Technical Depth

State-of-the-art
applied systems architecture

Not a list of tools. A set of integrated capabilities β€” each one applied where it creates real leverage in a system.

Architecture Layers

How systems are built

Each layer serves a specific function. The value comes from how they connect.

πŸ€– AI Layer

  • OpenAI GPT β€” reasoning, structuring, content generation
  • Claude β€” complex analysis and long-context tasks
  • OpenAI Vision β€” image understanding, object detection
  • Structured output design β€” JSON schemas, typed responses
  • Decision logic β€” rule-based and model-assisted routing
  • Prompt engineering β€” domain-specific, production-grade

βš™οΈ Automation Layer

  • Make.com β€” multi-step workflow orchestration
  • Webhook systems β€” real-time event-driven triggers
  • Error handling β€” retry logic, fallback routing
  • Conditional branching β€” multi-path pipeline logic
  • Scheduled operations β€” time-based automation runs
  • Cross-system data routing β€” API to API flows

πŸ—„οΈ Data Layer

  • Airtable β€” relational data modeling, linked records
  • Google Sheets β€” lightweight tabular workflows
  • Structured schema design β€” consistent field architecture
  • Data normalization β€” cleaning, deduplication, enrichment
  • Real-time sync β€” cross-platform inventory and record management

πŸ–ΌοΈ Media Layer

  • Cloudinary β€” image processing, CDN delivery, transformations
  • Background removal β€” AI-assisted subject isolation
  • Auto-crop and format conversion β€” platform-specific optimization
  • OCR pipelines β€” image to structured text extraction
  • Video processing β€” format adaptation, transcription integration

πŸ”Œ Integration Layer

  • REST API integration β€” authentication, rate limiting, pagination
  • Marketplace APIs β€” Shopify, eBay, Amazon SP-API
  • Social platform APIs β€” YouTube, Meta, TikTok, LinkedIn
  • Scraping systems β€” Apify, custom extraction workflows
  • External data sources β€” Discogs, legal databases, product APIs

πŸ—οΈ Infrastructure

  • GitHub β€” version control, deployment workflows
  • Netlify β€” static hosting, form handling, edge delivery
  • AWS-oriented architectures β€” Lambda, S3, Elastic Beanstalk
  • Docker / containerized workflows
  • Python β€” automation scripting, data processing, prototyping
  • Embedded systems β€” Arduino, sensor integration
How It Comes Together

A system is more than its parts

The value of applied systems architecture is in integration β€” not in any individual tool. The following shows how a complete system typically flows.

πŸ“₯
Input Layer
APIs, files, events
βš™οΈ
Automation
Make.com orchestration
🧠
AI Processing
GPT / Vision / Claude
πŸ—„οΈ
Data Storage
Airtable / structured DB
πŸ“€
Output
Publish, deliver, alert

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