This is not a course you watch. Every session ends with something you built. Every day ends with a capstone you can show. You leave with 16 live projects, a personal AI stack, and a 90-day roadmap ready to execute from Monday morning.
of AI tools purchased by organisations are underused or abandoned within 90 days — not because of the technology, but because people were never shown how to think with it.
average productivity uplift for professionals who build a personal AI stack and integrate it into their daily workflow — versus those who use AI ad hoc.
live capstone projects you leave with — one built every single day. Not slides, not theory. Working tools, automations, and applications you will actually use.
The Promise
Most AI training shows you a list of tools. We do something different. We shift the way you think — so when the next tool drops, you already know how to evaluate it, adopt it, and stay ahead entirely on your own.
We teach you to audit, test, and adopt — not just install. Most professionals collect tools. Our graduates use them. The difference is a mental model for evaluating fit, not just following a list.
You leave with a stack built around your role, your habits, and your goals. Week 4 goes deep into your specific function — Finance, HR, Sales & Marketing, Operations, or Tech. The generic stuff ends in Week 3.
AI moves fast. The professionals who thrive are not the ones who take the most courses — they are the ones who can evaluate new tools themselves. That mental model is what you leave with here.
Who This Is For
Passive AI curiosity to active AI capability. No technical background required — only a willingness to build something every single day.
Programme Outcomes
Participants who complete the full cohort leave with six distinct, deployable outcomes — not certificates of attendance, but real capability shifts.
Use AI across text, voice, image, and code — without needing a technical team. You operate independently across all modalities.
Claude Code, Obsidian, Wispr Flow, Motion — plus access to Cocoon's curated library of 1,000+ tools across 40 categories, fully configured for your workflow.
Not just tool knowledge — the mental model to evaluate, adopt, and stay ahead as AI keeps evolving. Independent of any programme, indefinitely.
One completed, deployable capstone project every single day of the programme. Sixteen working tools, automations, and applications you built yourself.
Deep capability in the tools and workflows most relevant to your function. Week 4 goes entirely domain-specific — HR, Finance, Sales & Marketing, Operations, or Tech.
A personal implementation plan, peer-reviewed and ready to execute from Monday morning. Quick wins, habit formation, and a 90-day scaling plan structured and specific to your role.
The Core Stack
Every participant sets up and uses four anchor tools from Day 1. These are not optional add-ons — they form the operating system that runs beneath everything else in the programme, and long after it ends.
Write, debug, and deploy code without a developer background. Build automations, applications, and scripts through conversation. Your technical ceiling just disappeared.
Your personal knowledge base. Every prompt, workflow, and capstone is documented and searchable. Linked to your AI context so nothing you learn is ever lost.
Capture ideas, notes, and prompts hands-free, anywhere. Turns your voice into structured text across every application you use. Thinking out loud becomes an output.
AI-powered calendar and task management. Your schedule plans itself around your priorities. Stop managing your calendar. Let it manage you.
Curriculum
Every module is built around a daily capstone — something you make, deploy, and own. Browse each week below.
Week 1 establishes the two things that determine whether AI adoption works: the right mindset, and a mapped understanding of your current workflows. Only then do we introduce tools — starting with the four that anchor your professional AI practice.
Write your personal AI adoption manifesto — one page, your commitments, your barriers, and what success looks like in 3 months.
Complete workflow map with AI readiness scores for your top 10 weekly tasks.
Build a personal prompt library of 10 reusable prompts for your role.
Set up your full personal AI operating system — live, configured, and running by end of session.
Week 2 expands beyond text — into voice, image, and video as AI inputs and outputs. Participants build custom assistants grounded in their own data, deploy first automations, and produce a full creative campaign using generative AI.
Record a 5-minute voice memo, transcribe it, and convert to a structured 2-page professional brief using AI alone.
Build a custom AI assistant trained on your company context and role documentation — live and queryable.
Build a working automation that saves you at least 30 minutes per week — live, tested, and running.
Produce a complete 60-second AI-generated video advertisement — script, voiceover, visuals, and music.
Week 3 is where participants become builders. They deploy AI agents that work autonomously, publish live web applications, navigate the ethics of AI at work, and leave with a peer-reviewed 90-day implementation plan.
Design and deploy a working agent that handles one recurring workflow end-to-end without manual input.
Publish a live AI-powered web application solving a real problem in your domain — accessible via a public URL.
Draft a practical AI usage policy for your organisation or team — ready to share with leadership.
Present your 90-day AI roadmap — structured, peer-reviewed, and ready to execute from Monday morning.
Week 4 splits into domain-specific tracks. Participants join the track most relevant to their function and spend four focused days applying everything they have built to real problems in their industry. Each day goes deeper, with a live final capstone on Day 4.
Complete a domain workflow redesign using at least two track-specific tools — documented and presented to peers.
Deploy a domain-specific AI assistant that can handle a real colleague query — live demonstration to your track group.
Build and run a live automation that produces a real output your team would use — no manual steps required.
Present your domain-specific AI solution to the full cohort — a working product solving a real problem in your field.
Domain Tracks
Participants select one domain track on Week 4 Day 1 and stay with it for all four days — building tools and workflows that solve real problems specific to their function.
HR professionals, people operations teams, and talent leaders
Finance teams, accountants, analysts, and CFOs
Marketers, brand managers, content teams, and growth leads
Operations managers, supply chain teams, and process owners
Software developers, data teams, IT professionals, and technical leads
The next cohort is forming now. Maximum 40 participants. Apply early — seats are allocated on a first-come, first-confirmed basis.
Reserve Your Seat →Programme Format
No hidden extras. No upsells. Everything you need to become an autonomous, AI-enabled professional is inside the programme.
One cohort, sixteen days of live instruction, and everything you need to leave with a real AI practice — not just a certificate.
You do not need a technical background. You do not need prior experience. You need a willingness to build something every single day — and we will give you the tools to do exactly that.