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Channel

AI Experience Exchange

@AiExp01

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry

2,272subscribers

-8 since we began measuring on 31 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001844871925
TypeChannel
Username@AiExp01
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded31 August 2026
Last confirmed live18 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/AiExp01

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 18 September 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

2,2722,2802,27631 August 2026 — 2,280 subscribers1 September 2026 — 2,279 subscribers10 September 2026 — 2,277 subscribers14 September 2026 — 2,276 subscribers18 September 2026 — 2,272 subscribers31 August 202618 September 2026
5 measurements spanning 18 days, net -8. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 2,271–2,281 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 10:592,272-4
14 Sept 2026, 07:172,276-1
10 Sept 2026, 11:412,277-2
1 Sept 2026, 07:372,279-1
31 Aug 2026, 22:462,280first reading

Engagement

20 posts held, back to 11 April 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 18 January 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1h 09m
Average length
8m 39s

Measured directly from 8 videos 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

417 reactions across 20 posts, in 9 distinct kinds. The most used accounts for 41.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥17241.2%
👍16639.8%
5312.7%
🙏92.16%
👏71.68%
40.959%
🏆20.48%
💘20.48%
💯20.48%

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 20 of the 20 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 417 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 11 April 2025 to 18 January 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

18 Jan 2026, 06:39 UTC≈1,810 views15 reactionsread 31 August 2026
Video

🧠 Выбор правильной мультиагентной архитектуры Multi-Agent системы — мощный инструмент, но не универсальный. Ссылки Этот материал: https://github.com/kvoloshenko/LocalMultiAgents_01/blob/main/Python/ChoosingArchitecture.md Single AI Agent: https://t.me/AiExp01/133 Supervisor (Multi-Agent) https://t.me/AiExp01/135 Swarm (рой) https://t.me/AiExp01/137 Использовано видео "Choosing the Right Multi-Agent Architecture" ht

🔥11👍31

18 Jan 2026, 06:37 UTC≈1,330 views15 reactionsread 31 August 2026

🧠 Выбор правильной мультиагентной архитектуры Multi-Agent системы — мощный инструмент, но не универсальный. ❓ А точно ли вам нужен мультиагент? ❗️ Не факт, что вам вообще нужна мультиагентная система. Часто бывает, что: • достаточно одного агента • с тулзами / ручками • где агент сам принимает решение, какие инструменты дергать 📏 Критерии оценки архитектур Чтобы сравнивать разные подходы, автор вводит

👍6🔥621

3 Jan 2026, 09:55 UTC≈1,740 views11 reactionsread 31 August 2026
Video

📣UI для Deep-Agents (Видео 9 минут) 📚 Про Deep-Agents см. пост здесь: https://t.me/AiExp01/142 Ссылки: 🚀Local-Deep-Agents-from-Scratch: https://github.com/kvoloshenko/Local-Deep-Agents-from-Scratch 🚀Deep Agents from Scratch: https://github.com/langchain-ai/deep-agents-from-scratch 🚀Deepagents UI: https://github.com/langchain-ai/deep-agents-ui

🔥91👍1

4 Dec 2025, 13:20 UTC≈2,290 views20 reactionsread 31 August 2026
Video

📣Local-Deep-Agents-from-Scratch (Видео 7 минут) Deep-Agents - это новое поколение LLM-агентов, рассчитанных на: ✨длительные горизонты (десятки–сотни шагов), ✨работу с большим количеством инструментов, ✨планирование и постоянное само-корректирование, ✨использование внешней памяти (файлы), ✨разделение задач между субагентами. 🚀 Используя эти принципы, вы можете создавать: аналитические агенты, исследовательские сист

🔥15🙏3👍2

3 Dec 2025, 11:15 UTC≈1,720 views26 reactionsread 31 August 2026
Photo

📣Всем привет! Следующая интересная тема будет «Deep Agents» это новое поколение LLM-агентов, рассчитанных на: ✨длительные горизонты (десятки–сотни шагов), ✨работу с большим количеством инструментов, ✨планирование и постоянное само-корректирование, ✨использование внешней памяти (файлы), ✨разделение задач между субагентами. 🧠 Готовлю обзор по материалам учебного курса: https://academy.langchain.com/courses/deep-agen

👍13🔥1011🙏1

28 Nov 2025, 08:36 UTC≈1,830 views21 reactionsread 31 August 2026
Video

🧠 Local Deep Researcher — полностью локальный ассистент для глубоких веб-исследований (Видео 5 минут) См. 📘 https://t.me/AiExp01/139 🛠 https://github.com/kvoloshenko/LocalDeepResearcher_01

🔥13👍5🙏21

28 Nov 2025, 07:23 UTC≈1,810 views27 reactionsread 31 August 2026

🧠 Local Deep Researcher — полностью локальный ассистент для глубоких веб-исследований Хотите полноценного AI-исследователя у себя на компьютере — без подписок, без облака, полностью бесплатно? Теперь это реально. См. подробности здесь: https://github.com/kvoloshenko/LocalDeepResearcher_01 . Local Deep Researcher — это открытый проект от LangChain, который позволяет запускать полностью локальный Deep Research-ассисте

🔥213👍21

23 Nov 2025, 13:32 UTC≈1,480 views13 reactionsread 31 August 2026
Video

✍️ Заключительная третья часть: Swarm (Multi-Agent) Видео 12 минут См. подробнее с исходниками здесь: https://github.com/kvoloshenko/LocalMultiAgents_01/tree/main/Python/Swarm

👍12🔥1

23 Nov 2025, 06:00 UTC≈1,880 views19 reactionsread 31 August 2026

✍️ Завершение серии про локальные AI-агенты с LangGraph + Ollama. Выложил третий пример — про Swarm (рой) Вот ссылка https://github.com/kvoloshenko/LocalMultiAgents_01/tree/main/Python/Swarm В рамках данного проекта мы разобрали три уровня сложности локальных AI-агентов: 1. 📝 Single-agent: Drafter — одиночный агент для подготовки и правки документов 👉 Пост: https://t.me/AiExp01/133 , Видео: https://t.me/AiExp01/13

🔥97👍3

22 Nov 2025, 11:42 UTC≈1,370 views13 reactionsread 31 August 2026
Video

✍️ Вторая часть: Supervisor (Multi-Agent) Видео 12 минут См. подробнее с исходниками здесь: https://github.com/kvoloshenko/LocalMultiAgents_01/blob/main/Python/Supervisor/README.md

👍9🔥3🙏1

21 Nov 2025, 20:46 UTC≈1,430 views20 reactionsread 31 August 2026

✍️ Вторая часть: Supervisor (Multi-Agent) Продолжаю серию про локальные AI-агенты с LangGraph + Ollama. Выложил второй пример — про Supervisor (Multi-Agent). Если в Drafter всё делал один агент, то здесь мы переходим к команде агентов, которыми управляет Supervisor. 🧩 Состав системы В проекте два специализированных агента: 1. research_agent — имитация веб-поиска через инструмент web_search(query) — умеет «доставать

🔥126👍1👏1

20 Nov 2025, 20:08 UTC≈1,370 views25 reactionsread 31 August 2026
Video

✍️ Первая часть: Drafter (Single AI Agent) Видео 9 минут См. подробнее с исходниками здесь: https://github.com/kvoloshenko/LocalMultiAgents_01/blob/main/Python/Agent_04_Drafter/README.md

👍18👏4💘2🔥1

Showing the 12 most recent of 20 posts we hold for @AiExp01. 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

AI Университет
@neural_university_webinar · 37,547
Telegram ranks this channel #1 of 96 here — alongside 95 others — read 31 August 2026
Промты для нейросетей
@iidlyabi · 22,600
Telegram ranks this channel #34 of 87 here — alongside 86 others — read 20 September 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“AI Experience Exchange” (@AiExp01), 2,272 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/AiExp01.

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.