Prompt Engineering
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AI Consulting and trainingWhat is Prompt Engineering?
Prompt - a text request to the language model. Prompt Engineering - the ability to write these prompts effectively. This is not programming. This is closer to a clear TOR for the contractor.
Key principles: • Context - explain who you are, why you need the result, who is the target audience • Specifications - "write 3 title options for the Landing Page of dentistry in Kyiv, the tone is friendly, up to 10 words" • Format - specify the type of response: table, list, JSON, HTML • Restrictions - what NOT to do: do not invent facts, do not exceed 200 words
The difference between a bad prompt and a good one is the difference between 5 minutes of work and 2 hours of editing.
How does Prompt Engineering work?
You formulate a request → the model processes it → generates a response. The model does not read thoughts - she responds to what was written. Experienced prompt engineers use the following techniques: Chain of Thought (step-by-step reasoning), Few-Shot (examples of results), Role Play (setting a role).
Usage options for Prompt Engineering
One good prompt = 10 text options in 2 minutes instead of 2 hours of copywriter work.
Prompt for analysis of correspondence: "find objections that we have not closed." CRM + AI = insights in seconds.
Job generation, resume screening, interview questions. One prompt replaces 40 minutes of manual work.
"Analyze sales for the quarter, find 3 trends and propose actions." Instead of an analyst for $2000/month.
/ FAQ
No. Prompts are written in plain language. You need to understand how the model "thinks" and be able to structure the query.
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