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