Tailor the résumé.
Keep the facts.

Persuasive writing still needs a factual basis.

Tailoring a résumé means choosing relevant experience and explaining it for a particular role. AI can help with the wording, but it can also introduce a responsibility, technology, or result that was never part of the original experience.

Veritas explores how to make that boundary visible in the product.

A link between the statement and its source.

I’m developing an application that links generated statements to verified information in a user’s profile. The aim is to reduce unsupported claims and make the resulting résumé easier to review.

1. 01

   Verified profile

   Start with the person’s actual experience.

2. 02

   Role context

   Identify what is relevant to the opportunity.

3. 03

   Generated statement

   Connect the wording to supporting profile data.

4. 04

   Human review

   Check the meaning and accuracy of the result.

Treat source data as part of the workflow.

The project uses Next.js and TypeScript for the web application, with Supabase and PostgreSQL for its data layer. The important relationship is between profile facts and the statements derived from them.

A source link helps someone review a claim; it does not by itself prove that the generated wording is accurate. That distinction is central to the product I’m working toward.

In development.

Veritas is under development. The current focus is linking generated content to profile data and keeping that relationship reviewable as the application evolves. The repository is available for a closer look at the implementation.