Unlockian Career OS
The technical manual for the world's first platform that transforms Education into verifiable Work Experience. Below is the complete architectural blueprint.
Phase 1: Knowledge Services
Foundational knowledge verification logic.
Purpose: Manages structured learning paths and content delivery.
Courses designed to build specific, job-ready skills (e.g., "Full Stack Dev").
Mandatory quizzes to verify your understanding before moving forward.
Earn a "Skill Badge" that proves you actually did the work.
Unlike standard LMSs, this app indexes external high-quality content (YouTube, Documentation) and wraps them in a verification layer. It tracks "Watch Time" and "Concept Check" quizzes to ensure the user is ready for the Work phase.
- Progressive Unlocking: Modules are locked until the previous one is verified.
- Content Indexing: We search & embed projected-related videos.
Purpose: Delivers daily micro-learning updates.
A feed algorithm that serves 3-5 minute technical snippets. Users must pass a "Comprehension Check" to mark a bite as consumed. This builds the "Continuous Learning" score.
Phase 2: Corporate Simulation
The core engine. Converting knowledge into code and documentation.
Purpose: The "Project Manager" system. Replaces homework with Tickets.
AAMS isn't just a list. It is a state machine:
- State Aware: Pending -> In Progress -> Code Review -> Validating -> Complete.
- Dependencies: Prevents starting Task B until Task A is verified.
Purpose: Middleware between Unlockian and the Git Server (Gitea/GitHub).
- Repo Provisioning: Auto-creates repos from templates using API.
- Branch Protection: Enforces "No direct push to main" rules.
- Commit Analysis: Parses messages for Conventional Commits format.
Purpose: Institutional Knowledge Base (like Confluence).
Students must act like Senior Engineers by documenting their decisions. Articles are linked directly to AAMS tickets. This prevents "copy-paste" coding by ensuring understanding.
Phase 3: Validation & Hiring
Synthesizing work history into hireable assets.
Purpose: The "Truth Engine". Validates all claims made on the user's profile.
Runs nightly jobs to cross-reference data:
- Does the "React Skill" have backing Git revisions?
- Does the "Project X" completion have a passing CI/CD build?
- Is the Technosphere article plagiarism-free?
Purpose: Scalable first-round technical screening agent.
An AI Agent that conducts a voice-based interview. It feeds dynamic questions based on the candidate's actual Git commits (e.g., "I see you used Redux in commit 4f2a. Why?"). Scores on technical accuracy and communication.
Purpose: Auto-generates a "Verified Resume" PDF.
Learners cannot edit the "Verified" sections of their resume manually. It is purely data-driven, pulling from AAMS and BGV records to create a 100% truthful document for employers.