Rolling enrolment

The AI productivity course for people with a real job

Most AI courses hand you a tool tour and a certificate. This one is built around your actual work: one live session a week, four practical tracks, and a library of prompts and workflows you can use the same day.

7 days free, then $49/month — cancel anytime, never charged during the trial.

What you will be able to do

  • Write prompts that hold up on real work, not demo tasks
  • Rebuild one weekly task with an AI assistant and measure the time saved
  • Decide correctly between a simple automation and an AI agent
  • Build a multi-step workflow that runs without you watching it
  • Use AI coding tools to build the small internal tool you keep wishing for
  • Keep up with new models and tools in under 20 minutes a week

The curriculum

Four tracks, each a sequence of topics you work through at your own pace, with office hours to unblock you.

Track 1
AI Foundations & Prompting

The bedrock: how the models think and how to talk to them.

  • How LLMs work, capabilities and limitations
  • Choosing a model: ChatGPT vs Claude vs Gemini
  • Prompting frameworks (role, context, task, format, constraints)
  • Iterative vs one-shot prompting, few-shot examples
  • AI for research, writing, and decision support
  • Personal AI stack and data privacy basics
Track 2
AI Workflows & Automation

Turn one-off prompts into systems that run without you.

  • Automation vs agents: when to use each
  • Zapier, Make, and n8n fundamentals
  • Building multi-step AI-powered workflows
  • Self-hosted agents with memory (n8n/LangChain)
  • Connecting AI to CRM and lead-gen pipelines
  • Error handling, monitoring, and cost control
Track 3
Vibe Coding & AI-Assisted Development

Build real software by directing AI, not writing every line.

  • What vibe coding is in 2026 (and its shift toward "agentic engineering")
  • Tool landscape: Lovable, Bolt.new, Replit, Cursor, Claude Code, GitHub Copilot
  • No-code app building vs agentic/developer coding
  • Context engineering and giving agents the right information
  • Spec-driven development (writing specs before generating code)
  • Long-running agent tasks and multi-step delegation
  • Reviewing AI-generated code: security, quality, technical debt
  • Deployment basics (hosting, environment variables, monitoring)
Track 4
Staying Current

Keep pace with a field that changes every week.

  • Weekly AI model and tool release roundups
  • New coding, automation, and agent tool comparisons
  • Pricing and platform shakeups
  • Emerging use cases and workflow patterns
  • Member project show-and-tell
Learn by doing, weekly
Each week you bring a real task. Office hours are where we build the prompt or workflow together, live, until it works.
Four tracks, no filler
Foundations and prompting, workflows and automation, vibe coding, and staying current. Work through them in order or jump to what you need.
Everything reusable
Guides, templates, checklists and a prompt library you can copy and download, so every session leaves you with an asset.

Start with this week's session

Enrolment is rolling, so you begin with the next Wednesday office hours and the foundations track. Save an hour a week and the membership pays for itself.

Join the course

Want a taste first? Read the learn AI for work guide or the blog.