If you're still writing prompts the length of "War and Peace," and ChatGPT still produces some kind of nonsense, this article will change your life. Today I'll tell you about a programming method that makes neural networks much more responsive. A Prompting Method That Changes Everything - JSON Prompts and How to Use Them By the way, I'm Anton Shadrin. My job is to implement neural networks in business and make AI work for you, not you for it. What is this JSON beast and why is it better than regular prompts? JSON is simply a way to structure information. Imagine that instead of a solid sheet of text, you give ChatGPT a clear list: this is the role, this is the task, and this is the response format. A typical prompt looks like this: You're an experienced copywriter. Write a post for Instagram about the benefits of meditation. The text should be friendly and motivating, 150-200 words long. Use emojis and add a call to action at the end. And here's the same prompt in JSON: { "role": "Experienced social media copywriter", "task": "Write a post for Instagram about the benefits of meditation", "style": "Friendly and motivating", "length": "150-200 words", "format": "Text with emojis", "cta": "Call to start meditating today"} See the difference? In the second case, the neural network understands exactly what is being asked of it. No fluff, no double interpretations—a pure structure. Why this works better (spoiler: it's in the neural network's brain) ChatGPT was trained on millions of lines of code, where JSON is a standard data format. It's like its native language. When you feed information in JSON, the neural network switches to "oh, this is serious" mode and starts working more accurately. I tested both approaches on over 50 tasks. The result: JSON prompts produce the desired result on the first try 80% of the time, compared to 60% with standard ones. The time savings are enormous. Step-by-step instructions: creating your first JSON prompt Step 1. Define the structure

✅ 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.

I am looking to get better at prompting. Any recommendations?

Hello everyone. I've been working in the accounting business for 25 years. For the last year, I've been actively training my neural network. It's a fully-fledged AI junior accountant. The next version of the product will be an AI middle accountant. Everything is being tested on real business clients. The product will be available for sale in 2026. This is a real problem for many entrepreneurs: they don't want to delve into the numbers of their business. And expensive accountants are like aliens speaking an alien language. As a result, a huge number of entrepreneurs use a large number of different software programs and pay for multiple licenses. Repetitive business processes are not optimized or automated. I need your help finding simple answers: What don't you like about your software today? What would you like to improve? What would you like to add to the software? What is the deciding factor that will help you decide to switch to different software?

Hat tip to @Aleksandr Fomenko for his outstanding post! Beginners can get advanced level results quickly by investing the short amount of time that it takes to get proficient in JSON prompting.You do not need to be technical to start. If you can fill out a form, you can write a JSON prompt. Don’t be intimidated, it’s way easier than writing long walls of text in traditional prompts and the results are more predictable. Stay patient and curious. If you don’t get the results that you’re looking for right away, just keep trying! WHY BEGINNERS SHOULD LEARN JSON PROMPTING Learning JSON prompting is easy!! It helps you get dependable results without rewriting your prompts. Once you understand the structure, you can reuse and adapt it for new projects. It helps you think more clearly about your goals and gives you better control over the AI’s output. JSON Prompts improve results! JSON prompting is one of the easiest skills to learn and one of the fastest ways to make your AI results more reliable and professional. Regular prompts can often lead to mixed results, because they’re a wall of text, but JSON uses clear labels for every part of your instructions. Example: { “task”: “write advertisement”, “brand_type”: “skincare”, “tone”: “friendly”, “length”: “under 100 words” } Each label tells the AI exactly what to do. This format reduces confusion, increases focus, and keeps your results consistent. WHAT JSON PROMPTING IS JSON prompting organizes instructions into labeled fields. Each field has a name and a value, like a simple checklist. The AI reads each label as a clear command, which makes your request easy to follow and repeat. WHAT A JSON PROMPT LOOKS LIKE { “role”: “marketing expert”, “task”: “create social media captions”, “platform”: “Instagram”, “audience”: “busy moms”, “topic”: “skincare”, “number_of_posts”: 3 } A JSON prompt is short, clear, and easy to edit for any task. BEST PRACTICES FOR JSON PROMPTING Use short, clear key names like “task” or “tone.”