Building an AI career assistant around proof of work
Turning career evidence into portfolios, CV updates, and interview stories.
Overview
The product context
I built the Portfoliio web and mobile products to help professionals turn CVs and daily work records into stronger evidence of their impact.
The problem
What made this worth solving
Professionals often forget what they achieved, struggle to explain their work, and update career materials only when an opportunity creates urgency.
My role
Ownership, contribution, and boundaries
I designed the concept and customer journey, built the web and mobile products, and created AI workflows that structure unstructured career information into practical outputs.
- Designed the product concept and customer journey
- Built the web and mobile product
- Created AI workflows for structuring career information
- Tested positioning around CV generation, work logging, and proof of work
- Used early validation behaviour to refine the long-term product thesis
Key insight
The durable value is not a one-time AI-generated CV. It is a continuously updated evidence system that helps professionals remember and communicate their work.
Approach
How the work moved forward
- Framed the problem around professional evidence rather than document generation
- Designed an initial CV upload and information-structuring journey
- Built AI-assisted outputs for career storytelling
- Observed early upload behaviour and positioning response
- Expanded the concept toward an ongoing work record
Outcome
What the work enabled
- Validated early interest through 139 CV uploads
- Built working web and mobile product foundations
- Clarified the stronger product wedge: a living system of professional evidence
Reflection
What I carry into the next product
- AI output quality depends on the structure and quality of the underlying evidence.
- A recurring work log offers more durable value than a one-off document generator.
- The best positioning connects an immediate job-to-be-done with a longer-term habit.