16 Jun 2026, 18:35 UTC≈1,790 views5 reactionsread 7 August 2026 📚*Day 1/30:Prompt Engineering and AI Communication*
*📑 What is Prompt Engineering*
Prompt engineering is the process of designing instructions for AI systems to get accurate, useful, and intelligent responses.
A prompt is not just a question. It is communication between humans and AI.
The quality of the output depends heavily on how clearly the input is written.
A weak prompt creates confusing answers, while a str…
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16 Jun 2026, 18:35 UTC≈1,950 views16 reactionsread 7 August 2026 “Create a modern ATS friendly resume for an AI security student with networking and Python skills targeting SOC analyst internships.”
The second prompt gives AI clear objectives, audience, and purpose.
Professional prompt engineers also refine prompts repeatedly to improve quality.
This process is called prompt iteration.
In real industries, this difference can save companies time, money, and resources.
📖*Types of …
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23 Feb 2026, 07:47 UTC≈4,440 views3 reactionsread 7 August 2026 Photo
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28 Jan 2026, 09:24 UTC≈3,550 viewsread 7 August 2026 Photo
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27 Jan 2026, 09:06 UTC≈3,040 views1 reactionsread 7 August 2026 Photo
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8 Jan 2026, 10:49 UTC≈3,260 views7 reactionsread 7 August 2026 Photo
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7 Jan 2026, 12:37 UTC≈2,840 views4 reactionsread 7 August 2026 🎬 Ever wonder why some videos cross 10M+ views?
This prompt breaks viral videos down forensically — not vibes, not guesses, but structure, hooks, retention, and emotional triggers.
Use it to extract the DNA of viral content and turn any transcript into reusable templates you can apply to your niche, style, and platform.
👇 Full prompt is in the thread — save it if you create content seriously.
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4 Jan 2026, 16:24 UTC≈2,880 views2 reactionsread 7 August 2026 Photo
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3 Jan 2026, 11:46 UTC≈2,490 views2 reactionsread 7 August 2026 Photo
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Showing the 12 most recent of 19 posts we hold for @chatgptcourses. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.