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automation pipeline.

EXHIBITION NOTICE: This monitoring dashboard is intentionally made public to demonstrate the raw automation pipeline and the sophistication of my digital alchemy workflow. It illustrates a multi-layered automation: GitHub Actions fetch repos daily, while Vercel hooks trigger Python AI scripts to parse research documents.

Antigravity AI Python 3 Google Gemini API Node.js GitHub Actions Private GitHub Vercel Build Hooks

Pipeline Architecture Walkthrough

Phase 01

Secure Push

Developer or autonomous agent commits source via encrypted SSH.

Phase 02

Antigravity Core

Autonomous AI agent detects changes & calculates project metrics.

Phase 03

Analytics Engine

Updates dynamic project counters directly in the source architecture.

Phase 06

API Gateway

sync-catalog.js contacts GitHub API to map new endpoints.

Phase 05

Actions Cron

Nightly auto-sync (01:00 WIB) kicks off the pipeline payload.

Phase 04

Private Vault

Secure storage of codebase logic in private GitHub repositories.

Phase 07

Vercel Hooks

Signals intercept push and trigger the Serverless environment.

Phase 08

VM Provision

Isolated build containers are dynamically spun up.

Phase 09

File Ingestion

sync-research.py parses new binary & text documents.

Phase 12

Mistral-7B

Tier 2 AI fallback via HuggingFace Inference if primary fails.

Phase 11

Gemini 1.5 Flash

Tier 1 AI Engine dissects payloads & extracts JSON metadata.

Phase 10

Base64 Encoder

Converts raw assets to clean transmission payloads for AI APIs.

Phase 13

State Matrix

All research and repo data aggregate into data.json memory.

Phase 14

Static Compiler

build.py packages optimized UI assets into the dist/ folder.

Phase 15

Edge CDN Live

Assets are propagated globally for sub-10ms latency delivery.

Fetching live execution logs from Edge...