A course built by someone
who ships this stuff daily.
You're not looking for someone who reads from a script. You're looking for someone who builds n8n workflows, Claude Code projects, and AI agents every day — and can teach what they actually do, in fluent English, on camera. Here's the production process for a course that feels real because it is.
The production pipeline. Lesson by lesson.
Most AI courses sound smart but show stock screenshots, mock builds, or rambling theory. This pipeline is engineered against each of those failure modes — every lesson teaches by doing, every example is a real automation. Hover any node to see what it replaces and how it works.
What you get. Phase by phase.
Every phase ships with concrete deliverables you can verify against. No vague "course development hours" — each phase has a defined output you sign off on before the next begins.
- Target audience defined — beginner-friendly default with optional intermediate deep-dives
- Module structure with sequenced lessons (each builds on the last)
- Tool coverage map — Claude Code, n8n, AI agents, APIs, automation platforms
- Course outline approved by you before any recording starts
- First 4–5 lessons recorded — establishes format, tone, pacing, visual quality
- Buyer review checkpoint after first 2 lessons — adjustments before continuing
- Real builds: intro Claude Code project, basic n8n flow, working API integration
- Lesson length: 5–15 minutes each, digestible by design
- Multi-tool workflows — n8n + Claude Code + APIs in combination
- AI agent builds — agentic patterns, tool use, multi-step reasoning
- Real production patterns — error handling, observability, cost controls
- Each lesson includes the source files (n8n workflows, project files, prompts)
- Light edit pass — cut dead air, fix obvious flubs, add chapter markers
- Lessons organized into modules with consistent naming + progression
- Module index + lesson notes for each section
- Delivered as MP4 files (or your preferred format / platform)
- Full course delivered — modules, lessons, source files, documentation
- Recommended cadence for module updates (AI tools change monthly — Claude Code, n8n, model releases)
- Optional ongoing-update retainer if you want me to keep the course current
- All source files included — you can extend the course yourself without coming back to me
Four weeks. Curriculum to delivery.
Each week ships a working deliverable. Mid-recording review checkpoint protects against off-track investment.
Curriculum + Foundation Start
Audience locked, module structure approved, first 2 lessons recorded for review checkpoint.
Foundation
Foundation Modules Complete
First 4–5 lessons fully recorded. Format and pacing locked. Ready for advanced module work.
Foundation Done
Advanced Modules Recorded
Remaining 5–7 lessons recorded — multi-tool workflows, AI agents, production patterns.
Advanced
Edit + Assembly + Delivery
Light edit pass, module assembly, documentation, full course delivered with source files.
Delivered
Let's talk audience, scope, and pacing.
The Loom that came with this proposal is my actual teaching voice and English fluency in action — that's the proof of concept. Send me a few times you're free this week and we'll discuss the target audience, the right module count for your goals, and what success looks like at the end of week 4.