A useful AI system starts with a job you can describe. For a coach, that might be turning a lesson into a video or answering the same question about your offer. Write down what goes in, what should come out, and who checks it.
Here is an example of how the four systems at Stacked Strategies can connect. It is a planning example, not a client result. You can build one part first.
1. Give your clone something worth saying
Start with one question your audience asks. Record your answer in your own words. Add the offer details, examples, and boundaries the system needs. A recording of you explaining a real problem gives the script more to work with than a page of brand adjectives.
Your AI clone uses approved material to help prepare content in your voice. Review the script before creating a take. Check the finished voice and likeness too. Keep claims tied to evidence, and use only recordings and likenesses you have permission to use.
The clone recording checklist helps you prepare the source material.
2. Give the editor a clear finish line
Hand your AI video editing workflow the approved take, the format, and an example of the style you want. Ask for a review cut with readable captions and a clear next step.
Watch the whole export. Check names, cuts, caption timing, music levels, and the link you mention. A clip that looks good for five seconds can still have a mistake at the end. Save the corrections so the next edit starts with better instructions.
3. Test the offer with a person in charge
An AI ads manager workflow can help organize research, creative variations, and reports. Give it an approved offer, a budget limit, and the action you want a visitor to take.
Before spending, follow the ad link on your phone. Does the page match the promise? Can you find the main button? Does it open the correct form or calendar? Confirm tracking and test the contact journey before calling the campaign ready. A person approves the creative, targeting, and spend.
4. Make the handoff useful
Your AI DM setter needs the same offer details as the page. Give it a short set of fit questions, an approved next step, and clear reasons to ask your team for help.
For example: a coach asks whether the system works with their current CRM. The setter asks which CRM they use, answers only from confirmed integration information, and offers a call when the setup needs a closer look. It passes the question and context to a person so the visitor does not have to start over.
Test missing answers, requests for a person, and people who are not a fit. Platform support, permissions, and your chosen tools affect what the workflow can do.
Keep a record of the work
For each run, record the input, accepted output, corrections, human review time, and tool costs. Compare those with the process you used before. Time returned to your week and cash expenses removed are different outcomes. Our savings worksheet keeps them separate.
Start with the task that repeats often and has a clear review step. The first workflow guide can help you choose it.
Map your own system
Download the free workflow planner (CSV). Open it in your spreadsheet app and fill in one row. The example rows are prompts to edit, not measured results.
Build the part you need
Stacked Strategies is where we scope and build the system with you. AI Growth Lab is the place to learn the process. Psydon, home of Clone OS, focuses on sales follow-up.
For a public build you can inspect, see Reel Machine on GitHub. Check its README for the current setup and requirements.
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