SAMPLE REPORTSynthetic data · fictional candidate

Fictional data. The score assesses the CV against the selected level.

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Sample CV report

Fictional example · AI / LLM Engineer

73/100
Needs work
OVERALL CV COMMUNICATION QUALITY

The project, personal contribution and checks support a first-job application.

CV PROFILEAI / LLM Engineer
Application targetFirst job in tech
FIRST 20 SECONDSINTERVIEW
DOCUMENT PERCEPTION

Based on the CV's content and structure. This is not an assessment of the person.

The score describes CV quality against the application target. First job in tech.

01

How the CV shows preparation for a first role

CV PROFILE

The project, personal contribution and checks support a first-job application.

What supports this impression

What creates doubt

What they may ask

1
How did you choose test questions and identify incorrect answers?

Clarifying the documented check.

02

FIRST 20 SECONDS

05

After 5 seconds

AI / LLM Engineer

10

After 10 seconds

The project, personal contribution and checks support a first-job application.

20

After 20 seconds

The description identifies 20 test questions and retrieval improvements after incorrect answers. API integration does not mean model training.

SIMULATED OUTCOMEINTERVIEW

This is a simulation of the first impression created by the document, not a real hiring decision or a prediction for a specific application.

03

Evidence of preparation for the role

Project functionality and quality

The assistant cites sources and refuses answers when no source is available.

74/100
Your project contribution

The CV separates personal work from course instructions or help from others.

74/100
Technical fundamentals and practice

The description identifies 20 test questions and retrieval improvements after incorrect answers. API integration does not mean model training.

74/100
Project structure and decisions

Citations, refusal and document isolation show decisions at project scale.

74/100
Collaboration and use of feedback

Discussing errors with a mentor led to correcting the user filter.

74/100
CV clarity and project descriptions

The summary does not highlight the concrete project

70/100
04

What weakens the document — evidence before opinion

MinorHighlight01

The summary does not highlight the concrete project

TO IMPROVE

The summary does not highlight the concrete project

WHY IT MATTERS

A concrete project makes the profile easier to recognise.

WHAT TO DO

Move the project and personal contribution above the course or tool list, preserving its educational or personal context.

EVIDENCE FROM THE CV
Goal: first job as an AI / LLM Engineer. Course project: a documentation assistant in Python. Following course instructions, connected a pretrained model API to retrieval from a vector database. Independently added source citations, refusal when no source is available and user document isolation. Prepared 20 test questions, including questions unanswered by the documentation; checked citations and improved retrieval after incorrect answers. Discussed incorrect answers with my mentor and corrected the user filter. Local project, no commercial experience. Did not train or fine-tune the model. Summary: interested in AI technologies. Courses: Python and LLMs.
Confidence: high · Preserve facts and contribution attribution.

Strong signals

Project-backed practice

The description identifies 20 test questions and retrieval improvements after incorrect answers. API integration does not mean model training.

Action plan

FROM REPORT TO REVISION

How to revise your CV

The report identifies what to clarify and improve. You choose the wording and are responsible for its accuracy.

  1. Establish the facts

    Review the cited CV passages and specific advice. Identify your own work, the support you received and what you can confirm. Check anything you cannot remember.

  2. Revise in your own words

    Clarify the description yourself using the recommendations. Include only true information. If the advice concerns something you have not done, do it before adding it to your CV.

  3. Recheck the new version

    Read the whole CV, save the revised PDF or DOCX and upload it for another analysis. Compare findings and evidence as well as the score.

A clearer description does not guarantee a higher score. The score depends on the information shown in the new document.

What does your CV communicate?

See your free result and most important evidence.

Review your CV
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