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Workflow

The Orchestration Layer

How I build with AI-accelerated workflows

User Intent

Natural-language requirement or idea

AI Director

Ora orchestrates agents & context

Claude Code + Cursor

Parallel implementation agents

GitHub

Automated commits & CI pipeline

Deployed

Live in production, zero-touch

11

Shipped Projects

Web, mobile, native iOS, and AI systems

6

AWS Courses

3 tracks · 18 days · Oct–Nov 2025

29

n8n Workflows

14 active · 261 nodes · fully automated

ora-terminal
$ ora init --project portfolio-site
[director] Analyzing project requirements...
[director] Spawning agent: claude-code (architecture)
[director] Spawning agent: cursor (implementation)
[claude-code] Generating component architecture...
[cursor] Writing 12 components in parallel...
[github] Committing changes: feat(hero): add 3D particle background
[deploy] Building... ████████████████ 100%
[deploy] Live at https://7n1.dev ✓

Live Production

n8n Automation Workflows

Real production workflows running on n8n Cloud. Each graph below is built from live workflow data: click to expand and explore the node topology.

29

Workflows

14

Active

261

Total Nodes

6

Integrations

Integrations:SlackGitHubClaudeChatGPTSupabaseInstagram
Jeff Michael Johnson — AI Workflow Architect, Design-Driven Full-Stack Engineer