The final is near! I'm finishing the "Neural Networks for Work" course — only the thesis remains. I've already created a folder on my desktop, half the work is done 😁

The course is from the guys at Skypro, the well-known online school Skyeng. I trust them, I recommend the course, details here.

Now let me tell you about my personal top skills after the third module:
— Analytics: checking documents, data analysis and KPIs via DeepSeek.
— Automation: scheduled market research in Perplexity Space.
— Integrations: creating time-triggered scenarios in n8n.

Instead of long stories, I'll save you a lot of time and share a ready-made homework assignment. Inside — working prompts for solving three business tasks:

1️⃣ Checking incoming purchase requests. No matter what form the request comes in — email or messenger. You throw the text into the neural network, run the prompt, and it instantly checks if there is enough data for the deal. If something is missing, the AI itself generates a list of questions for clarification.

2️⃣ Analysis of sales department KPI reports. A prompt for deep analysis. Helps highlight trends, detect anomalies, and find the true causes of deviations. The main thing is strict constraints so that the neural network relies only on facts and doesn't make anything up.

3️⃣ Automatic market digest. Setting up AI for independent weekly analytics and competitor monitoring on a given topic. Output — a summary and mandatory links to sources.

In the pictures to the post, I've collected cheat sheets, and in the comments I'll post the prompt itself and examples of how the neural network worked. Grab them so you can just do Ctrl+C / Ctrl+V and immediately put them to work.

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