ИИволюция 👾
Авторский канал Сергея Пахандрина про AI, нейросети, AI-разработку, ChatGPT (и другие LLM). Строю AI-first компанию. Рассказываю о своём опыте и экспериментах с AI. По всем вопросам: @pakhandrin РКН: https://clck.ru/3QJLiL В ВП и папках не участвую
Show more📈 Analytical overview of Telegram channel ИИволюция 👾
Channel ИИволюция 👾 (@ai_volution) in the Russian language segment is an active participant. Currently, the community unites 11 537 subscribers, ranking 10 828 in the Technologies & Applications category and 56 932 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 11 537 subscribers.
According to the latest data from 19 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 45 over the last 30 days and by 3 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 26.19%. Within the first 24 hours after publication, content typically collects 18.41% reactions from the total number of subscribers.
- Post reach: On average, each post receives 3 021 views. Within the first day, a publication typically gains 2 124 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 31.
- Thematic interests: Content is focused on key topics such as claude, openai, gemini, opus, браузер.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Авторский канал Сергея Пахандрина про AI, нейросети, AI-разработку, ChatGPT (и другие LLM). Строю AI-first компанию. Рассказываю о своём опыте и экспериментах с AI.
По всем вопросам: @pakhandrin
РКН: https://clck.ru/3QJLiL
В ВП и папках не участвую”
Thanks to the high frequency of updates (latest data received on 20 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
## Continuity Ledger (compaction-safe) Maintain a single Continuity Ledger for this workspace in `http://CONTINUITY.md`. The ledger is the canonical session briefing designed to survive context compaction; do not rely on earlier chat text unless it’s reflected in the ledger. ### How it works - At the start of every assistant turn: read `http://CONTINUITY.md`, update it to reflect the latest goal/constraints/decisions/state, then proceed with the work. - Update `http://CONTINUITY.md` again whenever any of these change: goal, constraints/assumptions, key decisions, progress state (Done/Now/Next), or important tool outcomes. - Keep it short and stable: facts only, no transcripts. Prefer bullets. Mark uncertainty as `UNCONFIRMED` (never guess). - If you notice missing recall or a compaction/summary event: refresh/rebuild the ledger from visible context, mark gaps `UNCONFIRMED`, ask up to 1–3 targeted questions, then continue. ### `functions.update_plan` vs the Ledger - `functions.update_plan` is for short-term execution scaffolding while you work (a small 3–7 step plan with pending/in_progress/completed). - `http://CONTINUITY.md` is for long-running continuity across compaction (the “what/why/current state”), not a step-by-step task list. - Keep them consistent: when the plan or state changes, update the ledger at the intent/progress level (not every micro-step). ### In replies - Begin with a brief “Ledger Snapshot” (Goal + Now/Next + Open Questions). Print the full ledger only when it materially changes or when the user asks. ### `http://CONTINUITY.md` format (keep headings) - Goal (incl. success criteria): - Constraints/Assumptions: - Key decisions: - State: - Done: - Now: - Next: - Open questions (UNCONFIRMED if needed): - Working set (files/ids/commands):
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