Channel

AI Lab

@AISystemAgentLab

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

4,614subscribers

-667 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID	-1003308303690
Type	Channel
Username	@AISystemAgentLab
Created	Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded	7 August 2026
Last confirmed live	25 September 2026
Measurements held	15
Confirmed unchanged	1 time, most recently 25 September 2026
On Telegram	t.me/AISystemAgentLab

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 13 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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

15 measurements spanning 50 days, net -667. 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 4,514–5,381 and does not start at zero.

Measurement log — every subscribers count we have recorded
Measured (UTC)	Subscribers	Change
25 Sept 2026, 14:59	4,614	-108
16 Sept 2026, 15:40	4,722	-29
12 Sept 2026, 10:39	4,751	-42
8 Sept 2026, 16:36	4,793	-81
3 Sept 2026, 09:37	4,874	-47
31 Aug 2026, 11:35	4,921	-38
28 Aug 2026, 16:06	4,959	-32
25 Aug 2026, 17:34	4,991	-38
22 Aug 2026, 13:54	5,029	-50
19 Aug 2026, 12:39	5,079	-42
16 Aug 2026, 17:48	5,121	-54
13 Aug 2026, 12:37	5,175	-32
10 Aug 2026, 15:31	5,207	-67
7 Aug 2026, 11:15	5,274	-7
7 Aug 2026, 01:16	5,281	first reading

Engagement

25 posts held, back to 19 July 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 8 pages 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 25 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

32 reactions across 19 posts, in 3 distinct kinds. The most used accounts for 40.6% of them.

Every reaction kind recorded on the sample, most used first
Reaction	Count	Share
👍	13	40.6%
❤	10	31.3%
🔥	9	28.1%

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 21 of the 25 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 32 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 19 July 2026 to 11 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

11 Aug 2026, 06:48 UTC119 viewsread 12 August 2026

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Your inbox is not a writing problem. It is a decision queue. Most people ask AI to reply to emails. Too early. First, make it choose the action. 4 lanes: REPLY NOW - a real next step, and you own it. AI drafts; you send. DELEGATE - create a clean handoff for the right owner. WAIT - another person, date or missing detail comes first. Set a follow-up trigger. ARCHIVE - no action. Keep it searchable, not attention-hu…

Signed BotAdminAIWorkflowLab

10 Aug 2026, 09:33 UTC168 views0 reactionsread 12 August 2026

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Stop looking for one perfect AI. Build a 3-lane AI task router instead. The useful question is not "Which model is best?" It is: "Which model should handle this job?" FAST LANE Summaries, extraction, rewrites, inbox drafts, first-pass research. Use a fast, low-cost model. DEEP LANE Strategy, product specs, hard reasoning, coding and reviews. Use your strongest model. CREATIVE LANE Hooks, campaign angles, scripts…

Signed BotAdminAIWorkflowLab

8 Aug 2026, 14:24 UTC220 views1 reactionsread 12 August 2026

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New here, or lost in the feed? 10 AI Lab practical materials worth saving: FULL PDF GUIDES 1. First AI Telegram bot - https://t.me/AISystemAgentLab/106 2. Personal Task Bot with Memory - https://t.me/AISystemAgentLab/119 3. OpenClaw Practical Guide - https://t.me/AISystemAgentLab/122 4. AI Customer Reply Assistant - https://t.me/AISystemAgentLab/173 PRACTICAL STARTERS 5. Market Research Tracker - https://t.me/AISy…

🔥1

Signed BotAdminAIWorkflowLab

8 Aug 2026, 05:53 UTC216 viewsread 12 August 2026

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Scope creep rarely arrives as a big demand. It usually sounds like: "While you're there, can we also add this?" Use AI as a Scope Creep Detector before you say yes. Keep one approved scope note: outcome | deliverables | timeline | exclusions | assumptions Then use this prompt: "Compare this new request with the approved project brief. Categorize every element as: within scope, clarification needed, new work, or r…

Signed BotAdminAIWorkflowLab

7 Aug 2026, 06:59 UTC230 viewsread 12 August 2026

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Your best marketing language is probably already in your inbox. Build an AI Proof Vault: a library of real, checkable customer evidence for sales, landing pages, content and case studies. For every useful signal, save: verbatim quote | source | outcome claimed | context | proof status | possible use Prompt: "Extract only explicit customer claims and verbatim quotes from these messages. Return: exact quote, source,…

Signed BotAdminAIWorkflowLab

6 Aug 2026, 07:23 UTC232 views3 reactionsread 12 August 2026

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Do not let AI "clean" a spreadsheet in one click. First make it explain what it wants to change. AI Spreadsheet Cleanup: 1. Work on a copy. Keep raw data untouched. 2. Ask for a read-only Data Health Report: types, blanks, duplicate candidates, inconsistent labels, suspicious values and uncertain cases. 3. Request a Cleanup Plan: every transformation, why it matters, affected rows and possible loss. 4. Apply only …

❤2👍1

Signed BotAdminAIWorkflowLab

5 Aug 2026, 08:25 UTC237 views1 reactionsread 12 August 2026

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Most people test AI tools the wrong way. They ask: "What can this do?" Ask: "Can this improve one real job this week?" Use an AI Experiment Card: 1. Job - exact repeat to improve 2. Baseline - current time and quality 3. Real sample - five actual examples 4. AI setup - one tool, one prompt 5. Review - accuracy, usefulness, tone, time saved 6. Decision - scale, improve, or leave it alone Prompt: "Turn this idea i…

🔥1

Signed BotAdminAIWorkflowLab

4 Aug 2026, 07:28 UTC270 views0 reactionsread 12 August 2026

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Do not automate a task just because AI can do it. First find the friction worth removing. Try an AI Friction Log for five workdays. Every time work slows down, record: trigger | friction | frequency | minutes lost | current workaround | error risk Do not solve anything yet. Collect evidence. Then ask AI: "Cluster repeated problems and rank them by frequency x time lost x error risk. For the top 3, recommend: eli…

Signed BotAdminAIWorkflowLab

3 Aug 2026, 13:37 UTC288 views1 reactionsread 12 August 2026

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Most work does not get stuck because you forgot a task. It gets stuck because you forgot who has the next move. Build an AI Waiting List. Track anything you cannot move forward alone: client approval, teammate's file, vendor quote, promised intro, manager's decision. Use six fields: item | waiting on | why it matters | last touch | due date | next move Weekly prompt: "Review this waiting list. Flag overdue items…

🔥1

Signed BotAdminAIWorkflowLab

2 Aug 2026, 07:09 UTC319 views1 reactionsread 12 August 2026

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Your network does not need more DMs. It needs better memory. AI Relationship Radar Important people can disappear behind urgent work: a client you promised to update, a former colleague who needs an intro, a mentor you meant to thank. Build one private table: person | context | last exchange | open loop | next helpful action | next review date Then run a 15-minute weekly AI review: "Identify promised follow-ups,…

👍1

Signed BotAdminAIWorkflowLab

1 Aug 2026, 05:05 UTC325 views1 reactionsread 12 August 2026

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Do not use AI to win a hard conversation. Use it to prepare for one. Before a feedback talk, client reset, salary conversation or cofounder disagreement, ask AI to separate what happened from the story you are telling yourself. 1. Paste a redacted situation: your goal, relationship, facts, what you need and the outcome that is not acceptable. 2. Prompt: "Act as a neutral conversation-prep coach. Separate: facts,…

👍1

Signed BotAdminAIWorkflowLab

31 Jul 2026, 19:34 UTC308 views1 reactionsread 12 August 2026

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Your AI is not always hallucinating. Sometimes it is faithfully repeating an old document. Pricing sheets, FAQs, sales decks and SOPs quietly expire. Then an AI assistant gives a confident answer that was correct six months ago. Run a Knowledge Decay Audit. 1. Start with pricing, policies, product availability, customer FAQs, sales materials and operational instructions. 2. Prompt: "Audit these documents for kn…

❤1

Signed BotAdminAIWorkflowLab

Showing the 12 most recent of 25 posts we hold for @AISystemAgentLab. 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.

Mentions

Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

Technology Review
@technology_tg · 8,2253 posts Business Success Tips
@BusinessSuccessTips · 1,7131 post

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

“AI Lab” (@AISystemAgentLab), 4,614 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/AISystemAgentLab.

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.