AI Asset Operator

Thousands of AI projects get abandoned every month.

Learn how to pick them up, run them, and turn them into income.

Most AI builders are great at building. Almost none of them know how to operate, grow, or sell what they've built. That's where operators come in — and that gap is widening every month.

Join the Course Waitlist →

The curriculum is being developed. Payment and course access are not open.

This is for you if:

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You're a marketer, freelancer or operator who wants to add AI assets to your income streams — without building from scratch.

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You've seen AI projects on Reddit, ProductHunt, or GitHub that look like they could make money — but you didn't know how to evaluate or take one over.

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You want to buy or operate an AI business for under $5,000 — and actually know what you're getting into.

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You have skills (writing, marketing, operations, client management) but no technical background — and want to use them on AI assets.

Not for you if:

You're looking for a get-rich-quick scheme, passive income with zero work, or a magic prompt to generate revenue overnight. This is a real operational skill set — not a shortcut.

What's inside

5 modules · 18 lessons · templates and worksheets. Tap any module to expand.

01
What is an AI Asset · 4 lessons
Goal: stop wasting time on projects that can't become income.
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1.1The Demo–Asset gap
The 7 attributes that separate a real asset from a toy: revenue, docs, transferability, moat, ops, ownership, compliance.
1.2The 7 asset types operators can run
Chatbot · agent workflow (n8n, Make) · newsletter · TG/Discord bot · micro-SaaS · UGC persona · lead-gen automation. What each pays, what each demands.
1.3How to read a AI Asset Score
Decode the 100-point score, what A/B/C actually means for a buyer, and how to spot inflated scores.
1.4Which asset type fits YOU
Operator Fit self-assessment: skills × time × capital → best asset match.
Deliverable: filled Operator Fit worksheet
02
How to Evaluate an AI Asset · 4 lessons
Goal: never pay for a broken project.
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2.1Where to hunt
12 sources ranked by deal quality: AIAsset.Market, Acquire.com, MicroAcquire, Flippa, Reddit r/SaaS, ProductHunt graveyard, GitHub abandoned repos, IndieHackers, Telegram channels, direct outreach.
2.2The 15-minute pre-screen
First-pass filter: does it have MRR, docs, transferable stack, real users. Kills 80% of leads fast.
2.3Deep due diligence
The 40-point acquisition checklist: revenue verification, churn analysis, tech stack audit, API cost review, legal/IP, contracts.
2.4Red flags & deal-killers
12 patterns that always mean walk away: fake MRR, single-customer risk, model lock-in, undocumented prompts, creator can't step away.
Deliverable: Acquisition Scorecard template (Google Sheets)
03
How to Take Over Operations · 4 lessons
Goal: run it solo within 30 days without the builder on call.
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3.1The handover call script
45 questions to ask the seller BEFORE signing: access, dependencies, edge cases, "what breaks when...".
3.2Transfer Notes template
The doc that protects you when the creator disappears: credentials, SOPs, prompts, escalation paths.
3.3First 7 days playbook
Audit access, ping customers, break nothing, understand cash flow.
3.4First 30 days playbook
First optimizations, first customer conversations, first "your fault" moment.
Deliverable: filled Transfer Notes template + 30-day checklist
04
How to Grow It · 4 lessons
Goal: turn a dormant asset into a growing one.
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4.1The distribution audit
Where traffic is coming from today, where it SHOULD come from, gap analysis.
4.2Telegram / LinkedIn / X playbooks
3 posting formats that work for AI assets — proof-of-work, teardown, before/after. Cadence and tools.
4.3The content engine for non-writers
Repurposing, AI-assisted drafting, using Klap.app and HeyGen for video without a studio.
4.4Pricing & packaging tweaks
5 pricing experiments that add 20–40% MRR without new customers: annual plans, tier upsell, done-for-you add-ons.
Deliverable: 30-day growth plan for your asset
05
How to Monetize or Sell It · 4 lessons
Goal: know your exit before you buy.
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5.1Revenue models that work for AI assets
Subscription, usage-based, licensing, done-for-you services, affiliate — with real numbers per model.
5.2The AI Asset Score re-scoring
How to bump your asset from B to A before listing: proof, docs, transferability wins.
5.3Packaging for resale
The listing package: Loom demo, financials, tech stack doc, Transfer Notes, customer list.
5.4Exit options & pricing
Flip fast (3–6 mo, 8–12× MRR) vs hold-and-grow (12+ mo, 15–20× MRR). Where to list, how to negotiate.
Deliverable: exit-ready listing package outline

Bonus included

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Transfer Notes template — the handover doc that protects you when taking over any AI asset

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Operator Fit Score checklist — know before you start if you're the right operator for this asset

After this course you can:

Practical outcomes — not theory. These are the decisions you'll be able to make with confidence.

🎯

Spot a real asset in 20 minutes

Browse a marketplace, GitHub, or Reddit listing and know within one read whether it's worth your time.

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Run a due diligence call

Ask the right questions, get the SOP, spot red flags before you commit a dollar.

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Take over and ship in 30 days

Use the handover template to get up to speed fast — without needing the original builder on call.

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Flip or hold with a clear strategy

Know when to grow, when to exit, and how to price an asset you've improved.

Early Access

A practical framework for evaluating, operating, and transferring AI assets.

The curriculum is based on the published AI Asset Score methodology and practical operating checklists. Course access is not open yet.

47
AI projects reviewed
$2.8k
avg monthly revenue of assets we list
Active
community in our Telegram

Common questions

Do I need a technical background? +

No. The course is built for operators — people who run and grow things, not engineers who build them. You need basic digital literacy: you can use tools, read dashboards, and communicate with developers. That's it.

When does payment open? +

No launch date is promised yet. Join the Telegram waitlist for product updates.

How long does it take to complete? +

Most people finish in one focused weekend. The material is dense and practical — no filler, no fluff. You can also go module by module over 5 evenings.

How much money do I need to start operating AI assets? +

Depends on your strategy. Some operators start by taking over abandoned projects for free (the builder is happy someone will maintain it). Others buy assets in the $500–$5,000 range. The course covers both paths — and how to evaluate risk at each level.

What makes an AI asset different from a regular SaaS? +

AI assets often depend heavily on their creator — the prompts, the workflow, the specific model choice. If those aren't documented and transferable, you're not buying an asset, you're buying a demo. This course teaches you exactly how to tell the difference before you sign anything.

Is there a refund policy? +

No payment is currently accepted. Refund terms will be published before sales open.

Course waitlist

AI Asset Operator

Planned curriculum: 5 modules, 18 lesson outlines, and 2 templates. The finished lessons are not available yet.

Price not announced

Joining the waitlist does not create a purchase or payment obligation.

Join the Waitlist →

Follow the Telegram channel for curriculum and launch updates.