Welcome to the AI Systems Engineering Knowledge Hub

This is the AI Systems Engineering Knowledge Hub — a structured technical knowledge base documenting the architecture, patterns, and trade-offs behind autonomous AI systems built for production.

What's Published

The knowledge base now includes 12 engineering articles across systems, concepts, and projects — each with English and Bahasa Indonesia versions.

Systems

• Building a Restartable Long-Video Processing Pipeline — 16-stage deterministic pipeline with SQLite checkpointing
• MD-AME: Autonomous Media Engine — dimension-parameterized media production with PostgreSQL state machines
• Polymarket Trading Agent — Postgres event-bus trading system with probability hard gates

Concepts

• Deterministic AI Pipelines — idempotent workers and orchestrator-controlled stages
• Database-Backed State Machines — atomic transitions and crash recovery
• AI Orchestration Patterns — fixed-role sequential agents with canonical state
• LLM Guardrails — input sanitization, output validation, and advisory isolation
• How to Prevent Contradictions in AI-Generated Documents — section-sequential generation with coherence audits
• Designing a Deterministic Agentic Coding Orchestrator — task-based agent loops with checkpoint rollback

Projects

• MD-AME — autonomous YouTube production engine
• Polymarket Agent — prediction market trading system
• Portable AI Coding Knowledge with ARES — provider-neutral .ai/ standards

Browse the full catalog on the Articles page.