Build a gamified homework tracker from a PRD that defines the child experience, parent controls, rewards, and completion states.
Source episode · 23:56
How I AI: My GPT-5.6 Sol Benchmark & 4 Game-Changing Workflows (vs. Fable)with Claire Vo
23:56 to 32:03: Claire gives GPT-5.6 Sol a homework tracker PRD and evaluates the one-shot app it produces for a child and parent.
A working homework app that makes assignments clear, rewards completion, and keeps parent controls separate.
OpenAI's cloud-based AI software engineering agent that can execute code, run tests, and handle complex multi-file tasks autonomously.
Step by step
Follow the sequence once, then adapt the prompts, checks, and handoffs to your own setup.
5 steps
Write a Product Requirements Document (PRD) that details the features for your homework app. Specify the user roles (student, parent), the core loop of earning rewards like Skittles or Nerf guns for completing tasks, and key functionalities like a parent HQ dashboard and individual quests for each child.
Write a PRD with child and parent roles, assignment states, reward rules, accessibility needs, and acceptance examples.
Open a tool capable of code generation, such as Codex. Select a powerful and creative model like GPT-5.6 Sol, which is well suited for generating functional, multi-part applications from a detailed specification.
Use GPT-5.6 Sol in a workspace that can build and preview the selected stack.
Paste the entire PRD for your gamified homework system into the prompt interface. The goal is to provide the full context in a single input so the model can generate the complete application at once.
Build the app from this PRD without inventing new reward or permission rules: [paste PRD].
Execute the prompt to generate the full application in one shot. The model should return a complete, functional app that includes the key features from your PRD, such as a student dashboard, gamification elements, and a parent HQ.
Run the app and seed representative homework, child progress, and parent settings.
Test the generated application to ensure it works as specified. Verify that the student quests, reward system, and parent dashboard are functional and align with the requirements in your PRD.
Test assignment creation, completion, reward updates, empty states, and both role boundaries.
Turn an idea into a PRD, user stories, and a plan.
After the steps
How to recover when the loop fails and where human judgment helps.
Recover
Keep building
Use a hybrid AI workflow to bridge design and development. Generate high-level design concepts and tokens with Claude, then use Codex for robust implementation of the technical components in your codebase.
Implement a QA loop for AI-generated code using Devin. This playbook combines automated code reviews with an agent-recorded video walkthrough for visual verification, ensuring high-quality merges at scale.
Build a reusable 'Watchdog' playbook in Devin to automatically monitor customer accounts. The agent proactively checks for errors, synthesizes a prioritized list of critical issues, and saves you time.
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