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

