AI to revamp your resume: is it a paid tool worth?

AI to revamp your resume: is it a paid tool worth?

Overview

After reading a Linkedin Top Voice post, I got curious about her suggestion of using an AI tool to help revamping the resume. The website is called https://resumeworded.com/.
The website offers three main services:

  • Resume check - It analyzes the CV and produces a score and recommendations about it
  • LinkedIn profile check - Same as the resume, but with the LinkedIn profile
  • Resume targeting - Given a job description, it tells how far the resume is from it

This post is about my experience with it.

Free vs. paid versions

For each voice, there is a free and a paid version. The former offers the most basic checks, while the latter dives a lot deeper in the analysis.
I first played aroud with the free offer, and then decided to buy a one month subscription for the full version, to give it a proper try (full details on costs in the conclusions).

Check deep dive

Let’s dive into all the available checks.
If you’re interested in the conclusions you can skip this section, but you’ll miss all the differences between paid and free version. In order to give an order of magnitude, I’ve hid the paid checks behind a clickable dropdown.

Click on Read more for the full details

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And then there were one (account)

And then there were one (account)

Requirement

Once that the pipeline has been put in place for the main url, I needed to get rid of the account that originally contained the marcoaguzzi.it domain. Instead of only closing the AWS account, I wanted to clean the account of all the resources I created in the attempts. This could also be useful when a test account is used and periodically it should be wiped out, in order not to incur in costs for the provisioned resources. This is well presented in this article: https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/automate-deletion-of-aws-resources-by-using-aws-nuke.html

Solution

One intersting tool is aws-nuke: it scans all the resources created in an AWS account and deletes them, if it’s allowed to.
The name sounds quite menacing, but there is a couple of caveats that will (should?) prevent the user from doing the irreparable damage.

How it went

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