Bring the books, workshops, online courses, and expertise you trust to life as AI advisors, employees, and workflows that move your business forward.
For coaches and consultants ready to put their knowledge to work.
Career coaching · Offer clarity
Original, prewritten example. No live AI connection.
A planned free experience
You’ve invested in courses, books, and workshops. Find one you can use to move your business forward.
Here’s how the planned experience would work. Email search, AI questions, and PDF downloads are not available yet.
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Answer a few questions about your business and what you want to get done.
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Your plan is the starting point. Build an AI advisory panel and staff to help you put it into practice.
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You bought the book. Attended the workshop. Started the online course. The ideas are there; the business work is still waiting.
But the offer still needs rewriting. The next post still starts from scratch. And every client still needs you.
What’s waiting on you?A closer look at the same three steps: a hypothetical career coach brings permitted knowledge, chooses offer clarity, and shapes a team to draft and review the work.
A career coach brings their own service notes and authorized source material. The starting offer: “Four one-to-one career sessions.”
One business question gives the knowledge a job: How do I make the value easier to understand?
The strategist asks for a concrete outcome. The buyer advocate challenges the evidence. The delivery lead asks what the coach can reliably support.
The result is a decision brief—with disagreements and gaps still visible. You decide what the team should pursue.
An AI employee receives the agreed outcome, source context, scope, and definition of done. It drafts the offer and the questions buyers are likely to ask.
A workflow can route the draft for review. It cannot approve its own promises.
A review brief puts the draft beside its assumptions and missing evidence. Keep it, change it, or send it back with a better question.
Now the next step is a real business decision—not another unread note. Publishing and client commitments stay with you.
Four one-to-one sessions
What will I walk away with?
Use your own expertise and source material you have permission to use.
Hypothetical case · prewritten concept · no model connection
Use your own supported AI account. Follow a guide to give your team a clear job, then try it on real work.
Planned experience · Guided setup and live integrations are not available yet.
Choose one job you need help with. Bring useful material from books, workshops, or online courses you have permission to use, plus your notes, transcripts, recordings, or videos.
Keep the useful ideas and where they came from together. NotebookLM is one option for organizing sources; an automatic connection is not available here.
Follow step-by-step guidance in your own supported AI account. Add your business context, choose each role’s job, and set the steps and checks it should follow.
Your advisors help you decide. They offer different views and question each other’s ideas.
Staff prepares the work.
A workflow connects the steps.
Start with one real task. Check the sources, read the draft, and use a review checklist to spot what needs changing.
You approve important actions. Adjust the instructions and try again. The aim is a useful process you can repeat.
For example: workshop notes → an AI advisor helps you choose a message → a content employee drafts an email → you review it before sending.
Original, prewritten example. No live AI is connected.
A simple kit to help you get started:
You would use your own supported AI account or key. Your AI plan or usage fees would be separate from AIchemism’s setup or delivery fees.
Supported tools are still being tested. Not every subscription will work. Scope, pricing, timing, and support are still being defined.
Start with one business question and knowledge you have permission to use. Different sources can lead to different kinds of useful work.
Original, hypothetical examples—not applications of a specific workshop or online course. All outputs are prewritten concepts for human review.
Follow the book example in more detailAn original application of value questions associated with $100M Offers by Alex Hormozi. A hypothetical career-coaching example—not a client result.
“Four one-to-one
career sessions.”
Describes the time.
Leaves the outcome unclear.
Career coaching built around tangible work—with the client’s preparation, the coach’s review, and the limits of the service made explicit.
Draft for coach review · No job guaranteeA usable résumé, clearer job-search positioning, and interview preparation. Define the work together; do not imply a guaranteed job placement.
Ask for relevant experience, a clear method, and evidence the coach can actually support. Flag missing proof instead of inventing it.
Identify a small, reviewable artifact such as a résumé diagnosis. Timing depends on the real service and is not promised here.
Their current résumé, target roles, relevant experience, and time for practice. The workflow can organize preparation; the client still participates.
Original paraphrase and application; no book text, checklist, or author endorsement is reproduced. Source: official book information ↗.
The result shown is a draft offer. Whether it improves inquiries, sales, or delivery must be tested in a real business.
Advisors help you choose what matters. Employees and workflows help carry it forward.
A draft post explaining why “four sessions” tells a buyer less than a clear description of the work.
Prewritten example. No publishing, messaging, or model connection.
The planned mobile and web app would connect your inputs to advisors, reusable AI skills, employees, and workflows. These are the working pieces it is intended to bring together.
Relevant sources connected to your actual business question, with permissions and context kept visible.
Advisor perspectives, reusable AI skills, employee responsibilities, and boundaries for what each role can decide or draft.
Inputs, handoffs, review checkpoints, and a clear definition of a usable result.
Drafts and decision briefs you can inspect, correct, and test against real work.
An existing offer or service. One recurring bottleneck. Your expertise, workshop notes, and permitted book or online-course material. Examples of what good work looks like.
Be ready to make decisions, review drafts, and test what changes.
Not designed to promise passive income, guaranteed clients, or a business that never needs you.
The same three steps in practice: add your knowledge, choose the job, and shape your team around a useful result.
Bring your expertise and permitted material from books, workshops, or online courses. Check source permissions and identify the methods relevant to your work.
Start with one real business question. Add your audience, service, constraints, and examples of a useful result.
Define advisor perspectives, reusable AI skills, employee tasks, and workflow handoffs. Review drafts, correct assumptions, and keep approval with you.
Human approval belongs in the workflow. Publishing, client messages, ad spend, payments, and customer commitments need explicit permission.
Different founders need different levels of help. These are delivery approaches under consideration, not available packages.
A training-led approach could help you define advisor roles, translate knowledge into briefs, and assemble workflows around your own business.
No checkout or signup is available in this concept. Explore the example and the preparation checklist to assess the fit.
Not yet. We are exploring guided setup in your own supported AI environment first. A future app may bring the steps together. This preview does not connect your account or process files, recordings, or videos. NotebookLM is one option for organizing sources, not a live integration here.
A reusable method for a specific task: relevant context, steps to follow, and a definition of useful output. The aim is to apply a method consistently across appropriate work, alongside advisors, employee roles, and workflows—with human review.
The aim goes beyond notes. Knowledge informs a panel’s questions and trade-offs, then becomes a bounded work brief, a draft, and a review process. A good council discussion can also be useful without automating the next step.
Only within the permissions that apply to the material and the way you intend to use it. Buying or attending alone is not blanket permission to upload, copy, distribute, or create a commercial AI product from someone else’s content.
No. The roles shown are fictional AI role concepts, not the real authors or experts. Every conversation and output on this page is an original, prewritten example. No model is connected.
The intention is to reduce repetitive work while keeping professional judgment and accountability with you. The system needs context, review, permission, and ongoing correction.
Pricing, timing, scope, support, and compatible tools have not been finalized. The delivery section shows possible approaches, not an offer you can purchase today.
No. The page shows possible work outputs, not verified commercial results. Sales and profit depend on your offer, market, execution, costs, and other factors. “Gold” is a brand metaphor.
Give it a question. Give your team a brief.
Keep the next decision in your hands.