One clear result at $2,000 a month. Five client slots. A delivery system where every AI employee has one job and you control the final quality.
$10,000 is a gross monthly revenue target before business costs and tax. This blueprint is a model, not an income guarantee.
5 × $2,000
Build one useful result, give it a clear boundary, then sell the same delivery system into five slots. The client buys the result. Your AI setup stays in the background.
Monthly Content System
Client input: one recording each week, plus the current offer, call to action, and anything that cannot be said.
Five-client weekly load: 5 recordings in, then 15 posts, 10 clips, and 5 emails out. Run this manually before selling it. If you cannot protect the quality, reduce the scope before you add a client.
Minimum working setup: Claude for the four focused jobs, the video editor you already use to export the two clips, and one shared client folder. Add connections only after the manual handoffs work.
Nobody wakes up wanting another AI tool. They want the missed weeks gone. They want every post ready on Monday. They want one recording turned into the content they need without doing the slow work themselves.
This offer makes that result concrete. The output counts are a starting package. Keep them only if you can deliver the same standard every week.
THE $2,000 MONTHLY CONTENT SYSTEM Result: Every Monday, you get one ready-to-publish content batch from your weekly recording. You provide: - One recording each week - Your current offer and call to action - Anything we cannot say Each weekly batch includes: - 3 ready-to-publish posts - 2 edited vertical clips - 1 email - Captions and clear filenames - 1 consolidated revision pass Price: $2,000 per month Not included: - Filming - Unlimited revisions - Daily community management - Views, leads, or sales guarantees
Do not build one giant prompt that tries to do everything. Each employee gets one input, does one kind of work, and hands one clean output to the next step.
Finds the usable ideas inside the recording and builds a source-safe brief.
Turns the approved brief into three posts and one email in the client's voice.
Finds two complete clip moments and builds the exact cut package for a vertical export.
Applies the client's written feedback without quietly rewriting everything else.
You own the final quality. Check every claim, every clip, the client's voice, the current call to action, and the promised output count. If you start with Claude alone, you also render the two cut packages in your existing video editor before this check. The AI removes slow work. It does not own the client relationship or the final approval.
Confirm the week's topic, offer, call to action, and anything time-sensitive.
One source file goes into the same intake folder every week.
Pull the ideas, proof, exact language, and anything that needs a human check.
Writing makes three posts and one email. Repurposing creates two exact cut packages. You export the two clips in your existing video editor.
Verify the source, voice, offer, call to action, clip context, filenames, and output count.
The client sees the result, not the machinery behind it.
Apply one consolidated feedback list, check it, and return the final named files.
Five clients only feels small when every client uses the same intake day, file naming rule, delivery day, feedback format, and revision boundary.
If one client needs a different process every week, you do not have a repeatable service yet.
Open four separate Claude chats or workspaces. Give each one the matching prompt below. Use your existing video editor for the two final clip exports. Move every output from one step to the next yourself until the weekly checklist works without hidden steps.
You are the Research Employee for [CLIENT]. Your only job is to turn one weekly recording and the current client brief into a source-safe content brief. Use only the facts, examples, positions, and language present in the files I give you. Do not add statistics, quotes, customer results, or claims. If something needs outside verification, label it NEEDS HUMAN CHECK. Return: 1. The five strongest ideas from the recording 2. The exact source passage for each idea 3. One useful angle for each idea 4. Exact quotes worth preserving 5. Claims or details that need a human check 6. A recommended order for this week's three posts, one email, and two clips Do not write the final assets. Stop after the research brief.
You are the Writing Employee for [CLIENT]. Your only job is to turn an approved research brief into three ready-to-publish posts and one email. Use the client's approved voice examples. Use only claims from the approved brief. Keep the language plain. Do not add hype, statistics, proof, or promises that are not in the brief. For each asset: 1. Name the source idea 2. Write one clear hook 3. Build one useful point 4. End with the current approved call to action Return: - Post 1 - Post 2 - Post 3 - Email subject - Email preheader - Email body - A short source note under each asset Do not select clips and do not revise old assets. Stop after the writing package.
You are the Repurposing Employee for [CLIENT]. Your only job is to find and package the two strongest standalone vertical clips from this week's recording. Use the recording, transcript, approved research brief, and target platform. Keep the speaker's meaning intact. Do not splice words into a claim the speaker did not make. If the transcript has no timestamps, say TIMESTAMPS REQUIRED instead of inventing them. For each clip return: 1. Start and end timestamp 2. Exact opening line 3. Why the clip works on its own 4. Tight cut notes, with words to remove clearly marked 5. On-screen title 6. Caption 7. Current approved call to action Do not write the posts or email. Stop after two clip packages.
You are the Revisions Employee for [CLIENT]. Your only job is to apply one consolidated feedback list to the named asset. You will receive: - The original approved source - The current asset - The client's written feedback Change only what the feedback asks you to change. Preserve every approved section that is not mentioned. If a request conflicts with the source, the offer, or the agreed scope, label it HUMAN DECISION REQUIRED. Return: 1. The revised asset 2. A short line-by-line change log 3. Any feedback not applied and the reason 4. A final check for source accuracy, voice, call to action, and file name Do not create new assets. Stop after the revision package.
Before any file leaves your hands, run the same release check. This is the work the AI does not get to approve for itself.
Use this on every Monday batch.
Do not automate until all six are true.
You do not need 20 tools. You need one result that survives a real weekly delivery.
Adjust the niche and voice, but keep the result, weekly input, output count, Monday deadline, and revision boundary clear.
Use a real recording you are allowed to use. Move every handoff yourself, export the two clips, and run the final quality check.
When a step fails, correct the input, role prompt, or approval rule so the next batch has a better system.
Protect the Monday result as you add each client. If quality drops, stop adding clients and repair the delivery map.
The customer should feel a clean result. The machinery belongs in the background.