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Example: Question Decomposer: Blockers and Clarifying Questions
Created by
jay casey
Run Question Decomposer: Blockers and Clarifying Questions with a small, ready-to-copy input. Give a question and its known context to Liminality. Get ranked information gaps, focused subquestions, and a multiple-choice clarification form in JSON and Markdown.
AI Question Decomposer & Clarifying Questionsphysealabs/question-decomposer
Index
Status
Question
Subquestions
+3 fieldsTextNumberBooleanListObject
Input
Items to process(required)
Question(required):Should our 12-person SaaS company build or buy customer support automation?
Context:We need a recommendation for next quarter. Budget and timeline are not yet fixed.
Output fields
Index
Status
Question
Subquestions
Blockingblanks
Clarifyingform
Error
Sign up on Apify01
Create your Apify account to access the AI Question Decomposer & Clarifying Questions.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
