How to Create Marketing Images With AI: Prompts and Edits
A repeatable three-step routine for turning a plain idea into a usable marketing image, then keeping every image after it consistent with the first.
How to Make Money with AI: What Actually Works and What Does Not
Most 'make money with AI' advice describes a business that only worked for the person selling the advice. Here are the models that survive contact with reality.
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The genre of “make money with AI” content is mostly people making money by telling other people how to make money with AI. That does not mean there is nothing there. It means the honest version is less exciting and considerably more useful.
The reliable pattern is not “sell AI output.” Output is now abundant and abundant things get cheap. The reliable pattern is using AI to do more of work you were already positioned to sell, or to reach a market you could not previously serve.
The four models that hold up
1. Do your existing skilled work faster
The least glamorous and by far the most dependable. If you are a freelance designer, developer, translator, consultant, bookkeeper, or copywriter, the tools compress the parts of your job that were never the valuable part — first drafts, boilerplate, research, formatting, admin — and leave you more hours for the part clients pay for.
Prompt to try
I'm a freelance [role] billing about [X] a month. Walk me through my week and find the hours that go into work clients don't actually value — admin, drafting, research, revisions, proposals. For each, tell me whether AI can genuinely compress it, by roughly how much, and what quality risk that introduces. Be skeptical rather than optimistic.
2. Serve a market you could not previously reach
Language is the clearest example. A consultant who could only work in one language can now handle proposals, support, and documentation in three — with a native speaker reviewing anything that goes out under their name.
Prompt to try
I do [work] for clients in [market]. What adjacent markets become reachable if translation and localization stop being a bottleneck? For each, tell me what would still block me — regulation, payment, trust, time zones, local competition — because those are the parts AI doesn't solve.
3. Sell a system, not the output
Anyone can generate a blog post. Fewer people can build a content operation that reliably produces briefs, drafts, edits, publishes, and reports — with a human review gate where it matters. Businesses pay for the system and the accountability, not the generation.
This is where most of the durable money is right now, and it is why the skill that matters is process design rather than prompting.
4. Build a small product for a small problem
The cost of building something narrow has collapsed. That has also collapsed the price of narrow products, so the winners are the ones aimed at a specific audience whose problem you personally understand.
Prompt to try
I know [industry/hobby/profession] well from the inside. Help me find the small, annoying, repeated problems in it that people would pay a modest amount to remove. Ask me about my week rather than guessing, then rank what you find by how painful it is versus how hard it'd be to build.
What mostly does not work
Selling generic AI content. Undifferentiated text and images are now close to free. Competing on price against free is not a plan.
AI-written books and courses at volume. The marketplaces are saturated and increasingly filtered, and the returns per unit have collapsed.
Reselling access to a model. Wrapping an API with a thin interface is a business with no moat and a supplier who can ship your feature.
Anything whose pitch is “passive.” The parts that were labour-intensive got cheaper; the parts that were hard — distribution, trust, sales, support — did not move at all.
The part nobody wants to hear
Distribution is the constraint. It was the constraint before AI, and cheap production made it more binding, not less. If you have an audience, a client list, a professional reputation, or a niche community you are genuinely part of, you have the scarce asset. If you do not, building one is the actual work, and it is slow.
Prompt to try
Here's my idea: [describe it]. Play a skeptical investor. Attack it on distribution specifically — who finds out this exists, why they'd trust me, and what it costs to acquire one customer. Don't be encouraging; tell me the version of this that fails and why.
Money you keep is money you made
The least discussed lever is the boring one: an assistant is very good at going through your recurring costs, comparing options, and drafting the cancellation and negotiation messages you keep not sending.
Prompt to try
Here are my recurring subscriptions and bills with amounts and renewal dates. Sort them into keep, negotiate, downgrade, and cancel, with a reason for each. Then write the three messages I need to send — the cancellation, the retention negotiation, and the one asking my current provider to match a competitor's price.
Where this fits in ChatUp
AI Research for market and competitor questions where a stale answer is worse than none. The Business Planner and Marketing Expert assistants provide starting points for the offer, pricing, and outreach. AI Goals can prepare an account-synced plan and scheduled message history. Keep the specifics of the business in a dedicated conversation or reviewed brief.
Frequently asked questions
Can I really make money with AI?
You can make money with skills, an audience, or a real problem you understand, and AI raises your output on all three. Treating AI itself as the business is where it goes wrong.
What is the fastest way to start?
Apply it to work you already do and get paid for. It is the shortest path from effort to money, and it teaches you what the tools can and cannot do before you bet on them.
Do I need to be technical?
No. Process design, taste, judgment about quality, and customer relationships are the scarce parts, and none of them are technical.
Should I disclose that I use AI?
Follow the norms of your field and any client contract. Generally: disclose when someone is buying your judgment or authorship, and be candid if asked. Getting caught hiding it costs more than the disclosure ever would.
The unexciting summary
The money is in doing valuable work faster, reaching people you could not reach, selling a reliable system rather than raw output, and solving a specific problem for a specific group. Everything else is someone else’s income stream, and you are the customer.
General information, not financial advice.
Try it in ChatUp
Turn this guide into a workflow.
Run the prompts above against the model that suits the task, keep the useful context across chats, and pick it back up on any device.
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