Verified profile
Experience, skills and professional evidence become a reusable foundation instead of forcing the user to start from scratch for every application.
Case study · Product engineering · 2026
CVERIO
A product that starts from verified experience and job requirements to build a targeted CV while keeping every change under the user's control.
Private betaVisit Cverio.com
RoleProduct · UX · Engineering
PlatformWeb app
FocusCV · AI · Document generation
StatusPrivate beta
01 · The problem
A strong profile.
Not always the right CV.
Skills may be solid and experience relevant, yet a generic CV often fails to make the connection with what a company is actually looking for.
Cverio is designed to close that gap: start from verifiable professional information, compare it with a specific opportunity and help the user build a more targeted CV without inventing experience, roles or skills.
02 · The product
From profile
to ready-to-send CV.
The flow clearly separates what the user has actually done from what AI suggests should be highlighted.
Opportunity analysis
The job description is compared with the profile to surface strengths, gaps and content that deserves more visibility in the CV.
Generated CV
Approved changes are turned into a complete new CV ready to use, producing real document output rather than a report of suggested edits.
03 · AI under control
Improve relevance.
Do not invent.
AI does not replace the user's professional history: it works inside a boundary of available evidence and explicit suggestions.
Match & gap analysis
Understand what matters for that role.
The system connects job requirements, experience and skills to identify what is already strong, what is partial and what is not supported by the profile.
Controlled generation
The new CV uses only approved content.
The user stays in control of proposed additions before final generation. The goal is better relevance and clarity without turning AI into a factory for non-existent experience.
04 · Engineering
Real documents.
Real controls.
The beta separates user data, AI orchestration and document generation, keeping sensitive operations exclusively on the server side.
Core stack
Next.jsReactTypeScriptSupabasePostgreSQL + RLSOpenAI Responses APIZodDOCX + PDFVercel
Adaptation flow- 01Profile
- 02Job offer
- 03Analysis
- 04Selection
- 05Approval
- 06Generation
- 07DOCX / PDF
- 08Audit
05 · Trust by design
The CV remains
the user's.
When AI changes a professional document, transparency and control are product requirements.
- 01
No invented professional experience
- 02
Explicit approval of proposed changes
- 03
AI calls kept server-side
- 04
Private storage and RLS policies for user data
- 05
Structured output validation before use
- 06
Technical logging, audit and AI usage controls
06 · My role
From concept
to private beta.
Cverio started from a concrete problem: adapting a CV to an opportunity without losing authenticity or turning every application into repetitive manual work.
I drove product definition, UX, application architecture, AI integration, data security and document-generation pipelines, iterating until the product worked end-to-end.