Turn a Task You Hate Into a Sellable AI Service in 30 Days
Most people trying to build a business with AI start by chasing a cool idea, and months later they still haven't sold a thing. The money isn't in the abstract idea. It's in a boring task someone hates doing over and over, every single week. In ecommerce these tasks are everywhere: writing a fresh product title and tags from scratch for every new listing, optimizing an Amazon listing, reading through 200 reviews to pull out objections, testing an ad headline in ten variants. This prompt takes AI out of the realm of curiosity and turns it into a productized service (packaged, fixed price, repeatable) that solves one market's concrete pain and can bring in real revenue within 30 days. You don't need to write complex code. It builds an offer you can set up today with tools you already have. Instead of guessing at 'what should I build and sell,' you get a decision list grounded in your own inputs.
You are a consultant who combines three experts in one: (1) an AI automation strategist, (2) a productized service builder (packaged, fixed scope, fixed price), and (3) a business opportunity analyst. Your job is NOT to generate an abstract "AI idea." It's to find a repetitive task that a specific market genuinely hates doing, and turn it into a sellable automation service that can bring in its first dollar within 30 days. Don't suggest complex software development. Focus only on practical solutions that can be built today with accessible AI tools (ChatGPT/Claude, Midjourney/Magnific, Make/Zapier, ElevenLabs, etc.). First, get these inputs from me (if I leave something out, make a reasonable assumption and say so clearly): - Target market / niche: [example: boutique shops selling handmade jewelry on Etsy] - Customer type: [example: solo Etsy seller listing 50 to 200 products a year] - The repetitive task you're thinking of automating (if any): [example: writing an Etsy title, 13 tags, and a description for every new product] - My current skills / tools I use: [example: intermediate ChatGPT, basic Canva, just starting with Make] - My experience in this space: [example: 2 years running my own Etsy shop] - My budget: [example: $150/month for tools] - Hours I can put in per week: [example: 10 hours] - Preferred business model: [example: monthly subscription / per project / setup plus maintenance] - 30 day revenue goal: [example: first 3 paying clients] Based on these inputs, produce the following 13 sections in full, numbered, and specific. No generic filler. Ground every section in this niche and in the ecommerce context of the task (Etsy title/tag SEO, Amazon listings, product descriptions, ad copy, customer objections, review analysis): 1. TASK BREAKDOWN: Exactly what the target customer hates about this task. The steps, the time it eats up, the mistakes they make, what it actually costs them (time plus lost sales). 2. 10 AUTOMATION OPPORTUNITIES: 10 repetitive tasks in this niche that AI can solve. For each one, give a "business value" note: time/money saved for the customer, willingness to pay (High/Medium/Low), and difficulty to build (Easy/Medium/Hard). 3. RISK ASSESSMENT: The 3 to 4 weakest points and a practical way to reduce each one. These can include: platform policy (Etsy/Amazon rules on AI generated content), quality consistency, the "this was written by AI" perception, customer dependency. 4. PRIORITY AUTOMATION: Pick ONLY ONE of the 10 opportunities (the intersection of high business value and easy to build) and justify the choice in 2 to 3 sentences. 5. STEP BY STEP WORKFLOW: How the chosen automation runs end to end. How the customer submits input, which tool kicks in at which step, how the output gets delivered. Include a sample AI prompt skeleton if useful. 6. PRICING TIERS: 3 packages (starter / standard / premium), each one's scope, delivery time, and a suggested price range (in USD, with the reasoning behind it; do not make up a "market average," explain the logic instead). 7. CUSTOMER ACQUISITION STRATEGY: Where and how to reach the first 3 to 5 paying customers. Where this niche actually hangs out (Etsy/Amazon seller communities, Facebook groups, DMs, content) and what message opens the door. 8. 7 DAY VALIDATION PLAN: What to do day by day to test demand before spending a single dollar on tools (who to talk to, what to ask, what signal counts as a green light). 9. LAUNCH ASSETS: The bare minimum needed. A one page offer/landing page copy, a before/after sample output, a DM/email opener, a simple price table (write a draft of each). 10. 30 DAY ROADMAP: Week by week (1 through 4), concrete goals moving from validation to first delivery to first payment to second customer. 11. QUALITY AND DELIVERY STANDARD: A checklist or template logic to keep output consistent, meaning what gets verified before every delivery (example: Etsy title character limit, tag relevance, brand tone). 12. SCALING AND NOT LOSING YOUR GRIP: How to make the work repeatable after the first 3 customers (templating, partial automation, subscription revenue) and what you should never hand off as you grow. 13. ONE LINE POSITIONING: A clear sentence describing this service in the pattern "I solve [pain] for [customer type] with [outcome]." OUTPUT REQUIREMENTS: Write in English. Every section must be specific to this niche and actionable. No empty filler like "just use AI." Do not use made up statistics, percentages, or market averages. If you give a number, derive it from my inputs or from a clear, stated logic. Keep the tone direct and honest. No inflated promises. End with a single concrete section called "DO THIS IN THE FIRST 48 HOURS."
How to use it
- Fill in the [bracketed] fields for your own niche. Be as concrete as possible on the 'repetitive task people hate' field (example: writing 13 Etsy tags plus a title for every new product). The more specific the input, the more sellable the output.
- Run the '7 day validation plan' from section 8 first. Talk to 5 to 10 real sellers before spending a cent on tools. Do not start building the automation in section 4 until you get a genuine 'yes, I'd pay for that' signal.
- Once you get the output, take the AI prompt skeleton from section 5 and test it in your own ecommerce tool (ChatGPT or Claude) on 2 to 3 real products. Fill the before/after example in section 9's launch assets with that real output and send your first DM.
Example / tip
Input: Target market = small private label brands selling kitchen goods on Amazon. Task = writing an Amazon listing (title, bullets, description) for every product and optimizing it for A9. Business model = per listing fee plus a monthly optimization subscription. Goal = 3 clients in 30 days. The prompt picks a priority automation ('a workflow that turns one product into an A9 compliant title, 5 bullets, and a description in minutes'), builds 3 price tiers (single listing, 10 listing bundle, monthly maintenance), points to the Amazon FBA seller groups where the first clients are hanging out, and gives a 7 day validation plan that opens with 'write one free sample listing, get feedback.'
Usage example
Copy the prompt as is, fill in the bracketed fields for your own business, and paste it into ChatGPT or Claude. The more concrete your input, the more useful the output. Take the first draft, ask for a one-sentence fix on whatever you don't like, then give it a final pass in your own voice.
When not to use it
Don't force it if you have no real input to work with. A prompt doesn't fill an empty field with data, it organizes and speeds up what you already know. Never publish the output unchecked; AI sometimes produces a claim that sounds right but is wrong or made up. Always verify anything that needs proof yourself: numbers, prices, guarantees.
Output quality checklist
- Is the output specific to your input, or generic filler that fits any business? If it's generic, run it again with more concrete input.
- Does every number, ratio, or claim have something backing it? Delete the unbacked ones or soften them honestly.
- Does it sound like you? Simplify the cliches and inflated lines in your own voice.
- Does it give one clear next step? If the reader knows what to do, the output did its job.
