Deep Dive: Production Architectures

System Case Studies

Detailed breakdowns of production-grade systems focused on AI-first enrichment, agentic orchestration, and high-precision CTI.

Pattern: Problem → Architecture → Outcomes
SYSTEMS_INDEX

Active Portfolio

System 01 AI-First CTI Pipeline Ingestion & Enrichment System 02 Phishing Triage Layered Heuristics [WIP] System 03 Agentic Orchestrator Routing & Tools [WIP]
READING_GUIDE

Design Philosophy

  • Constraints over Hype
  • Bounded AI Subsystems
  • Schema-First Logic
  • Operational Traceability
CASE_STUDY_01

AI-First Cyber Threat Intelligence Pipeline

Pattern: ingestion → enrichment → storage → consumers

Discuss Design

The Problem

Converting high-volume heterogeneous cyber content into reliable intelligence analysts can trust. The challenge is not summarization—it’s precision, consistency, and operational scalability at token-budget constraints.

Key Architectural Decisions

  • Schema-first extraction: Strict JSON constraints for high precision.
  • Multi-stage gating: Minimize AI spend by classifying relevance early.
  • End-to-end traceability: Storing prompts, versions, and run artifacts.
PIPELINE_FLOW
Source Scraper
Signal Triage
LLM Enrichment
Graph Store
SYSTEM_02 // COMING SOON

Phishing Domain Triage

Layered heuristics and explainable outcomes for high-volume domain classification.

SYSTEM_03 // COMING SOON

Agentic Orchestrator

Microservice boundaries, Redis queues, and reliable tool-prediction routing.