLM systems
Notes from AI deep research
Anthropic Opus
Zdefiniowanie 'co znaczy dobra odpowiedz' — najtrudniejsza czesc GenAI specs
OpenAI Deep Research
Testowalne wymagania (jakość, bezpieczeństwo, koszty) [OA#81]
Related skills
- → is part of: AI Product Management(3/3)
- → is subcategory of: Requirements Engineering(3/3)