Prompt Tracking & Grading

See how candidates really use AI

Code Jack logs every prompt a candidate sends during their assessment. You get graded prompts, submission-level strengths and weaknesses, and side-by-side comparison — giving you the full picture of how each candidate works with AI.

Grade every prompt

Each prompt a candidate sends is automatically logged with a quality grade. See who writes detailed, well-structured instructions and who relies on vague one-liners.

Strengths & weaknesses

Get an overall submission summary for each candidate — what they did well (e.g. adhered to SOLID principles) and what they missed (e.g. no app-wide error handling).

Compare side-by-side

Select candidates and compare their graded prompts, overall grades, and submission quality in a single view. Make hiring decisions backed by data.

Submission-level grading

Beyond individual prompts, each candidate receives an overall submission grade based on prompt quality, architectural decisions, and how they handled AI output.

Track & Grade

See how candidates really use AI

Code Jack logs and grades every prompt a candidate sends during their assessment. See at a glance who writes precise, well-structured prompts and who leans on vague one-liners — then compare overall strengths, weaknesses, and submission quality across candidates.

Compare candidates:
Sarah Chen
B+
Prompt Log
14:15:23B+

Create a service that fetches user profiles and their recent orders from our API, with proper loading and error states.

Good specificity — requested error handling and loading states upfront

14:28:45A

Add a notification system that shows success and error alerts when API calls complete. Use a context provider so it works across all pages.

Requested app-wide architecture from the start

14:42:12B

Build a reusable data table component that supports sorting, filtering, and pagination.

Solid requirements but didn't specify type safety or accessibility

Strengths
Requested error handling in every prompt
Set up app-wide context for notifications
Asked for reusable component architecture
Caught loose equality from a jacked prompt
Weaknesses
Did not specify type-safe generics for data table
No mention of testing or accessibility
Missed the mixed fetch library anti-pattern
Marcus Johnson
C
Prompt Log
14:18:07C

Write a function to get user data

Vague — no mention of error handling, loading states, or API structure

14:31:22C

Make a table with sorting

Minimal detail — no filtering, pagination, or reusability requirements

14:45:18C+

Add error handling for the payment flow

Right area but no specifics on failure scenarios or retry logic

Strengths
Completed all required tasks within time
Fast iteration speed across prompts
Weaknesses
Vague, unspecific prompts throughout
Accepted all AI output without review
Did not set up app-wide state management
Missed every anti-pattern from jacked prompts
No error handling requested until final prompt
Submission Comparison
B+

Sarah Chen

4 strengths · 3 weaknesses

C

Marcus Johnson

2 strengths · 5 weaknesses

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