Новый гайд в нашу серию «Для начинающих», на этот раз гайд про Агентов, Циклы и Графы Перевел статью про три уровня, которые важно освоить: Агент — вы даете цель вместо инструкции, и он идет к ней сам. Отличается от чата тремя вещами: инструменты, память, цикл Цикл — работа переделывается, пока не дотянет до планки. Ключевое: проверка должна уметь по-настоящему провалиться, иначе это не цикл, а Claude, который назы…

Channel
Prompt Engineering - ChatGPT | Gemini, Nano Banana, Midjourney, SD, Sora AI
@prompt_ai
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,463subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001679738086 |
|---|---|
| Type | Channel |
| Username | @prompt_ai |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/prompt_ai |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 18:37 | 2,463 | -2 |
| 8 Aug 2026, 12:41 | 2,465 | +1 |
| 7 Aug 2026, 20:17 | 2,464 | no change |
| 7 Aug 2026, 19:42 | 2,464 | first reading |
Engagement
10 posts held, back to 19 January 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 18.7%
- avg views ÷ 2,463 subscribers
- Avg views / post
- 461
- 3 posts measured
- Reaction rate
- 0.362%
- reactions ÷ views · ER floor
- Posts in window
- 3
- of 10 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 1 of 3 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 10 (19 January 2026 – 7 August 2026) |
| Views total | 1,382 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 20:17 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Video runtime
- 47s
- Average length
- 47s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
42 reactions across 8 posts, in 7 distinct kinds. The most used accounts for 57.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 24 | 57.1% | |
| 😁 | 7 | 16.7% | |
| 👍 | 5 | 11.9% | |
| 🔥 | 3 | 7.14% | |
| 😱 | 1 | 2.38% | |
| 🙏 | 1 | 2.38% | |
| 🤯 | 1 | 2.38% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 8 of the 10 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 42reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 19 January 2026 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
От промпта → контекста → харнесса → цикла → инженерии графов. каждые несколько месяцев появляется новый термин, и люди ведут себя так, будто он заменяет всё, что было до него. это не так. каждый слой строится на предыдущем. самый простой способ понять разницу — задать один вопрос: какая единица работы? 𝗶𝗻𝗷𝗲𝗻𝗲𝗿𝗶𝘆𝗮 𝗽𝗿𝗼𝗺𝗽𝘁𝗼𝘃 — это сообщение. модель начинает каждый вызов с чистого листа. ваш промпт должен предоста…
👍2
Красота: один из разрабов OpenAI выпустил сайт, на котором собраны лучшие сценарии использования Codex и ChatGPT 😱 Это feed-лента с кейсами использования, промптами, гайдами и полезными инструментами — посты из Твиттера фильтрует GPT-5.6 Sol под руководством разраба. Ищем новый полезный промт — здесь.
👍 Апскейлим картинки в Nano Banana. Оказывается, нейронка умеет мощно прокачивать мыльные изображения. Она точно восстанавливает микродетали и фотореалистичные текстуры, при этом сохраняя 100% сходство с оригиналом. Забираем и тестим: Professional, ultra-high-quality image processing. Transform your low-quality, blurry uploads into cinematic quality with the highest level of detail. Preserve 100% of the original i…
❤5👍2🔥1
Новость недели 😂 Antropic красавцы
😁3
⚡️ OpenAI КОНЕЦ — правительство Индии обвиняет контору Альтмана в незаконном использовании рабского труда индийских программистов. Оказалось, что до 40% всех запросов, связанных с кодингом, на самом деле обрабатывает не хайповая модель GPT-5.4 Codex, а настоящие индийцы, живущие в закрытых цехах в городе Корапут. Обман раскрыли благодаря закрытию приложению Sora — OpenAI отпустили на свободу сотни индусов-аниматоров…
😁4🤯1😱1
Промпты типа "ты эксперт" Иногда помогают, иногда мешают. Интересный пост на эту тему: https://www.linkedin.com/posts/ekiledjian_expert-personas-improve-llm-alignment-but-activity-7442170166022397952-ChNb/ Перевел его почти целиком. Новое исследование Университета Южной Калифорнии («Экспертные персоны улучшают согласование с языковыми моделями, но ухудшают точность») протестировало экспертные подсказки для создани…
❤3🙏1
🖼 Апскейлим картинки в Nano-banana 2 Оказывается, нейронка отлично справляется с улучшением качества изображений, при этом она не добавляет лишних деталей и не сглаживает текстуры. Достаточно закинуть свое изображение и добавить промпт: Upscale and enhance the attached source image to true 8K UHD (7680×4320) with a 4x upscale factor, delivering a masterpiece-level, ultra-detailed, hyper-realistic result. Preserve …
❤8🔥2
Стильная инфографика одежды ✔️ Инструкция: Для этого заходим в Nano Banana Pro и пишем промпт ниже: Инфографика одежды без человека с прикрепленной фотографии; Тонкие движения и воздушные завитки ткани создают лёгкий {сезон} ветерок, яркий естественный солнечный свет создаёт мягкие тени и солнечное сияние, {сезон} настроение, премиальную редакционную эстетику, ультрачёткие детали, минималистичную типографику, стиль…
❤3👍1
Нашел еще один классный промпт для Nano banana 2 – он делает из любой картинки что-то вроде портфолио-арта, клево как для идей так и просто посмотреть, как АИ запроцессит глупости; кстати, можно попросить зазумить каждую картинку если понравилась – главное в том же чате Промпт: Create ONE final image. A clean 3×3 [ratio] storyboard grid with nine equal [ratio] sized panels on [4:5] ratio. Use the reference image …
❤5
Showing the 10 most recent of 10 posts we hold for @prompt_ai. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 11 August 2026 — this entry's latest reading, not the date you are reading this.
“Prompt Engineering - ChatGPT | Gemini, Nano Banana, Midjourney, SD, Sora AI” (@prompt_ai), 2,463 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/prompt_ai.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.