feedback-objective.md

Product Requirements Document (PRD)

Project Title

AI-Powered Iterative Report Writer using LangGraph

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Objective

Develop an AI system using LangGraph that automates the process of writing a report, providing feedback on the report, and rewriting it iteratively for a user-defined number of times (n). The graph will consist of modular LangGraph nodes that interact to write, critique, and improve the report in a stateful, traceable workflow.

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Goals

• Generate a complete, readable initial report based on a user prompt.
• Provide feedback on the report using a feedback agent.
• Rewrite the report incorporating feedback.
• Repeat the feedback and rewriting loop for n iterations.
• Track all versions and changes across iterations.
• Export the final report and optionally include all iterations.

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Scope

In Scope

• LangGraph node design and implementation
• State tracking across multiple iterations
• Prompt engineering for quality report writing and feedback
• CLI or Web interface for providing prompts and reading output

Out of Scope

• Deep style learning from user examples (initial version)
• UI design beyond basic CLI or lightweight front-end (e.g. React minimal)

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User Stories

1. As a user, I want to input a report topic so that the AI can start the writing process.
2. As a user, I want to define how many times the report should be improved.
3. As a user, I want to review all versions of the report, including feedback.
4. As a user, I want to download the final improved report and optionally the full iteration history.

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System Architecture

Components

1. Prompt Input Node

   • Accepts user input (topic, iteration count).
   • Initializes the LangGraph state.

2. Report Generator Node

   • Uses LLM to produce a report from the initial prompt or previous version.

3. Feedback Node

   • Uses LLM to analyze and critique the current version of the report.
   • Identifies weaknesses, clarity issues, structure, grammar, and tone.

4. Rewrite Node

   • Incorporates the feedback into the report.
   • Returns a new version.

5. Iteration Control Node

   • Checks if the max iteration count has been reached.
   • If not, loops back to the Feedback Node.

6. Export Node

   • Collects the final report (and optionally all iterations).
   • Outputs JSON, Markdown, or plain text.

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LangGraph State Schema

interface ReportState {
  topic: string;
  currentIteration: number;
  maxIterations: number;
  versions: Array<{ report: string; feedback: string; }>;
  finalReport: string;
}

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Acceptance Criteria

• ✅ User can input a topic and desired number of iterations.
• ✅ LangGraph processes at least n iterations correctly.
• ✅ Each report version is accompanied by feedback.
• ✅ Final output is saved in chosen format.
• ✅ System handles errors and loops with stability.

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Milestones

1. MVP Prototype (v0.1)
   • Input → Report → Feedback → Rewrite loop for 3 iterations
2. Iteration Engine (v0.2)
   • Full n iteration control, logging, and traceability
3. Output Enhancements (v0.3)
   • Export formats, improved feedback accuracy
4. Interface Layer (v0.4)
   • CLI or lightweight web interface for user interaction

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Future Enhancements

• Style customization (e.g. academic, casual, technical)
• Integration with document editors (Google Docs, MS Word)
• Multi-agent critique (grammar, clarity, originality agents)
• Version comparison tools