Case study

AI-assisted Development Workflow

AI workflowPublicWorkflow governance case

Workflow case for AI-assisted documentation, review, test planning, version management, and public/private knowledge boundaries.

Problem

Generated notes, AI-assisted code review, and resume data need trust levels, redaction rules, and version management before they are used in resumes or public portfolio pages.

Approach

Show a public-safe workflow from raw/private evidence through reviewed claims, sanitized public content, and protected interview-kit generation.

Public Evidence

Versioned resume-data workflow with goal, roadmap, changelog, and redaction boundaries.
Claim lifecycle separates raw evidence, public claims, role-scope confirmation, and final resume bullets.
Protected interview-kit architecture keeps detailed evidence out of the static public bundle.

Redaction Boundary

No raw AI transcripts, private wiki pages, credentials, private workspace paths, or source evidence exports.
Public examples describe the workflow pattern rather than private contents.

Verification

goal and workflow documents added
content boundary reviewed
public/private split documented

Evidence focus: Claim review, redaction, versioning, and protected interview-kit handoff.

Screens

S-AI-001Public-safe

raw evidenceprivate reviewpublic claimrole variant

rawrole-confirmpublic-safe

versioned AI-assisted knowledge governance

Resume Claim Lifecycle

Show raw evidence moving into reviewed claims, public-safe content, and target-role variants.

Target: Reviewer evaluating AI-assisted workflow governance.
Entry: AI-assisted workflow page.
Signal: versioned AI-assisted knowledge governance
Boundary: No raw transcripts, private evidence, or private wiki exports.

S-AI-002Planned

public portfolioprivate sourceprotected outputredaction checklist

draftreviewedprotected output

public/private separation and release governance

Protected Interview Kit Handoff

Describe how detailed Q&A and evidence maps are generated outside the public bundle.

Target: Reviewer evaluating content-boundary discipline.
Entry: AI-assisted workflow page handoff section.
Signal: public/private separation and release governance
Boundary: No protected interview materials are committed to the public repository.