Created a JSON prompt to calculate expenses for several employee AI clones.
✅ Summary:
This prompt generates a full financial and operational analysis of how your business uses ChatGPT across email communication, content production, and lead-automation workflows.Its purpose is to provide a realistic cost projection for building and running an AI-powered system, including:
  1. Monthly AI request volume (emails, follow-ups, posts, revisions, automation tasks).
  2. Token consumption at different complexity levels for emails and content.
  3. API expenses (GPT-4o mini / GPT-4o) and UI subscription costs (Plus / Team / Pro).
  4. Basic vs. extended scenarios that include extra steps like classification, summarization, and CRM logging.
  5. Sensitivity analysis showing how costs change when email length or lead volume increases.
  6. Key conclusion: the free ChatGPT plan cannot handle automation reliably; businesses need a combination of UI + API.
In short, the prompt converts your business workload into a clear cost forecast, helping you decide how to scale, which models to use, and how to budget your AI infrastructure.
✅ Why a business needs this
  • To understand the true cost of running AI-driven operations.
  • To forecast system load and avoid hitting free-plan limits.
  • To calculate the ROI of automation and plan for future scaling.
  • To choose the optimal API models (economical vs. high-quality).
  • To see in advance how costs grow when leads or content production increases.
✅ Can this prompt be adapted to any business?
Yes. The prompt is fully scalable and customizable:
  • change the number of leads per day;
  • adjust emails per client;
  • modify the amount of content and revisions;
  • update average token size per email/post;
  • switch between API models (4o-mini or 4o);
  • include your own pricing, limits, or internal rules.
Once you adjust the parameters, the prompt automatically recalculates the entire financial and operational plan, making it suitable for businesses of any size—from solo coaches to high-volume agencies.
If you want, I can create a short version, a presentation-ready version, or a JSON-based automation version for your workflow.
✅JSON promt. Copy it directly into your AI and see the result, or copy it into a Word document and make edits according to your business needs. Then paste it into the AI ​​and get your own calculation.
{
"role": "assistant",
"task": "Calculate the average number of AI requests per month and estimate how long the free version of ChatGPT will last before reaching its limits, as well as the cost of the paid version, taking into account additional tokens, for a coaching business with a single automation hub.",
"context": "Assumptions and scope of work: 1) 20 leads/day → at least 20 first emails/day; 2) 5 touches are required to convert each lead to a sale → an additional 20 x 5 = 100 emails/day; 3) Content: 100 posts/month, each may require up to 3 revisions → 100 x (1 + 3) = 400 generations/editions per month; 4) Existing clients: 100 clients x 5 emails/month = 500 emails/month. Assume a default of 30 days per month. Assume that one email or one post iteration = one request to the AI ​​(one call). Separately calculate scenarios with additional requests (e.g. lead classification, email summarization, CRM logging: +1 request per lead or per email, if necessary). Output: (a) the total number of requests/month for the basic and extended scenarios, (b) an estimate of token consumption: indicate assumptions for the average token volume per email (e.g. 200–400 tokens request+response) and per post/editing; (c) for the free version of ChatGPT — approximately how much this volume will suffice, taking into account typical limitations (interface, not API), with an explicit note about unpredictable limits; (d) for the paid version — separately for the interface (subscription cost per user) and for the API (token cost at entry/exit rates), calculate the monthly cost for 2–3 levels Workload (low/medium/high), and provide a benchmark for annual cost. Specify all formulas and intermediate steps. Conduct a sensitive analysis: how the cost changes when the average token volume of an email doubles and when the number of leads increases to 30 per day." 5),
"response_format": "text",
"style": "business-like, structured, with formulas and a summary pivot table",
"length": "detailed",
"audience": "small business owner implementing a unified automation hub",,
"language": "eng",
"restrictions": "Use for 30 days per month; explicitly state token assumptions; display results for basic and advanced scenarios; indicate that the exact limits of the free version are variable and that the API/paid plans are recommended for stable automation."
}
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27 comments
Aleksandr Fomenko
4
Created a JSON prompt to calculate expenses for several employee AI clones.
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