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  • Creative sketchbook
  • AI mobile concept

Palettra

A creative sketchbook for guided visual variations, extracted palettes and searchable personal studies.

Palettra product concept in a branded setting

Designed around4 AI workflows

Project overview

Palettra explores creative sketchbook through a mobile experience built around an edge-to-edge sketch canvas with floating tool puck. A creative sketchbook for guided visual variations, extracted palettes and searchable personal studies. The proposed journey connects sketch canvas, variation lab, color finder, project folio. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed Swift architecture.

The challenge

Artists need generative exploration that preserves their sketch and clearly separates suggested variations from the original. On a phone, the person also needs to capture information quickly, understand where an answer came from and return to the original material without navigating through a dense desktop interface.

  • Keep sketch canvas and variation lab connected within a short mobile flow.
  • Make sketch-guided variation correctable when the model misreads the input.
  • Explain reference retrieval through visible references or user-selected preferences.
  • Keep changes, sharing and data retention under explicit user control.

Our solution

The design begins with an edge-to-edge sketch canvas with floating tool puck, using large touch targets, short task sequences and contextual sheets. Generate exploratory treatments from the artist's chosen drawing. Suggest colors from a reference photo for manual adjustment. The companion views keep drafts, original material and accepted decisions distinct. A ink, ultramarine and warm white visual system gives this app its own character within the collection.

  • Generate exploratory treatments from the artist's chosen drawing.
  • Suggest colors from a reference photo for manual adjustment.
  • Find related studies within the user's own sketch archive.
  • Turn a short creative direction into editable variation controls.

Key features

  • Sketch canvas

    Review an original botanical line drawing with a compact tool puck and layer strip.

  • Variation lab

    Review three AI composition variations beside the original sketch with Preserve outline control.

  • Color finder

    Review a camera-derived palette with editable swatches and matching saved studies.

  • Project folio

    Review sketch versions, process notes, reference images and export choices.

  • Sketch-guided variation

    Generate exploratory treatments from the artist's chosen drawing.

  • Palette extraction

    Suggest colors from a reference photo for manual adjustment.

  • Reference retrieval

    Find related studies within the user's own sketch archive.

  • Prompt refinement

    Turn a short creative direction into editable variation controls.

  • Layer history

    Retain the original drawing beside generated explorations.

  • Reference boards

    Collect imagery for a specific creative project.

  • Favorite studies

    Save selected variations to the sketch archive.

  • Export options

    Choose the artwork and process notes to export.

Proposed technology stack

Proposed iOS architecture using Swift and SwiftUI. AI processing, storage and synchronization are design proposals for this concept, not integrations implemented by this portfolio.

  • Swift
  • SwiftUI
  • Core Data
  • AI services

The results

The concept defines four mobile views, four AI workflows and twelve feature areas. The next validation would ask a user to complete sketch canvas, inspect the proposed variation lab output and correct an intentional extraction or suggestion error. Evaluation would focus on source traceability, correction effort and task completion. No usability study or business-impact measurement is claimed.

  • 4Original mobile showcase views

  • 4Proposed AI workflows

  • 12Designed feature areas

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