Design a Rule-Guided Document Evaluation Agent

Last updated: August 14, 2026

Quick Overview

Design a rule-guided document evaluation agent that scores documents based on predefined criteria and provides suggestions for improvement for documents that are acceptable or unacceptable.

Harvey
ML System Design
AI Agent
Harvey
August 14, 2026
AI Agent
Onsite
ML System Design
Medium

4

0

46 solved


Design a rule-guided document evaluation agent that scores documents based on predefined criteria and provides suggestions for improvement for documents that are acceptable or unacceptable.

This question is typically asked during onsite interviews for AI Agent roles at Harvey to assess a candidate's ability to design machine learning systems that can evaluate documents based on specific rules. The interviewer is evaluating the candidate's understanding of system design principles, their ability to translate business requirements into technical specifications, and their problem-solving skills in handling edge cases and potential conflicts in rule application.

What the Interviewer Expects
  • Clearly define the requirements and rules for document evaluation.
  • Outline a high-level architecture for the evaluation agent.
  • Discuss potential challenges and how to handle conflicts in rule application.
  • Provide examples of how the agent will give feedback for improvement.
  • Consider scalability and performance implications of the design.
Key Topics to Cover
Machine Learning System Design
Rule-Based Systems
Document Evaluation
Feedback Mechanisms
Scalability
How to Approach This
  1. Start by mapping the business objective to a concrete ML objective and metric.
  2. Cover the full pipeline: data collection, feature engineering, model selection, training, serving.
  3. Discuss online vs offline evaluation. Plan an A/B test to validate real-world impact.
  4. Address the serving latency budget and whether batch or real-time inference is needed.
  5. Think about the data flywheel: how user feedback improves the model over time.
Possible Follow-up Questions
  • How would you handle ambiguous rules in the evaluation process?
  • What metrics would you use to evaluate the performance of the agent?
  • Can you discuss a project where you implemented a similar system?
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Sample Answer
Requirements

To design a rule-guided document evaluation agent, we first need to define the requirements clearly. The agent should evaluate documents based on a set of predefined rules, scoring them as 'Pass', 'Ac...

High-Level Design

The high-level architecture of the document evaluation agent can be broken down into several components:

  1. Input Module: Accepts documents in various formats (e.g., PDF, Word).
  2. Rule Engine...

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