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02 / AI-ASSISTED CREATION

AkmefolioAI-assisted portfolio builder

A conversational portfolio-building prototype that starts with the work someone already has. I explored how an AI workspace could help people find evidence and shape a case study without making decisions invisibly.

Product prototype in development
Akmefolio review workspace with synthetic example material

What I brought

Product framing, workspace UX and AI-assisted implementation.

BUILD PROCESS

How I built it

  1. 01

    Begin with evidence

    Bring existing project material into a conversation-led workspace, with source cards visible alongside the discussion.

  2. 02

    Separate intent from action

    Replace an expanded source list with a compact chooser. Let selection prepare the context, while an explicit Send commits the request.

  3. 03

    Resolve the small frictions

    Refine navigation, menu dismissal, user identity and mobile touch targets so the prototype feels like one connected product.

KEY DECISION

Selecting a source should not send a message.

Choosing a document and asking the assistant to use it are different intentions. Keeping Send explicit gives the user control over the next step.

A clear place to begin
A clear place to begin

Actual prototype capture. An empty workspace explains how to bring existing work into the conversation.

One next step on mobile
One next step on mobile

Actual prototype capture with fictional example content. The conversation records contribution before asking the user to shape a story.

The source stays inspectable
The source stays inspectable

Actual prototype capture. The source reader retains context and limitations alongside the conversation. The CV shown is a synthetic test example.

Actual development captures with synthetic example material. Prototype status does not establish complete analysis or deployment capabilities.