Nine workshops. One new skill each week.

Each 3-hour session tackles one real productivity bottleneck, from inbox overload to running local models and building agentic workflows.

Workshop 01 — Inbox & Documents

Master native AI inside Gmail and Google Docs. Summarise long threads, extract key requests, draft context-aware replies, and generate structured documents from a single concept or rough note.

Outcome: A streamlined inbox workflow and a reusable library of document templates for rapid generation.

Workshop 02 — Voice & Meeting Intelligence

Stop manually writing up meetings. Use AI to transcribe, extract decisions, generate action items, and push them directly to your task manager — without opening a chat window.

Outcome: A live meeting workflow that auto-produces a summary, decision log, and delegated action items within two minutes of any call ending.

Workshop 03 — Output Control & Verification

Replace trial-and-error prompting with rigid frameworks that produce consistent, high-quality outputs. Learn how to detect hallucinations, when to trust an output, and a practical three-step review process.

Outcome: A personal prompt library with built-in verification checklists. Know when an output is safe to use and when it needs a second pass.

Workshop 04 — AI Second Brain

Use NotebookLM to upload proprietary documents and meeting notes, interrogate a closed data ecosystem, and extract precise citations. Learn how to structure a knowledge base for fast retrieval.

Outcome: A queryable knowledge base that retrieves insights exclusively from your uploaded materials, with a tagging and ingestion habit you can sustain long-term.

Workshop 05 — Wikis, SOPs & Voice-to-Doc

Transform voice notes, rough brain-dumps, and meeting recordings into standardised documentation. Build internal Wikis and draft SOPs starting from a phone dictation, not a blank page.

Outcome: Three finalised SOPs built from voice recordings, and a repeatable dictation-to-documentation workflow ready for immediate use.

Workshop 06 — Deep Research & Triangulation

Run the same research task across multiple AI tools, learn to triangulate diverging answers, and verify factual accuracy through cited sources. Covers market and competitor analysis.

Outcome: A well-sourced research brief on a complex industry topic, plus a personal tool-selection framework for future research tasks.

Workshop 07 — Running Models Locally

Run open-weight AI models entirely on your own hardware — no data leaving your machine, no subscriptions, no API costs. Covers model selection, quantisation basics, and privacy-sensitive tasks.

Outcome: A locally running model configured for a real use case (document Q&A, code review, or confidential drafting), with a clear understanding of its performance ceiling.

Workshop 08 — Agentic Workflows

Move beyond single-step AI prompts to autonomous multi-step workflows that run in the background. Covers the full 2026 agent landscape — from native integrations to low-code orchestrators.

Outcome: A live multi-step automated workflow handling a real use case, plus a decision framework for choosing the right automation tool.

Workshop 09 — AI Risk, Privacy & Staying Current

The judgment layer no other course teaches. Covers what you should never upload to a cloud AI tool, Swiss nFADP and GDPR exposure, hallucination risk, and a practical system for staying current.

Outcome: A personal AI risk checklist, a data classification habit, and a repeatable system for evaluating and adopting new tools without drowning in noise.

AI Productivity

Beyond memes. Real skills.