Yaser Nazzal’s newly launched AI-assisted product design service combines image generation, design-system creation and an improved delivery workflow from exploration through handoff. Each engagement defines inputs, tools, review points, editable deliverables and exclusions before work begins. It supports product design delivery without claiming production AI engineering, model training, security review or promised automation savings.
The service structures AI-assisted image exploration, design-system creation and workflow planning around a defined product design brief. Before work starts, the engagement will document source materials, intended uses, review responsibilities, editable outputs and exclusions.
It can support a team that needs visual directions, reusable interface foundations or a clearer route from early exploration to developer handoff. The team remains responsible for product decisions, approvals and implementation.
Deliverables can include prompt directions, generated image options, selected and refined visual assets, usage notes and editable source files when the chosen tool supports them. Approval checkpoints will separate exploration from final selection so the team can review suitability before assets move into product designs.
The engagement can define foundations, components, variants, states, patterns and documentation in Figma. Scope will be agreed before creation, including which screens and components are included and what remains for the product team.
The workflow will map inputs, exploration, review, refinement, documentation and handoff. Each stage will identify the source material, working file, reviewer and acceptance point. This keeps generated material editable and traceable within the design process.
Figma and Adobe Creative Cloud support visual exploration, refinement and editable design files. Claude, Claude Code, ChatGPT and Codex support documentation and workflow planning, with human review at every agreed checkpoint.
