Build Ledger is a bridge between fast AI-assisted development and clear communication. It captures the evidence behind the work so collaborators can understand what changed and why.
Prototype planned / project study
Build Ledger
How might fast AI-assisted building leave behind trustworthy process evidence?
Connects Wanling's AI coding process to design communication: decisions, evidence, risks, and outcomes.
A designer-builder finishes a prototype session. The code moved quickly, but the decisions, tests, screenshots, and unresolved risks need to become a readable project story.
AI-assisted building produces momentum, but the reasoning trail can disappear. This project captures the process in a way collaborators can review.
Design decisions
What the interface needs to make clear.
Turn logs into narrative
Raw artifacts are useful, but not readable. The interface groups them into intent, decisions, evidence, and next steps.
Make verification visible
Tests, screenshots, and review notes sit beside the claim they support, helping others trust the work.
Keep risk in the open
Unresolved issues are not hidden. They become part of the handoff, which makes the process more professional.
Prototype flow
How someone would move through it.
Capture the session
The tool gathers changed files, command output, screenshots, and notes.
Organize the evidence
Artifacts become a timeline with decisions, verification, and open risks.
Draft the case study
The session is summarized into a clean narrative that can be edited for a portfolio or team update.
Interaction model
How the experience works
- Build timeline organizes intent, decisions, and changed files
- Evidence cards connect tests and screenshots to claims
- Risk notes keep unresolved questions visible
- Case-study draft turns raw process into recruiter-ready storytelling
Prototype plan
How it becomes real
- Local session summary from git and terminal artifacts
- Evidence timeline with screenshots and test output
- Risk and decision tagging
- One-click case-study outline export
What to notice
Why this project matters for Wanling's profile.
- Shows how Wanling uses AI coding responsibly, with verification and communication.
- Connects engineering process to UX storytelling.
- Makes rapid prototyping feel trustworthy and collaborative.
The next build should parse a local git session, attach screenshots, and export a first case-study draft.