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 Automation

73/100
Needs work
OVERALL CV COMMUNICATION QUALITY

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

CV PROFILEAI Automation
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 check duplicate submissions and API errors?

Clarifying the documented check.

02

FIRST 20 SECONDS

05

After 5 seconds

AI Automation Specialist

10

After 10 seconds

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

20

After 20 seconds

The description identifies 12 scenarios, validation and error checks. No-code n8n implementation is real practice.

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 workflow collects submissions and exposes their status; the outcome needs no invented time savings.

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 12 scenarios, validation and error checks. No-code n8n implementation is real practice.

74/100
Project structure and decisions

Validation, duplicate detection, retries and manual approval describe process structure.

74/100
Collaboration and use of feedback

Feedback from a peer led to correcting the duplicate condition.

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 Automation Specialist. Personal no-code project in n8n: a submission form feeds a spreadsheet, and a pretrained model API suggests a category and reply draft. Independently configured required-field validation, duplicate detection by submission ID, retry after API errors and a queue for manual review. Replies are sent only after human approval. Checked 12 scenarios, including empty data, duplicate submissions, API errors and incorrect categories; corrected the duplicate condition after feedback from a peer. Outcome: submissions are collected in one place with visible status. Local project, no corporate deployment and no Python coding. Summary: interested in improving work processes. Tools: n8n and spreadsheets.
Confidence: high · Preserve facts and contribution attribution.

Strong signals

Project-backed practice

The description identifies 12 scenarios, validation and error checks. No-code n8n implementation is real practice.

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
Full sample IT and AI CV report | CV Unfold