OpenAI Use-Case Playbook: Match the Surface to the Job

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-openai-use-case-playbook-creators

1. A company wants to build a voice-enabled customer service chatbot that responds in real-time with spoken language. Which OpenAI surface is designed for this specific job?

   1. Responses API for app-controlled calls
   2. Codex for writing code responses
   3. ChatGPT for text-based conversations
   4. Realtime model for low-latency speech-in and speech-out

2. A legal team needs to query their company's internal policy documents securely. Which OpenAI capability handles this type of private document Q&A?

   1. ChatGPT for general conversation
   2. File search or RAG for permissioned retrieval from private corpora
   3. Realtime voice for spoken queries
   4. Responses API with web search for public data

3. What is the core principle this lesson advocates for using OpenAI's platform effectively?

   1. Use ChatGPT for everything since it's the simplest
   2. Match surface, model, tools, and review to the specific job
   3. Use the most powerful model available for all tasks
   4. Add every available tool to maximize capability

4. A developer is building a mobile app that needs AI-powered search returning current information from the internet. Which surface and capability combination fits this job?

   1. ChatGPT for personal assistance
   2. File search for internal documents
   3. Responses API with web search for current sources with model synthesis
   4. Codex for software engineering

5. A data processing team needs to extract invoices, receipts, and forms into a strict database schema. Which surface is designed for this structured data extraction job?

   1. Codex for writing code
   2. Realtime for voice interactions
   3. Structured Outputs for schema-shaped data extraction
   4. ChatGPT for conversation

6. A startup is building a code review assistant that needs to understand repositories, make edits, and verify changes. Which surface handles this software engineering job?

   1. Codex as a repo-aware agent with edits and verification
   2. File search for document queries
   3. Responses API for product features
   4. ChatGPT for quick questions

7. A health-tech company is building an AI feature that must have app-controlled model calls with state management and structured outputs. Which surface owns this product feature job?

   1. Responses API for app-controlled calls, state, tools, and structured outputs
   2. Realtime for real-time voice
   3. Codex for writing application code
   4. ChatGPT for end-user conversation

8. A developer is creating an image generation feature where users describe what they want to see. Which model is purpose-built for this visual generation and editing job?

   1. Codex for code generation
   2. Realtime for voice conversations
   3. GPT Image model for visual generation and editing
   4. ChatGPT for text responses

9. A product manager wants the fastest way to use AI models for personal productivity without building anything. Which surface provides this?

   1. Responses API for custom integrations
   2. Codex for programming tasks
   3. ChatGPT as the fastest way to use models without building
   4. File search for document queries

10. Why does the lesson advise against adding every tool to every model call?

    1. Tools cost too much money
    2. It makes behavior harder to predict; give the model the smallest useful toolbox
    3. The model automatically handles all tool combinations
    4. Tools slow down the model significantly

11. A student wants to build a coding assistant that can navigate a entire codebase, suggest changes, and test those changes. Which surface handles this end-to-end software engineering workflow?

    1. Responses API for API integrations
    2. ChatGPT for answering programming questions
    3. Codex as the repo-aware coding agent
    4. Realtime for voice programming

12. When designing an AI solution, what should be the first step according to the framework in this lesson?

    1. Select the most powerful model available
    2. Add all possible tools
    3. Choose the Responses API
    4. Name the user job in one sentence

13. A company is evaluating AI models for their application. What selection criteria does the lesson recommend beyond just capability?

    1. Pick whichever model is newest
    2. Choose the cheapest model that passes a real evaluation
    3. Always choose the most advanced model
    4. Select the model with the most parameters

14. An e-commerce platform needs to generate product images from descriptions and edit them based on user feedback. Which OpenAI surface handles this combined visual job?

    1. Realtime model for voice conversations
    2. Structured Outputs for data extraction
    3. ChatGPT for describing images
    4. GPT Image model for generation and editing

15. A developer is building an internal tool where employees can ask questions about company benefits, HR policies, and procedures. These documents are private and require permissioned access. Which surface matches this job?

    1. Responses API with web search
    2. File search or RAG for permissioned private document retrieval
    3. Codex for programming assistance
    4. ChatGPT general conversation