Job pocket
Review a selected workshop job with component photograph and administrative checklist.
Back to work
- Workshop companion
- AI mobile concept
Benchlyra
A workshop companion for visual part matching, cited documentation search and reviewable job handovers.
Designed around4 AI workflows
Project overview
Benchlyra explores workshop companion through a mobile experience built around a photo-led work-order screen with step checklist. A workshop companion for visual part matching, cited documentation search and reviewable job handovers. The proposed journey connects job pocket, part finder, ask the manual, work log. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed Kotlin architecture.
The challenge
Workshop teams need to retrieve the correct drawing and record observations without turning generated text into authoritative repair instructions. 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 job pocket and part finder connected within a short mobile flow.
- Make catalog matching correctable when the model misreads the input.
- Explain voice logging through visible references or user-selected preferences.
- Keep changes, sharing and data retention under explicit user control.
Our solution
The design begins with a photo-led work-order screen with step checklist, using large touch targets, short task sequences and contextual sheets. Suggest visual matches within an approved component library. Answer administrative reference questions with page citations. The companion views keep drafts, original material and accepted decisions distinct. A graphite, amber and pale gray visual system gives this app its own character within the collection.
- Suggest visual matches within an approved component library.
- Answer administrative reference questions with page citations.
- Draft structured job notes from dictation.
- Summarize selected entries while linking the original records.
Key features
Inside the platform
Carry the job context to the workbench.
Original mobile interface concepts with fictional content. AI responses illustrate proposed interactions; they are not live model results.
Proposed technology stack
Proposed Android architecture using Kotlin and Jetpack Compose. AI processing, storage and synchronization are design proposals for this concept, not integrations implemented by this portfolio.
- Kotlin
- Jetpack Compose
- Room
- 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 job pocket, inspect the proposed part finder 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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