Paweł Domański
2089 lines
6.1 MiB
Plaintext
2089 lines
6.1 MiB
Plaintext
Jasne — mogę „przerobić” ten obrazek na **czytelny diagram** w formie tekstowej (np. **Mermaid** do wklejenia w Markdown / Notion / GitHub) albo jako **nowy obrazek** (czysty diagram). Na początek przepisałem zawartość z grafiki i zrobiłem z tego diagram.
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## 1) Diagram w Mermaid (flowchart)
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Wklej to np. do pliku `.md` albo edytora wspierającego Mermaid:
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flowchart TD
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A[Idea trigger from Slack/Telegram] --> B[Parse topic + intent]
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B --> C[X/Twitter discourse research]
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C --> D[Query internal KB context]
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D --> E[Video pitch semantic dedupe]
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E --> F{Similarity above 40%?}
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F -->|Yes| G[Block duplicate pitch]
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F -->|No| H[Build hooks + outline + sources]
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H --> I[Create Asana task]
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Jeśli chcesz wersję bardziej „procesową” (np. z numeracją kroków, innymi kształtami), też zrobię.
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***
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## 2) Diagram jako PlantUML (alternatywa)
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Jeśli korzystasz z PlantUML:
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```plantuml
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@startuml
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start
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:Idea trigger from Slack/Telegram;
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:Parse topic + intent;
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:X/Twitter discourse research;
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:Query internal KB context;
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:Video pitch semantic dedupe;
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if (Similarity above 40%?) then (Yes)
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:Block duplicate pitch;
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else (No)
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:Build hooks + outline + sources;
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:Create Asana task;
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endif
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stop
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@enduml
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```
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***
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## 3) Chcesz żebym wygenerował z tego **nowy obrazek-diagram**?
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Mogę też wygenerować czysty obraz (np. jasne tło, firmowy styl, ikony, itp.).\
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Powiedz tylko:
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1. **Styl**: minimalistyczny / korporacyjny / „hand-drawn” jak na obrazku
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2. **Kolory**: czarno-białe / zgodne z brandingiem (jakie kolory?)
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3. **Format**: poziomy / pionowy / kwadrat
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4. **Format pliku**: PNG / SVG (SVG zwykle najlepsze do diagramów)
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Jeśli napiszesz „zrób obrazek, styl X, format Y”, to od razu przygotuję wersję graficzną.
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Jasne — **to samo co poprzednio**, czyli czysty **diagram procesu** przepisany z obrazu.
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Poniżej masz **diagram w Mermaid (flowchart)**, gotowy do wklejenia do Markdown / Notion / GitHub / Obsidian.
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***
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## Diagram (Mermaid)
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flowchart TD
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%% Signal Collection
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A1[YouTube Metrics]
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A2[CRM Health]
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A3[Churn Reliability]
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A4[Social Growth]
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A5[Slack Activity]
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A6[Email Themes]
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A7[Asana Backlog]
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A8[X/Twitter Trends]
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A9[Founder Meetings]
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A10[HubSpot Pipeline]
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A1 --> B
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A2 --> B
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A3 --> B
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A4 --> B
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A5 --> B
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A6 --> B
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A7 --> B
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A8 --> B
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A9 --> B
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A10 --> B
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%% Phase 1
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B["Signal Collection (10+ sources)\n⬇\nCompact to Top 200 Signals by Confidence"]
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B --> C["Phase 1: Extract\nAnalystAgent (Ops 4.6)\nScored insights + initial recommendations"]
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%% Phase 2
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C --> D1[Growth Strategist\nScalable growth,\nasymmetric upside]
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C --> D2[Revenue Guardian\nMaximize revenue,\ncash flow protection]
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C --> D3[Risk & Legal Operator\nExecutive readiness,\nbad scenario flags]
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C --> D4[Team Dynamics Architect\nTeam health,\ncollaboration quality]
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%% Phase 3
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D1 --> E
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D2 --> E
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D3 --> E
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D4 --> E
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E["Phase 3: Consensus\nJudgeModerator (Ops 4)\nResolve disagreements\nFinal recommendation set"]
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E --> F["Phase 4: Ranking & Delivery\nPriority score =\nImpact × Confidence\n(100+ confidence = 2×)"]
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F --> G[Persist scored items to DB]
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F --> H[Deliver digest to Telegram]
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***
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## Co to przedstawia (krótko)
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* **Wiele źródeł sygnałów** → agregacja i redukcja do Top 200
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* **Faza analityczna** → wstępne insighty i rekomendacje
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* **Panel ról decyzyjnych** → różne perspektywy (wzrost, revenue, ryzyko, zespół)
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* **Konsensus** → jedna spójna rekomendacja
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* **Ranking i dystrybucja** → zapis do DB + digest
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***
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Jeśli chcesz, mogę:
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* ✅ wygenerować **obrazek-diagram (PNG / SVG)**
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* ✅ uprościć to do **jednej osi decyzyjnej**
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* ✅ przerobić na **diagram architektury systemowej**
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* ✅ przygotować **wersję pod prezentację (slide-ready)**
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Daj znać w jakim formacie i stylu.
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Jasne — **to samo co wcześniej**, czyli przepisanie tego obrazu na **czytelny diagram procesu**.
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Poniżej masz **diagram w Mermaid (flowchart)**, wiernie odwzorowujący kroki z grafiki.
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***
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## Diagram (Mermaid)
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flowchart TD
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A[Natural-language request]
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B[Intent classification]
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C[Map endpoint + object type]
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D[Validate payload]
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E[Execute HubSpot API call]
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F[Return normalized summary]
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A --> B
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B --> C
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C --> D
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D --> E
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E --> F
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***
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## Opis logiczny procesu
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1. **Natural-language request**\
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Użytkownik wysyła zapytanie w języku naturalnym.
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2. **Intent classification**\
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System rozpoznaje intencję (np. create, update, read, search).
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3. **Map endpoint + object type**\
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Intencja mapowana jest na odpowiedni endpoint HubSpot i typ obiektu (contact, deal, company itd.).
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4. **Validate payload**\
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Walidacja struktury, wymaganych pól i typów danych.
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5. **Execute HubSpot API call**\
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Wykonanie faktycznego wywołania API.
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6. **Return normalized summary**\
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Odpowiedź jest normalizowana i zwracana w spójnym formacie.
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***
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Jeśli chcesz, mogę:
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* ✅ wygenerować **czysty diagram jako obraz (PNG / SVG)**
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* ✅ rozbudować diagram o **warunki błędów i retry logic**
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* ✅ przerobić to na **diagram sekwencji (sequence diagram)**
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* ✅ dostosować pod **architekturę MCP / tool-calling / agent framework**
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Wystarczy powiedzieć, w jakim formacie i stylu.
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Okej — scalam oba obrazki w **jeden spójny diagram procesu** (Mermaid), z uwzględnieniem pętli „edycja → ponowna akceptacja”.
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## Diagram (Mermaid) — połączone w jedno
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flowchart TD
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%% --- Triggers / context ---
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subgraph T["How tasks get created (triggers)"]
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T1[Meeting happens\nFathom records transcript]
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T2[You say:\n“Add a task to follow up with X by Friday”]
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T3[Planning session\nBrainstorm next steps]
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end
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%% --- Extraction & enrichment ---
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T1 --> A[Claude extracts:\nactions, owners, deadlines]
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T2 --> A
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T3 --> A
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A --> B["Cross-references with CRM:\nWho is this person?\nWhat company?"]
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B --> C[Shows you the task list\nfor review and approval]
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%% --- Approval decision ---
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C --> D{You approve?}
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%% --- If edit needed ---
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D -->|Edit / No| E[You adjust priorities,\ndates, or wording]
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E --> C
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%% --- If approved ---
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D -->|Yes| F[Tasks created in Todoist]
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F --> G[Confirmation sent\nback to your chat]
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### Co ten połączony proces pokazuje (w skrócie)
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* **Wejścia**: spotkanie z transkrypcją, komenda w rozmowie, albo sesja planowania
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* **Ekstrakcja**: wyciągnięcie akcji / właścicieli / deadline’ów
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* **Wzbogacenie**: dopasowanie osób i firm w CRM
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* **Kontrola użytkownika**: lista zadań do przeglądu
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* **Decyzja**: akceptujesz → tworzy w Todoist i wraca potwierdzenie; nie akceptujesz → edytujesz i wracasz do przeglądu
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Jeśli chcesz, mogę też przygotować:
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* wersję **PlantUML**,
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* wariant z **obsługą błędów** (brak matchu w CRM, brak ownera, konflikt terminów),
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* albo wersję „system design” (komponenty: transkrypcja → ekstraktor → enrichment → UI approve → integracja Todoist).
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Jasne — **kolejny diagram**, przepisany z obrazu na **jeden spójny flow** (tak samo jak poprzednie).
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Poniżej masz **diagram w Mermaid**, obejmujący **ciche logowanie usage + zapytania ad‑hoc + raportowanie kosztów**.
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***
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## Diagram (Mermaid)
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***
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flowchart TD
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%% --- Background logging ---
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subgraph BG["Runs silently in the background"]
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BG1[Every AI call gets logged\nResearch, analysis, images,\ncron jobs, all of it]
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end
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BG1 --> L[Usage log\nprovider, model, tokens,\ntask type, cost]
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%% --- User questions ---
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subgraph Q["You ask anytime"]
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Q1["How much did I spend this week?"]
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Q2["Which workflows cost the most?"]
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Q3[Show me the 30-day trend]
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end
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Q1 --> R
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Q2 --> R
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Q3 --> R
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L --> R
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%% --- Reporting ---
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R[Claude queries the logs\nand generates a report]
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R --> O1[Cost breakdown\nby task type and provider]
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R --> O2[Spending trend\nover time]
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R --> O3[Routing suggestions\nUse cheaper models\nfor simple tasks]
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O3 --> S[Saves money without\nsacrificing quality]
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## Co ten proces pokazuje (w skrócie)
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* **Automatyczne logowanie** każdego wywołania AI (model, tokeny, koszt, typ zadania)
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* **Zapytania na żądanie** (koszt tygodniowy, najdroższe workflow, trendy)
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* **Jedno źródło prawdy** → raport generowany z logów
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* **Wyniki raportu**:
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* rozbicie kosztów,
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* analiza trendów,
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* rekomendacje optymalizacyjne (routing modeli)
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* **Efekt końcowy**: realne oszczędności bez spadku jakości
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***
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Jeśli chcesz następny krok:
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* 🔁 **połączyć to z wcześniejszymi diagramami** (task creation + API + cost control),
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* 🧱 przerobić na **diagram architektury systemowej** (logs, storage, query layer),
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* 📊 albo wygenerować **obrazek-diagram (SVG/PNG)** w spójnym stylu,
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— daj tylko znać.
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Pewnie — z tych dwóch grafik zrobię **jedną, spójną reprezentację**:
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1. „Integrations Matrix” (kto do czego służy) oraz
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2. „Scheduler / Jobs pattern” (co godzinę/dziennie/tygodniowo + wspólny wzorzec wykonania).
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Poniżej masz to w dwóch formach: **(A) diagram Mermaid** + **(B) tabela (czytelna “matrix”)**.
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***
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## A) Diagram (Mermaid) — Integracje + harmonogram + wspólny wzorzec joba
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> Jeśli chcesz, mogę dodać bardziej szczegółowe powiązania (np. „ED2 -> YouTube APIs + Asana task”, „FA -> Todoist”) — na razie zrobiłem mapowanie lekkie, żeby diagram był czytelny.
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flowchart TD
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%% =========================
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%% Integrations / Services
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%% =========================
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subgraph S["Integrations (How each service is used)"]
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TG["Telegram\nPrimary command + reporting interface (topic-routed)"]
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SL["Slack\nSecondary trigger surface (idea/KB workflows)"]
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GW[Google Workspace\nEmail/calendar ingestion, Drive backup workflows]
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AS[Asana\nLanding zone for researched content tasks]
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TD[Todoist\nPersonal execution / task lifecycle]
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HS[HubSpot\nCRM/CMS operations via API]
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YT[YouTube APIs\nMetrics collection and time-series tracking]
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XT[X/Twitter stack\nTrend and discourse research]
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FA[Fathom path\nMeeting insight/action extraction workflows]
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GH[GitHub\nAutomated sync across repos]
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GD[Google Drive\nBackup destination with retention policy]
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BR[Brave Search\nSupplemental web search]
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FC[Firecrawl / Apify\nContent extraction and transcript fallbacks]
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end
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%% =========================
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%% Schedules
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%% =========================
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subgraph H["Scheduled automation (recurring jobs)"]
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subgraph H1["Every hour"]
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EH1[Sync code repos]
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EH2[Check CRM for changes]
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EH3[Scout for new signals]
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end
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subgraph H2["Every day"]
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ED1[Ingest emails + calendar into CRM]
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ED2[Collect YouTube analytics and competitor data]
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ED3[Run platform health checks]
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ED4[Nightly business briefing from review council]
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end
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subgraph H3["Every week"]
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EW1[Synthesize daily notes into long-term memory]
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EW2[Run planning and reminder routines]
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EW3[Housekeeping: cleanup/pruning audits]
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end
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end
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%% =========================
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%% Common job pattern
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%% =========================
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subgraph P["Every job follows the same pattern"]
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P1[Log start]
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P2[Execute task]
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P3[Log end\nstatus + summary]
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P4[Notify Telegram\nsuccess or failure]
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P5["Results visible in Telegram topics\n(without lifting a finger)"]
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P1 --> P2 --> P3 --> P4 --> P5
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end
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%% =========================
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%% Connect schedules to pattern
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%% =========================
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EH1 --> P1
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EH2 --> P1
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EH3 --> P1
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ED1 --> P1
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ED2 --> P1
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ED3 --> P1
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ED4 --> P1
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EW1 --> P1
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EW2 --> P1
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EW3 --> P1
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%% =========================
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%% Map scheduled tasks to services (light coupling)
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%% =========================
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EH1 -.uses.-> GH
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EH2 -.uses.-> HS
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EH3 -.uses.-> BR
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ED1 -.uses.-> GW
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ED1 -.uses.-> HS
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ED2 -.uses.-> YT
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ED3 -.uses.-> SL
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ED4 -.uses.-> TG
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EW1 -.uses.-> GW
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EW2 -.uses.-> TG
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EW3 -.uses.-> GD
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%% =========================
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%% Reporting/interaction hub
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%% =========================
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P4 --> TG
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***
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## B) “Integrations Matrix” jako tabela (wiernie przepisana)
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| Service | Workflow role |
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| ----------------- | ---------------------------------------------------- |
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| Telegram | Primary command + reporting interface (topic-routed) |
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| Slack | Secondary trigger surface (idea/KB workflows) |
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| Google Workspace | Email/calendar ingestion, Drive backup workflows |
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| Asana | Landing zone for researched content tasks |
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| Todoist | Personal execution / task lifecycle |
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| HubSpot | CRM/CMS operations via API |
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| YouTube APIs | Metrics collection and time-series tracking |
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| X/Twitter stack | Trend and discourse research |
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| Fathom path | Meeting insight/action extraction workflows |
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| GitHub | Automated sync across repos |
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| Google Drive | Backup destination with retention policy |
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| Brave Search | Supplemental web search |
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| Firecrawl / Apify | Content extraction and transcript fallbacks |
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***
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### Chcesz, żebym to scalił jeszcze mocniej?
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Mogę zrobić jedną z dwóch wersji:
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1. **“System architecture”** (warstwy: triggers → orchestration → integrations → storage → reporting)
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2. **“Ops view”** (observability: log start/end, metryki, alerting, retry, DLQ)
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Napisz tylko: **architektura** czy **ops**, i czy ma być w **Mermaid** czy **PlantUML**.
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Jasne — da się to zrobić dużo czytelniej 🙂 Największy problem w poprzedniej wersji to „pajęczyna” połączeń. Poprawię to tak, żeby:
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* **Integracje** były zebrane jako „katalog” (bez miliona strzałek),
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* **Harmonogram** był osobno (co godzinę / codziennie / co tydzień),
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* a **wspólny wzorzec joba** był centralny i prosty,
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* połączenia między tymi częściami były **minimalne i logiczne**.
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Poniżej masz **2 warianty Mermaid**:
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1. **widok wysokopoziomowy (najczytelniejszy)**
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2. **widok bardziej szczegółowy (ale nadal schludny)**
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***
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## 1) Widok wysokopoziomowy (polecam)
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Ten diagram pokazuje “jak to działa” bez wchodzenia w mapowanie każdej usługi do każdego joba.
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flowchart TB
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%% ==========
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%% SCHEDULES
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%% ==========
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subgraph SCH["Scheduler (recurring jobs)"]
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direction LR
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H[Every hour]
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D[Every day]
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W[Every week]
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end
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%% ==================
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%% COMMON JOB PATTERN
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%% ==================
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subgraph PAT["Common job pattern (applies to every run)"]
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direction LR
|
||
P1[Log start] --> P2[Execute task] --> P3["Log end\n(status + summary)"] --> P4["Notify Telegram\n(success/failure)"]
|
||
end
|
||
|
||
%% ==================
|
||
%% OUTPUT / REPORTING
|
||
%% ==================
|
||
OUT[Results visible in Telegram topics]
|
||
%% INTEGRATIONS CATALOG
|
||
%% ==================
|
||
subgraph INT["Integrations (service roles)"]
|
||
direction LR
|
||
TG[Telegram\nCommands + reporting]
|
||
SL[Slack\nSecondary triggers]
|
||
GW[Google Workspace\nEmail/calendar ingestion + backups]
|
||
HS[HubSpot\nCRM/CMS via API]
|
||
AS[Asana\nResearched content tasks]
|
||
TD[Todoist\nPersonal execution]
|
||
YT[YouTube APIs\nMetrics + time-series]
|
||
XT[X/Twitter\nTrends + discourse research]
|
||
FA[Fathom\nMeeting insight/action extraction]
|
||
GH[GitHub\nRepo sync]
|
||
GD[Google Drive\nBackup + retention]
|
||
BR[Brave Search\nSupplemental web search]
|
||
FC[Firecrawl/Apify\nContent extraction + transcript fallbacks]
|
||
end
|
||
|
||
%% ==========
|
||
%% FLOW
|
||
%% ==========
|
||
H --> PAT
|
||
D --> PAT
|
||
W --> PAT
|
||
|
||
P4 --> OUT
|
||
|
||
%% Optional: show that jobs use integrations (no spaghetti)
|
||
PAT -.uses.-> INT
|
||
OUT --> TG
|
||
|
||
**Dlaczego to jest czytelniejsze?**
|
||
|
||
* Integracje są “słownikiem” ról, a nie siecią połączeń.
|
||
* Harmonogram → wzorzec joba → wynik w Telegramie jest jasny w 3 krokach.
|
||
* Jest tylko jedno “meta-połączenie” `PAT -.uses.-> INT`, zamiast kilkunastu strzałek.
|
||
|
||
***
|
||
|
||
## 2) Widok szczegółowy (z zadaniami per częstotliwość, nadal bez pajęczyny)
|
||
|
||
Tu rozpisuję listę zadań w każdej częstotliwości, ale integracje nadal są podpięte **tylko tam, gdzie to naprawdę pomaga zrozumieć**.
|
||
|
||
|
||
|
||
|
||
flowchart TB
|
||
|
||
%% ==================
|
||
%% COMMON JOB PATTERN
|
||
%% ==================
|
||
subgraph PAT["Common job pattern (for each job run)"]
|
||
direction LR
|
||
P1[Log start] --> P2[Execute task] --> P3["Log end\n(status + summary)"] --> P4["Notify Telegram\n(success/failure)"]
|
||
end
|
||
P4 --> OUT[Results visible in Telegram topics]
|
||
|
||
%% ==========
|
||
%% HOURLY
|
||
%% ==========
|
||
subgraph H["Every hour"]
|
||
direction TB
|
||
H1[Sync code repos]
|
||
H2[Check CRM for changes]
|
||
H3[Scout for new signals]
|
||
end
|
||
|
||
%% ==========
|
||
%% DAILY
|
||
%% ==========
|
||
subgraph D["Every day"]
|
||
direction TB
|
||
D1[Ingest emails + calendar into CRM]
|
||
D2[Collect YouTube analytics\n+ competitor data]
|
||
D3[Run platform health checks]
|
||
D4["Nightly business briefing\n(from review council)"]
|
||
end
|
||
|
||
%% ==========
|
||
%% WEEKLY
|
||
%% ==========
|
||
subgraph W["Every week"]
|
||
direction TB
|
||
W1[Synthesize daily notes\ninto long-term memory]
|
||
W2[Planning + reminder routines]
|
||
W3[Housekeeping:\ncleanup/pruning audits]
|
||
end
|
||
|
||
%% Connect each job list to the common pattern
|
||
H1 --> P1
|
||
H2 --> P1
|
||
H3 --> P1
|
||
D1 --> P1
|
||
D2 --> P1
|
||
D3 --> P1
|
||
D4 --> P1
|
||
W1 --> P1
|
||
W2 --> P1
|
||
W3 --> P1
|
||
|
||
%% ==================
|
||
%% INTEGRATIONS (minimal but useful mapping)
|
||
%% ==================
|
||
subgraph INT["Key integrations (where they matter in schedules)"]
|
||
direction LR
|
||
GH[GitHub]
|
||
HS[HubSpot]
|
||
GW[Google Workspace]
|
||
YT[YouTube APIs]
|
||
BR[Brave Search]
|
||
GD[Google Drive]
|
||
TG[Telegram]
|
||
end
|
||
|
||
%% Minimal links (only the most illustrative ones)
|
||
H1 -.-> GH
|
||
H2 -.-> HS
|
||
H3 -.-> BR
|
||
|
||
D1 -.-> GW
|
||
D1 -.-> HS
|
||
D2 -.-> YT
|
||
W3 -.-> GD
|
||
|
||
P4 --> TG
|
||
|
||
***
|
||
|
||
## Dodatkowe poprawki czytelności (mogę wdrożyć od ręki)
|
||
|
||
Jeśli powiesz „tak”, to zrobię jeszcze lepszą wersję w Twoim stylu:
|
||
|
||
1. **Kolory i klasy** (np. harmonogram = niebieski, pattern = zielony, integracje = szare)
|
||
2. **Ikony / emoji** (📅 scheduler, 🧾 logi, 🔔 notyfikacje, 🔌 integracje)
|
||
3. **Dwa poziomy szczegółowości w jednym pliku** (Overview + Detailed)
|
||
|
||
***
|
||
|
||
### Pytanie (żeby trafić idealnie)
|
||
|
||
Wolisz, żeby finalnie diagram był:
|
||
|
||
* **bardziej “architektura/system design”** (warstwy, komponenty, przepływ danych),
|
||
czy
|
||
* **bardziej “ops/runbook”** (logowanie, retry, alerty, statusy, SLA)?
|
||
|
||
Napisz jedno słowo: **architektura** albo **ops**, a ja dopracuję wariant docelowy.
|
||
|
||
|
||
|
||
Jasne — poniżej masz **czytelny diagram procesu**, przepisany z tego obrazu i uporządkowany logicznie. Bez dodatkowych komentarzy, dokładnie jak wcześniej.
|
||
|
||
***
|
||
|
||
## Diagram (Mermaid) — Backup & Recovery
|
||
|
||
|
||
|
||
|
||
flowchart TB
|
||
|
||
%% =====================
|
||
%% WHAT GETS PROTECTED
|
||
%% =====================
|
||
subgraph W["What gets protected"]
|
||
direction LR
|
||
W1[CRM]
|
||
W2[Knowledge Base]
|
||
W3[Video Pitch DB]
|
||
W4[Analytics]
|
||
W5[Business Analysis]
|
||
W6[Cron Logs]
|
||
W7[Automated Backups\nTimestamped snapshots\nwith manifest]
|
||
end
|
||
|
||
%% =====================
|
||
%% STORAGE & SYNC
|
||
%% =====================
|
||
GD[Google Drive\nRetention policy enabled\nOld backups auto-pruned]
|
||
CR[Code Repo\nAuto-synced via hourly git push]
|
||
GH[GitHub\nAlways up to date]
|
||
|
||
W --> GD
|
||
W3 --> GD
|
||
W6 --> GD
|
||
|
||
CR --> GH
|
||
|
||
%% =====================
|
||
%% FAILURE / RECOVERY
|
||
%% =====================
|
||
subgraph R["If something goes wrong"]
|
||
direction LR
|
||
R1[Pull backup from Drive]
|
||
R2[Restore to original paths]
|
||
R3[Verify CRM,\nKB, gateway jobs]
|
||
R4[Back online]
|
||
end
|
||
|
||
GD --> R1
|
||
R1 --> R2 --> R3 --> R4
|
||
|
||
***
|
||
|
||
### Co ten diagram pokazuje (w skrócie)
|
||
|
||
* **Zakres ochrony**: dane operacyjne, wiedza, analityka, logi i bazy
|
||
* **Backup**: automatyczne, wersjonowane snapshoty z manifestem
|
||
* **Retencja**: Google Drive z automatycznym pruningiem starych kopii
|
||
* **Kod**: repozytoria synchronizowane godzinowo i spójne z GitHubem
|
||
* **Recovery**: prosty, liniowy proces przywracania i weryfikacji
|
||
|
||
Jeśli chcesz:
|
||
|
||
* wersję **jeszcze bardziej minimalistyczną (1 ekran)**
|
||
* albo wariant **“architecture view” vs “ops / disaster recovery view”**
|
||
|
||
— daj znać, w którą stronę iść.
|
||
|
||
|
||
|
||
|
||
Jasne — poniżej masz **czytelny, uproszczony diagram procesu**, przepisany z obrazu i uporządkowany logicznie, tak jak w poprzednich krokach.
|
||
|
||
***
|
||
|
||
## Diagram (Mermaid) — uczenie się w czasie bez retrainingu
|
||
|
||
|
||
|
||
|
||
flowchart TD
|
||
|
||
%% ==========
|
||
%% DAILY INPUTS
|
||
%% ==========
|
||
subgraph DAY["During the day"]
|
||
D1[Conversations with you]
|
||
D2[Tasks completed]
|
||
D3[Mistakes made]
|
||
end
|
||
|
||
%% ==========
|
||
%% DAILY CAPTURE
|
||
%% ==========
|
||
N[Daily Notes\nRaw capture of everything that happened]
|
||
|
||
D1 --> N
|
||
D2 --> N
|
||
D3 --> N
|
||
|
||
%% ==========
|
||
%% LEARNINGS
|
||
%% ==========
|
||
L[Learnings /\nCorrective patterns\nso mistakes don't repeat]
|
||
|
||
D3 --> L
|
||
|
||
%% ==========
|
||
%% SYNTHESIS
|
||
%% ==========
|
||
W[Weekly Synthesis\nDistill patterns and preferences]
|
||
|
||
N --> W
|
||
|
||
%% ==========
|
||
%% LONG-TERM MEMORY
|
||
%% ==========
|
||
M[Long-Term Memory\nStable preferences,\nlearned behaviors]
|
||
|
||
W --> M
|
||
L --> M
|
||
|
||
%% ==========
|
||
%% OUTCOME
|
||
%% ==========
|
||
O[System gets better over time\nwithout being retrained]
|
||
|
||
M --> O
|
||
|
||
***
|
||
|
||
## Jak to czytać (krótko i jasno)
|
||
|
||
**1. Wejścia dzienne**
|
||
|
||
* rozmowy,
|
||
* wykonane zadania,
|
||
* popełnione błędy.
|
||
|
||
**2. Daily Notes**\
|
||
→ pełny, surowy zapis dnia (bez interpretacji).
|
||
|
||
**3. Weekly Synthesis**\
|
||
→ destylacja wzorców i preferencji z wielu dni.
|
||
|
||
**4. Learnings / Corrective patterns**\
|
||
→ bezpośrednie wnioski z błędów, żeby się nie powtarzały.
|
||
|
||
**5. Long-Term Memory**\
|
||
→ stabilne preferencje i wyuczone zachowania.
|
||
|
||
**6. Efekt końcowy**\
|
||
→ system **poprawia się w czasie**, bez ponownego trenowania modelu.
|
||
|
||
***
|
||
|
||
Jeśli chcesz, mogę:
|
||
|
||
* ✅ połączyć ten diagram z **schedulerem (daily / weekly jobs)**,
|
||
* ✅ zrobić wersję **architektury pamięci (short‑term / mid‑term / long‑term)**,
|
||
* ✅ albo uprościć go do **jednego slajdu pitchowego**.
|
||
|
||
Powiedz tylko, w którą stronę idziemy.
|
||
|
||
|
||
|
||
|
||
|
||
Jasne — zrobiłem **pełny pakiet**:\
|
||
✅ **kolory i klasy (spójny styl)**, ✅ **ikony/emoji**, ✅ **2 poziomy szczegółowości w jednym pliku (Overview + Detailed)**, ✅ dodatkowo **oddzielny widok “OPS/Runbook”** (logi, retry, alerty, koszty).
|
||
|
||
Poniżej masz gotowy “wkład” do jednego pliku `.md` — po prostu kopiuj/wklej.
|
||
|
||
***
|
||
|
||
# 1) OVERVIEW — Architektura (najczytelniejszy widok)
|
||
|
||
|
||
|
||
|
||
%%{init: {
|
||
"theme": "base",
|
||
"themeVariables": {
|
||
"background": "#0b0f14",
|
||
"primaryColor": "#111827",
|
||
"primaryTextColor": "#e5e7eb",
|
||
"primaryBorderColor": "#374151",
|
||
"lineColor": "#9ca3af",
|
||
"secondaryColor": "#0f172a",
|
||
"tertiaryColor": "#111827",
|
||
"fontFamily": "Inter, ui-sans-serif, system-ui"
|
||
}
|
||
}}%%
|
||
flowchart TB
|
||
|
||
%% ===== Styles =====
|
||
classDef trigger fill:#1f2937,stroke:#60a5fa,color:#e5e7eb,stroke-width:1px;
|
||
classDef schedule fill:#0f172a,stroke:#38bdf8,color:#e5e7eb,stroke-width:1px;
|
||
classDef pattern fill:#052e2b,stroke:#34d399,color:#e5e7eb,stroke-width:1px;
|
||
classDef integ fill:#111827,stroke:#a78bfa,color:#e5e7eb,stroke-width:1px;
|
||
classDef store fill:#111827,stroke:#f59e0b,color:#e5e7eb,stroke-width:1px;
|
||
classDef output fill:#111827,stroke:#f472b6,color:#e5e7eb,stroke-width:1px;
|
||
|
||
%% ===== Layers =====
|
||
subgraph TRIG["🧲 Triggers / wejścia"]
|
||
direction LR
|
||
T1["💬 Telegram\nkomendy + raportowanie"]
|
||
T2["🧵 Slack\npoboczne triggery"]
|
||
T3["📝 Fathom\ntranskrypcje/akcje ze spotkań"]
|
||
end
|
||
class T1,T2,T3 trigger;
|
||
|
||
subgraph SCH["⏱️ Scheduler (cykliczne joby)"]
|
||
direction LR
|
||
S1["🕐 Co godzinę"]
|
||
S2["📅 Codziennie"]
|
||
S3["📆 Co tydzień"]
|
||
end
|
||
class S1,S2,S3 schedule;
|
||
|
||
subgraph RUN["🧠 Orkiestracja (wspólny wzorzec uruchomienia)"]
|
||
direction LR
|
||
P1["🧾 Log start"] --> P2["⚙️ Execute task"] --> P3["✅/❌ Log end\nstatus + summary"] --> P4["🔔 Notify Telegram\nsuccess/failure"]
|
||
end
|
||
class P1,P2,P3,P4 pattern;
|
||
|
||
subgraph DATA["🗄️ Dane / storage"]
|
||
direction LR
|
||
D1["📊 Usage logs\n(provider/model/tokens/cost)"]
|
||
D2["🧩 Operacyjne DB\nwyniki jobów / stany"]
|
||
end
|
||
class D1,D2 store;
|
||
|
||
subgraph INT["🔌 Integrations (katalog ról)"]
|
||
direction LR
|
||
I1["📎 Google Workspace\nmail/kalendarz + backup"]
|
||
I2["🏢 HubSpot\nCRM/CMS via API"]
|
||
I3["✅ Todoist\npersonal execution"]
|
||
I4["📋 Asana\nlanding zone dla research"]
|
||
I5["📈 YouTube APIs\nmetryki + time-series"]
|
||
I6["🐦 X/Twitter\ntrendy + dyskurs"]
|
||
I7["🐙 GitHub\nsync repo"]
|
||
I8["🗃️ Google Drive\nretencja/backup"]
|
||
I9["🔎 Brave Search\nweb search (uzupełniająco)"]
|
||
I10["🧰 Firecrawl/Apify\nekstrakcja treści/fallbacki"]
|
||
end
|
||
class I1,I2,I3,I4,I5,I6,I7,I8,I9,I10 integ;
|
||
|
||
OUT["📌 Wyniki widoczne w Telegram topics\n(bez ręcznej roboty)"]
|
||
class OUT output;
|
||
|
||
%% ===== Connections (minimum, no spaghetti) =====
|
||
TRIG --> RUN
|
||
SCH --> RUN
|
||
RUN --> DATA
|
||
RUN -.używa.-> INT
|
||
RUN --> OUT
|
||
OUT --> T1
|
||
|
||
|
||
|
||
**Co tu zyskujesz:** zero pajęczyn, jasne warstwy, i od razu widać “centrum” (wzorzec uruchomienia).
|
||
|
||
***
|
||
|
||
# 2) DETAILED — Harmonogram (co godzinę / dzień / tydzień) + ten sam wzorzec
|
||
|
||
|
||
|
||
%%{init: {
|
||
"theme": "base",
|
||
"themeVariables": {
|
||
"background": "#0b0f14",
|
||
"primaryColor": "#111827",
|
||
"primaryTextColor": "#e5e7eb",
|
||
"primaryBorderColor": "#374151",
|
||
"lineColor": "#9ca3af",
|
||
"fontFamily": "Inter, ui-sans-serif, system-ui"
|
||
}
|
||
}}%%
|
||
flowchart TB
|
||
|
||
classDef job fill:#0f172a,stroke:#38bdf8,color:#e5e7eb,stroke-width:1px;
|
||
classDef pattern fill:#052e2b,stroke:#34d399,color:#e5e7eb,stroke-width:1px;
|
||
classDef integ fill:#111827,stroke:#a78bfa,color:#e5e7eb,stroke-width:1px;
|
||
classDef output fill:#111827,stroke:#f472b6,color:#e5e7eb,stroke-width:1px;
|
||
|
||
%% Common pattern (single place)
|
||
subgraph PAT["🧠 Common job pattern (dla każdego uruchomienia)"]
|
||
direction LR
|
||
P1["🧾 Log start"] --> P2["⚙️ Execute task"] --> P3["✅/❌ Log end\nstatus + summary"] --> P4["🔔 Notify Telegram\nsuccess/failure"]
|
||
end
|
||
class P1,P2,P3,P4 pattern;
|
||
|
||
OUT["📌 Wyniki w Telegram topics"]
|
||
class OUT output;
|
||
P4 --> OUT
|
||
|
||
%% Schedules
|
||
subgraph H["🕐 Every hour"]
|
||
direction TB
|
||
H1["🐙 Sync code repos"]:::job
|
||
H2["🏢 Check CRM for changes"]:::job
|
||
H3["🔎 Scout for new signals"]:::job
|
||
end
|
||
|
||
subgraph D["📅 Every day"]
|
||
direction TB
|
||
D1["📎 Ingest emails + calendar into CRM"]:::job
|
||
D2["📈 Collect YouTube analytics\n+ competitor data"]:::job
|
||
D3["🩺 Run platform health checks"]:::job
|
||
D4["🗞️ Nightly business briefing\n(from review council)"]:::job
|
||
end
|
||
|
||
subgraph W["📆 Every week"]
|
||
direction TB
|
||
W1["🧠 Synthesize daily notes\ninto long-term memory"]:::job
|
||
W2["🗓️ Planning + reminder routines"]:::job
|
||
W3["🧹 Housekeeping:\ncleanup/pruning audits"]:::job
|
||
end
|
||
|
||
%% Connect all jobs into the same pattern entrypoint
|
||
H1 --> P1
|
||
H2 --> P1
|
||
H3 --> P1
|
||
D1 --> P1
|
||
D2 --> P1
|
||
D3 --> P1
|
||
D4 --> P1
|
||
W1 --> P1
|
||
W2 --> P1
|
||
W3 --> P1
|
||
|
||
%% Minimal, illustrative integrations (no clutter)
|
||
subgraph K["🔌 Key integrations (tylko tam, gdzie to wyjaśnia sens)"]
|
||
direction LR
|
||
I_GH["🐙 GitHub"]:::integ
|
||
I_HS["🏢 HubSpot"]:::integ
|
||
I_GW["📎 Google Workspace"]:::integ
|
||
I_YT["📈 YouTube APIs"]:::integ
|
||
I_BR["🔎 Brave Search"]:::integ
|
||
I_GD["🗃️ Google Drive"]:::integ
|
||
I_TG["💬 Telegram"]:::integ
|
||
end
|
||
|
||
H1 -.-> I_GH
|
||
H2 -.-> I_HS
|
||
H3 -.-> I_BR
|
||
|
||
D1 -.-> I_GW
|
||
D1 -.-> I_HS
|
||
D2 -.-> I_YT
|
||
|
||
W3 -.-> I_GD
|
||
|
||
P4 --> I_TG
|
||
|
||
**Czytelność:** masz listy jobów, ale integracje są podpięte tylko “tam, gdzie pomagają”, a nie wszędzie.
|
||
|
||
***
|
||
|
||
# 3) OPS / RUNBOOK — logowanie, retry, alerty, koszty (widok operacyjny)
|
||
|
||
To jest wersja “co się dzieje, gdy coś pójdzie nie tak” + “jak kontrolujemy koszty”.
|
||
|
||
|
||
|
||
|
||
%%{init: {
|
||
"theme": "base",
|
||
"themeVariables": {
|
||
"background": "#0b0f14",
|
||
"primaryColor": "#111827",
|
||
"primaryTextColor": "#e5e7eb",
|
||
"primaryBorderColor": "#374151",
|
||
"lineColor": "#9ca3af",
|
||
"fontFamily": "Inter, ui-sans-serif, system-ui"
|
||
}
|
||
}}%%
|
||
flowchart TB
|
||
|
||
classDef core fill:#052e2b,stroke:#34d399,color:#e5e7eb,stroke-width:1px;
|
||
classDef obs fill:#111827,stroke:#f59e0b,color:#e5e7eb,stroke-width:1px;
|
||
classDef alert fill:#1f2937,stroke:#fb7185,color:#e5e7eb,stroke-width:1px;
|
||
classDef cost fill:#111827,stroke:#60a5fa,color:#e5e7eb,stroke-width:1px;
|
||
classDef out fill:#111827,stroke:#f472b6,color:#e5e7eb,stroke-width:1px;
|
||
|
||
A["⚙️ Job run starts"]:::core
|
||
B["🧾 Log start\n(job id, inputs, trace)"]:::obs
|
||
C["🔁 Execute task"]:::core
|
||
D{"❓ Success?"}:::core
|
||
E["✅ Log end\n(status=success, summary)"]:::obs
|
||
F["❌ Log end\n(status=failure, error)"]:::obs
|
||
G["🔄 Retry policy\n(backoff + max attempts)"]:::obs
|
||
H["🧯 Escalate / Alert\n(when retries exhausted)"]:::alert
|
||
I["🔔 Notify Telegram\nsuccess/failure + short summary"]:::out
|
||
|
||
A --> B --> C --> D
|
||
D -->|Yes| E --> I
|
||
D -->|No| F --> G
|
||
G -->|Retry| C
|
||
G -->|Stop| H --> I
|
||
|
||
%% Cost & reporting lane
|
||
subgraph COST["💸 Cost control & reporting"]
|
||
direction TB
|
||
C1["📊 Usage log\nprovider/model/tokens/cost/task type"]:::cost
|
||
C2["🧠 Query logs + generate report"]:::cost
|
||
C3["📉 Cost breakdown\nby task type/provider"]:::cost
|
||
C4["📈 30-day spending trend"]:::cost
|
||
C5["🧭 Routing suggestions\ncheaper models for simple tasks"]:::cost
|
||
C6["💰 Save money\nwithout sacrificing quality"]:::cost
|
||
C1 --> C2 --> C3
|
||
C2 --> C4
|
||
C2 --> C5 --> C6
|
||
end
|
||
|
||
%% Connect ops to cost
|
||
B -.-> C1
|
||
E -.-> C1
|
||
F -.-> C1
|
||
|
||
|
||
|
||
***
|
||
|
||
# 4) (Opcjonalnie) “Integrations Matrix” w wersji czytelnej (bez diagramu)
|
||
|
||
Jeśli chcesz mieć to też jako szybki “legend” w dokumencie:
|
||
|
||
* **Telegram** — główne komendy + raportowanie (topic-routed)
|
||
* **Slack** — poboczne triggery (idea/KB workflows)
|
||
* **Google Workspace** — ingest mail/kalendarz + backup Drive
|
||
* **Asana** — landing zone na taski z researchu
|
||
* **Todoist** — wykonanie osobiste / lifecycle tasków
|
||
* **HubSpot** — operacje CRM/CMS przez API
|
||
* **YouTube APIs** — metryki + time-series
|
||
* **X/Twitter** — trendy + research dyskursu
|
||
* **Fathom** — insighty/akcje ze spotkań
|
||
* **GitHub** — sync repo
|
||
* **Google Drive** — backup + retencja
|
||
* **Brave Search** — web search (uzupełniająco)
|
||
* **Firecrawl/Apify** — ekstrakcja treści + fallbacki transkryptów
|
||
|
||
***
|
||
|
||
## Jak tego używać (praktycznie)
|
||
|
||
* **GitHub / GitLab / Obsidian**: wklej Mermaid bezpośrednio do Markdown.
|
||
* **Notion**: jeśli Mermaid nie renderuje natywnie, możesz wkleić do narzędzia/plugina wspierającego Mermaid albo trzymać jako “source of truth” w repo.
|
||
|
||
***
|
||
|
||
## Co mogę dopracować jeszcze bardziej (bez dodatkowych pytań-kroków)
|
||
|
||
Jeśli napiszesz tylko jedno zdanie z preferencją, dopasuję styl:
|
||
|
||
* **tryb jasny vs ciemny** (teraz jest ciemny jak na Twoich screenshotach),
|
||
* **naming pod Twoją domenę** (np. “Agent”, “Orchestrator”, “Pipeline”),
|
||
* **dokładniejsze mapowanie jobów → integracje** (ale nadal bez bałaganu),
|
||
* lub przygotuję **SVG/PNG** w spójnym stylu (prezentacyjnie).
|
||
|
||
Chcesz, żebym zrobił wersję **jasną (light theme)** obok tej ciemnej, czy zostajemy przy ciemnej?
|
||
|
||
|
||
|
||
Jasne — zajmuję się tym i przerabiam ten schemat na **bardziej czytelny diagram** (w dwóch wariantach: *overview* + *szczegółowy*), zachowując sens z obrazka.
|
||
|
||
***
|
||
|
||
## 1) Wersja czytelna (Overview) — „jak to działa w 10 sekund”
|
||
|
||
|
||
|
||
|
||
flowchart LR
|
||
A["Mac Studio\n(wherever you are)"] --> B["MacBook Air\n(always-on, at home)\nClaude runs here 24/7"]
|
||
|
||
subgraph Access["Remote access paths"]
|
||
direction TB
|
||
X[Cursor SSH Remote]
|
||
Y[Direct SSH Terminal]
|
||
Z["TeamViewer (fallback)"]
|
||
end
|
||
|
||
A --> X
|
||
A --> Y
|
||
A --> Z
|
||
X --> B
|
||
Y --> B
|
||
Z --> B
|
||
|
||
B --> C["Development flow\n(isolated changes)"]
|
||
C --> D[Live runtime stays stable\nthe whole time]
|
||
|
||
**Dlaczego to jest czytelniejsze?**
|
||
|
||
* Pokazuje jeden główny przepływ: **Twoje urządzenie → zdalny host → development flow**
|
||
* Ścieżki dostępu są w jednym bloku, bez “pajęczyny”.
|
||
|
||
***
|
||
|
||
## 2) Wersja szczegółowa — z krokami dev-flow + “Fast Ops”
|
||
|
||
|
||
|
||
flowchart TB
|
||
|
||
%% --- Access / compute layout ---
|
||
subgraph LEFT["Remote work setup"]
|
||
direction LR
|
||
|
||
A["Mac Studio\n(wherever you are)"]
|
||
|
||
subgraph ACCESS["Ways to connect"]
|
||
direction TB
|
||
X[Cursor SSH Remote]
|
||
Y[Direct SSH Terminal]
|
||
Z["TeamViewer\n(fallback)"]
|
||
end
|
||
|
||
B["MacBook Air\n(always-on, at home)\nClaude runs here 24/7"]
|
||
|
||
A --> X --> B
|
||
A --> Y --> B
|
||
A --> Z --> B
|
||
end
|
||
|
||
%% --- Dev flow ---
|
||
subgraph DEV["Development flow"]
|
||
direction TB
|
||
D1["1) Work in isolated git worktree\nChanges don't affect live system"]
|
||
D2["2) Make targeted edits\nNew skills, prompt tweaks, bug fixes"]
|
||
D3["3) Run validation scripts\nCheck logs, verify behavior"]
|
||
D4["4) Commit and sync\nHourly auto-push or manual"]
|
||
D1 --> D2 --> D3 --> D4
|
||
end
|
||
|
||
%% --- Fast ops ---
|
||
subgraph OPS["Fast Ops (SSH Terminal)"]
|
||
direction LR
|
||
O1[Tail logs]
|
||
O2[Query cron DB]
|
||
O3[Restart services]
|
||
end
|
||
|
||
%% --- Stability note ---
|
||
NOTE[Live runtime stays stable\nthe whole time]
|
||
B --> DEV
|
||
B --> OPS
|
||
DEV --> NOTE
|
||
|
||
***
|
||
|
||
## 3) Małe usprawnienia czytelności (opcjonalnie, ale mocno polecam)
|
||
|
||
Jeśli chcesz dopracować diagram pod prezentację / dokumentację, to świetnie działają te zabiegi:
|
||
|
||
1. **Nazwij role, nie urządzenia** (np. „Remote Client”, „Always‑on Host”)
|
||
2. **Rozdziel warstwy**: *Access* → *Execution Host* → *Dev Flow* → *Ops*
|
||
3. **Dodaj legendę** (np. linia pełna = główny przepływ, przerywana = akcje ops)
|
||
|
||
Mogę też przygotować wersję z **kolorami i klasami Mermaid** (bardzo poprawia skanowanie wzrokiem), jeśli używasz renderera, który wspiera `classDef`.
|
||
|
||
***
|
||
|
||
### Jak chcesz to finalnie używać?
|
||
|
||
Powiedz mi proszę jedno:
|
||
|
||
* wolisz **wersję „overview”** (na wiki) czy **„detailed”** (do runbooka),
|
||
* i czy ma być w **Mermaid** (jak wyżej) czy w **PlantUML**?
|
||
|
||
Zrobię wtedy finalną, „produkcyjną” wersję w dokładnie takim formacie.
|
||
|
||
|
||
|
||
|
||
|
||
Pewnie — z tych screenów da się złożyć **spójny `WORKSPACE.md`**, a brakujące fragmenty uzupełnię **konsekwentnie** na podstawie diagramów, które wcześniej wygenerowaliśmy (integracje + cron pattern + cost/usage logging + task creation / NL→API).
|
||
|
||
Poniżej masz **gotowy, czytelny draft** do wklejenia jako `WORKSPACE.md` (Markdown). Tam gdzie w screenach były urwane linie albo brakowało kontekstu, uzupełniłem w oparciu o wcześniejsze diagramy — oznaczam to dyskretnie jako **(z diagramów)**, żeby było jasne co jest dopisane.
|
||
|
||
***
|
||
|
||
# WORKSPACE.md — Full Feature Inventory
|
||
|
||
> Everything built on top of the base OpenClaw platform. Canonical reference for what exists, where it lives, and how it works.
|
||
|
||
## Table of Contents
|
||
|
||
1. \#architecture-overview
|
||
2. \#openclaw-platform-configuration
|
||
3. \#crm-system
|
||
4. \#fathom-meeting-integration
|
||
5. \#skills
|
||
6. \#tools
|
||
7. \#shared-modules
|
||
8. \#scripts--automations
|
||
9. \#cron-jobs
|
||
10. \#memory-system
|
||
11. \#integrations
|
||
12. \#databases
|
||
13. \#environment-variables
|
||
14. \#test-infrastructure
|
||
15. \#configuration-files
|
||
16. \#other-directories
|
||
|
||
***
|
||
|
||
## Architecture Overview
|
||
|
||
The workspace is a monorepo-style project layered on top of OpenClaw. The base platform provides the agent framework, gateway, and skill system. Everything below is custom.
|
||
|
||
clawd/
|
||
├─ crm/ # Personal CRM (git submodule – openclaw-crm repo)
|
||
├─ data/ # Workspace databases (cron-log, video-pitches, business-meta-analysis)
|
||
├─ docs/ # Setup guides (Slack, workspace file organization)
|
||
├─ life/ # (empty directory, reserved for future use)
|
||
├─ memory/ # Daily notes, state files, reference data
|
||
├─ reference/ # Static reference data (recycling, competitors)
|
||
├─ scripts/ # Shell automation scripts
|
||
├─ shared/ # Shared Node.js utility modules
|
||
├─ skills/ # OpenClaw skills (15 installed)
|
||
├─ skills-preview/ # Skills in development (2)
|
||
├─ state/ # Mutable runtime state files
|
||
├─ tests/ # Test suite (unit, integration, skill, tool, script tests)
|
||
├─ tools/ # Standalone utility scripts and databases
|
||
├─ youtube-analysis/ # YouTube competitor analysis and content strategy
|
||
├─ awesome-openclaw-usecases/ # Community use case documentation
|
||
├─ .learnings/ # Self-improvement corrections and learnings
|
||
└─ [root .md files] # Core config (AGENTS, TOOLS, MEMORY, SOUL, etc.)
|
||
|
||
### Key patterns
|
||
|
||
* SQLite for all persistent local data (WAL mode, foreign keys).
|
||
* Vector embeddings used for semantic search:
|
||
* `gemini-embedding-001` (768-dim) or
|
||
* `text-embedding-3-small` (1536-dim)
|
||
* Telegram is the primary notification and interaction channel.
|
||
* All cron jobs are logged to a central database with Telegram success/failure notifications. **(z diagramów + screenów)**
|
||
* Shared modules (`shared/`) contain common functionality used across tools & skills.
|
||
* `gog` CLI is used for Google Workspace access (Gmail, Calendar, Drive, etc.).
|
||
|
||
***
|
||
|
||
## OpenClaw Platform Configuration
|
||
|
||
### Config location
|
||
|
||
* **Config location:** `~/.openclaw/`
|
||
* **Gateway launchd:** `~/Library/LaunchAgents/ai.openclaw.gateway.plist`
|
||
* **Version:** `2026.2.9` (as of Feb 9, 2026)
|
||
|
||
### Gateway
|
||
|
||
* **Port:** `18789`
|
||
* **Mode:** Local (loopback only — not exposed to network)
|
||
* **Auth:** Token-based
|
||
* **Tailscale:** Off
|
||
* **Logs:**
|
||
* `~/.openclaw/logs/gateway.log`
|
||
* `~/.openclaw/logs/gateway.err.log`
|
||
* **Binary:** `/opt/homebrew/lib/node_modules/openclaw/dist/index.js`
|
||
* **Launchd:** RunAtLoad + KeepAlive (auto-restart)
|
||
|
||
***
|
||
|
||
### Model Providers
|
||
|
||
| Provider | Models | Context | Pricing |
|
||
| --------- | ----------------------------------------- | ------------------------- | -------------------- |
|
||
| Anthropic | Opus 4.6 (primary), Sonnet 4.5, Haiku 4.5 | 200K (1M via API tier 4+) | Pay-per-token |
|
||
| Google | Gemini 3 Pro, Gemini 3 Flash | 2M / 1M | Free |
|
||
| xAI | Grok Beta | 131K | $5/$15 per 1M tokens |
|
||
|
||
#### Model fallback chain
|
||
|
||
* **Main:** Opus → Sonnet → Gemini Pro → Gemini Flash → Haiku
|
||
* **Subagents:** Sonnet → Gemini Flash → Haiku → Gemini Pro
|
||
|
||
### Agent Settings
|
||
|
||
* **Primary model:** `anthropic/claude-opus-4-6`
|
||
* **Max concurrent agents:** `4`
|
||
* **Max concurrent subagents:** `8`
|
||
* **Subagent primary model:** Sonnet 4.5
|
||
* **Context pruning:** cache-ttl mode, 1h TTL
|
||
* **Heartbeat interval:** 1 hour
|
||
* **Memory backend:** `builtin` (Gemini embeddings)
|
||
* **CLI backend:** Cursor agent at `~/.local/bin/agent`
|
||
|
||
### Plugins
|
||
|
||
| Plugin | Status | Purpose |
|
||
| ------------------------ | -------- | --------------------------------------- |
|
||
| `telegram` | Enabled | Telegram channel integration |
|
||
| `slack` | Enabled | Slack channel integration (socket mode) |
|
||
| `google-gemini-cli-auth` | Enabled | Google Gemini CLI authentication |
|
||
| `memory-core` | Enabled | Core memory backend |
|
||
| `memory-lancedb` | Disabled | Alternative memory backend |
|
||
|
||
### Channels
|
||
|
||
* **Telegram:** DM policy “pairing”, group allowlist, partial stream mode
|
||
* **Slack:** Socket mode, allowlist policy, history limit 50
|
||
|
||
### Skill Management
|
||
|
||
* Skills installed via `clawdhub` CLI
|
||
* Install directory: `~/clawd/skills/`
|
||
* Lock file: `~/clawd/.clawdhub/lock.json` (tracks installed versions)
|
||
* Skills discovered via `SKILL.md` files in skill directories
|
||
|
||
***
|
||
|
||
## CRM System
|
||
|
||
* **Location:** `crm/` (git submodule — separate repo: `openclaw-crm`)
|
||
* **Database:** `~/clawd/crm/data/contacts.db`
|
||
* **Skill interface:** `skills/crm-query/`
|
||
* **Stats:** \~1143 contacts tracked
|
||
|
||
### Utilities (`crm/src/utils/`)
|
||
|
||
* `gog-runner.js` — Wrapper for `gog` CLI with retry/backoff
|
||
* `openclaw-wake.py` — Wake OpenClaw for notifications
|
||
* `string-similarity.js` — String similarity calculations for contact matching
|
||
|
||
### Natural Language Queries
|
||
|
||
Supports queries like “What do I know about Mark?” via intent detection and semantic search over context embeddings.
|
||
|
||
Accessed through:
|
||
|
||
* the `crm-query` skill, **or**
|
||
* Telegram (topic **709**).
|
||
|
||
### Launched Services
|
||
|
||
| Plist | Schedule | Purpose |
|
||
| ------------------------------- | ------------- | ------------------------------------- |
|
||
| `ai.openclaw.crm-sync.plist` | Daily 8am PST | Contact discovery from email/calendar |
|
||
| `ai.openclaw.fathom-sync.plist` | 4pm PST | Fathom meeting poll |
|
||
|
||
***
|
||
|
||
## Fathom Meeting Integration
|
||
|
||
* **Location:** `crm/src/fathom/`
|
||
|
||
### What it does
|
||
|
||
Automatically processes Fathom meeting recordings into:
|
||
|
||
* CRM contacts
|
||
* interactions
|
||
* context entries
|
||
* action items
|
||
|
||
…with an approval workflow. **(spójne z wcześniejszym diagramem “task approval → Todoist”)**
|
||
|
||
***
|
||
|
||
## Skills
|
||
|
||
> (W screenach jest informacja o “15 installed” + “2 in development”.)
|
||
|
||
* Installed skills live under: `skills/`
|
||
* Skills in development live under: `skills-preview/`
|
||
* Skills are discovered via `SKILL.md`, installed & versioned via `.clawdhub/lock.json`
|
||
|
||
**(z diagramów, uzupełnienie logiczne)** Typowe klasy umiejętności:
|
||
|
||
* CRM query / enrichment
|
||
* Meeting action extraction (Fathom)
|
||
* Web research (Brave + extractors)
|
||
* Scheduling / cron execution
|
||
* Cost & usage reporting
|
||
|
||
***
|
||
|
||
## Tools
|
||
|
||
**(z diagramu “Natural-language request → HubSpot API call”, dopasowane do integracji HubSpot)**
|
||
|
||
Zestaw narzędzi jest używany do:
|
||
|
||
* mapowania intencji → endpoint + object type,
|
||
* walidacji payloadu,
|
||
* wykonania wywołania API (np. HubSpot),
|
||
* zwrócenia znormalizowanego podsumowania.
|
||
|
||
***
|
||
|
||
## Shared Modules
|
||
|
||
* `shared/` — wspólne moduły Node.js wykorzystywane przez wiele skill’i i automatyzacji:
|
||
* logowanie / telemetry
|
||
* retry/backoff
|
||
* normalizacja danych
|
||
* helpery do integracji
|
||
|
||
***
|
||
|
||
## Scripts & Automations
|
||
|
||
* `scripts/` — skrypty automatyzujące:
|
||
* uruchomienia cykliczne
|
||
* housekeeping
|
||
* synchronizacje repo / danych
|
||
|
||
***
|
||
|
||
## Cron Jobs
|
||
|
||
### Schedules (z diagramów)
|
||
|
||
**Every hour**
|
||
|
||
* Sync code repos
|
||
* Check CRM for changes
|
||
* Scout for new signals
|
||
|
||
**Every day**
|
||
|
||
* Ingest emails + calendar into CRM
|
||
* Collect YouTube analytics and competitor data
|
||
* Run platform health checks
|
||
* Nightly business briefing (from review council)
|
||
|
||
**Every week**
|
||
|
||
* Synthesize daily notes into long-term memory
|
||
* Run planning and reminder routines
|
||
* Housekeeping: cleanup/pruning audits
|
||
|
||
### Every job follows the same pattern (z diagramów)
|
||
|
||
1. Log start
|
||
2. Execute task
|
||
3. Log end (status + summary)
|
||
4. Notify Telegram (success/failure)
|
||
5. Results visible in Telegram topics (bez ręcznej roboty)
|
||
|
||
***
|
||
|
||
## Memory System
|
||
|
||
### How it works
|
||
|
||
* **Heartbeat tracking:** Checks stored in `heartbeat-state.json` with timestamps for each check type
|
||
* **Task history:** Append-only format, one section per task, never edited after writing
|
||
|
||
***
|
||
|
||
## Integrations
|
||
|
||
### Integrations Matrix (z poprzedniego diagramu + tabeli)
|
||
|
||
| Service | Workflow role |
|
||
| ----------------- | ---------------------------------------------------- |
|
||
| Telegram | Primary command + reporting interface (topic-routed) |
|
||
| Slack | Secondary trigger surface (idea/KB workflows) |
|
||
| Google Workspace | Email/calendar ingestion, Drive backup workflows |
|
||
| Asana | Landing zone for researched content tasks |
|
||
| Todoist | Personal execution / task lifecycle |
|
||
| HubSpot | CRM/CMS operations via API |
|
||
| YouTube APIs | Metrics collection and time-series tracking |
|
||
| X/Twitter stack | Trend and discourse research |
|
||
| Fathom path | Meeting insight/action extraction workflows |
|
||
| GitHub | Automated sync across repos |
|
||
| Google Drive | Backup destination with retention policy |
|
||
| Brave Search | Supplemental web search |
|
||
| Firecrawl / Apify | Content extraction and transcript fallbacks |
|
||
|
||
### Telegram
|
||
|
||
* **Group ID:** `-1003725393532`
|
||
* **Primary interface** for:
|
||
* CRM queries
|
||
* notifications
|
||
* approvals
|
||
* cron updates
|
||
|
||
#### Topics
|
||
|
||
| Topic | ID | Purpose |
|
||
| -------------- | ---: | ------------------------------------------------------------ |
|
||
| AI Tweets | 225 | Curating and drafting AI tweets |
|
||
| Video Ideas | 366 | Automated video idea scouting and pitch delivery |
|
||
| Config | 403 | OpenClaw configuration and system management |
|
||
| Earnings | 694 | Financial tracking (revenue, sponsorships, YouTube earnings) |
|
||
| Personal CRM | 709 | Contact management, relationship tracking, follow-up nudges |
|
||
| Updates | 1051 | General status updates and announcements |
|
||
| Cron Updates | 1126 | Automated cron job success/failure notifications |
|
||
| Knowledge Base | 1173 | KB ingestion and querying notifications |
|
||
|
||
**Media handling:** Download to `/tmp/openclaw-media/`, include `MEDIA:<path>` in reply, delete temp after.
|
||
|
||
***
|
||
|
||
## Databases
|
||
|
||
Workspace-wide databases (SQLite with WAL mode):
|
||
|
||
* `data/cron-log.db` — Cron job run history
|
||
* `data/video-pitches.db` — Video pitch ideas with embeddings
|
||
|
||
CRM database:
|
||
|
||
* `crm/data/contacts.db` — CRM contacts storage
|
||
|
||
***
|
||
|
||
## Environment Variables
|
||
|
||
> (Nie widać pełnej listy na screenach, więc zostawiam bezpieczny szablon.)
|
||
|
||
Typowo:
|
||
|
||
* tokens do providerów modeli
|
||
* token do gateway auth
|
||
* integracyjne (Telegram bot token, Slack app token, HubSpot API key)
|
||
* ścieżki do logów / DB
|
||
|
||
Jeśli wkleisz fragment z sekcji “Environment Variables”, uzupełnię 1:1.
|
||
|
||
***
|
||
|
||
## Test Infrastructure
|
||
|
||
* `tests/` — unit/integration tests dla:
|
||
* skills
|
||
* tools
|
||
* scripts
|
||
|
||
***
|
||
|
||
## Configuration Files
|
||
|
||
* `~/Library/LaunchAgents/ai.openclaw.gateway.plist` — gateway launchd
|
||
* `ai.openclaw.crm-sync.plist` — CRM daily sync
|
||
* `ai.openclaw.fathom-sync.plist` — Fathom sync
|
||
* `~/.openclaw/*` — platform config + logs
|
||
|
||
***
|
||
|
||
## Other Directories
|
||
|
||
### `docs/`
|
||
|
||
* `OPUS-PROMPTING-GUIDE.md` — Opus 4.6 prompting best practices (consult before writing/editing prompts)
|
||
* `SLACK-SETUP.md` — Slack integration setup with security model
|
||
* `slack-config-snippet.json` — Slack config example
|
||
|
||
### `reference/`
|
||
|
||
| File | Purpose |
|
||
| ------------------------ | ----------------------------------------------------------- |
|
||
| `recycling.md` | Mill Valley recycling schedule (alternating weeks) |
|
||
| `youtube-competitors.md` | Competitor monitoring reference (Theo, Wes Roth, AI Search) |
|
||
|
||
### `.learnings/`
|
||
|
||
Captured corrections and learnings for the self-improving agent.
|
||
Currently contains one entry: `asana_link_workflow` (how to handle “put link in Asana” requests).
|
||
|
||
### `state/`
|
||
|
||
Mutable runtime state files. Contains `README.md` with guidelines for state file usage.
|
||
|
||
### `.clawdhub/`
|
||
|
||
Skill registry lock file: `lock.json` tracking installed skill versions and installation timestamps.
|
||
|
||
### `youtube-analysis/`
|
||
|
||
YouTube competitor analysis and content strategy data.
|
||
|
||
| File | Purpose |
|
||
| -------------------------------- | ---------------------------------------------- |
|
||
| `fetch-competitors.py` | Fetches competitor YouTube data using `yt-dlp` |
|
||
| `video-data.json` | Competitor video metadata |
|
||
| `transcripts.json` | Competitor video transcripts |
|
||
| `complete_transcripts.md` | Full transcript analysis |
|
||
| `transcript-analysis-summary.md` | Transcript analysis summary |
|
||
| `SUCCESS-BLUEPRINT-GEMINI.md` | Content success blueprint (Gemini analysis) |
|
||
| `SUCCESS-BLUEPRINT-OPUS.md` | Content success blueprint (Opus analysis) |
|
||
| `VIDEO-IDEAS.md` | Generated video ideas |
|
||
| `VIDEO-IDEAS-TRENDING.md` | Trending video ideas |
|
||
|
||
### `awesome-openclaw-usecases/`
|
||
|
||
Community use case documentation (10 documented use cases), e.g.:
|
||
|
||
* Daily Reddit digest
|
||
* earnings tracker
|
||
* health symptom tracker
|
||
* inbox declutter
|
||
* knowledge base RAG
|
||
* multi-channel assistant
|
||
* overnight mini-app builder
|
||
* personal CRM
|
||
* X account analysis
|
||
* YouTube content pipeline
|
||
|
||
***
|
||
|
||
## (Optional) Cost & Usage Logging (z diagramów — uzupełnienie braków)
|
||
|
||
Runs silently in the background:
|
||
|
||
* every AI call gets logged (research, analysis, images, cron jobs, all of it)
|
||
|
||
Usage log captures:
|
||
|
||
* provider, model, tokens, task type, cost
|
||
|
||
You can ask anytime:
|
||
|
||
* “How much did I spend this week?”
|
||
* “Which workflows cost the most?”
|
||
* “Show me the 30‑day trend”
|
||
|
||
System generates a report:
|
||
|
||
* cost breakdown by task type & provider
|
||
* spending trend over time
|
||
* routing suggestions (use cheaper models for simple tasks)
|
||
|
||
***
|
||
|
||
### Jeśli chcesz, zrobię to jeszcze lepiej (2 szybkie opcje)
|
||
|
||
1. **Wersja “strict copy”**: 1:1 jak w screenach (bez dopisków), a dopiski jako osobny aneks.
|
||
2. **Wersja “canonical”**: ten dokument jako jedyne źródło prawdy + linki do diagramów Mermaid.
|
||
|
||
Powiedz tylko, którą opcję wolisz — *strict copy* czy *canonical*.
|
||
|
||
|
||
|
||
|
||
Super — dodałem Twoje **“OpenClaw Implementation Prompts (1–11)”** do całości i przerobiłem diagram tak, żeby był **dużo bardziej czytelny**: zamiast pajęczyny połączeń masz **warstwy** (wejścia → orkiestracja → moduły use-case → storage/observability → integracje).
|
||
|
||
Poniżej dostajesz:
|
||
|
||
1. ✅ **Jeden czytelny diagram „Platform Overview”** (Mermaid) z wszystkimi 11 use-case’ami
|
||
2. ✅ **Drugi diagram „Schedules & Job Pattern”** (Mermaid) — czysty harmonogram + wspólny wzorzec joba
|
||
3. ✅ **Mapa: Use-case → Integracje / Storage / Cron** (w punktach, bez przeładowania)
|
||
|
||
***
|
||
|
||
## 1) OpenClaw — Czytelny diagram całości (Mermaid / Architecture Overview)
|
||
|
||
> Ten diagram jest “system design view”: pokazuje, jak wszystko się spina, bez rozwlekania strzałek do każdej integracji.
|
||
|
||
|
||
|
||
flowchart TB
|
||
|
||
%% =========================
|
||
%% INPUTS
|
||
%% =========================
|
||
subgraph IN["Inputs (where requests/events originate)"]
|
||
direction LR
|
||
IN1[Telegram\ncommands + reports]
|
||
IN2[Slack\nsecondary triggers]
|
||
IN3[Web/CLI\nURL/file ingestion]
|
||
IN4[Scheduled cron\nhourly/daily/weekly/nightly]
|
||
end
|
||
|
||
%% =========================
|
||
%% ORCHESTRATION LAYER
|
||
%% =========================
|
||
subgraph ORCH["Orchestration layer"]
|
||
direction TB
|
||
O1["Router / Intent classifier\n(what does the user want?)"]
|
||
O2["Workflow runner\n(step orchestration + retries)"]
|
||
O3[Policy & config\nlearning.json + rules]
|
||
end
|
||
|
||
IN1 --> O1
|
||
IN2 --> O1
|
||
IN3 --> O1
|
||
IN4 --> O2
|
||
|
||
O1 --> O2
|
||
O2 --> O3
|
||
|
||
%% =========================
|
||
%% USE CASE MODULES (1–11)
|
||
%% =========================
|
||
subgraph UC["OpenClaw Use-Case Modules (Implementation Prompts)"]
|
||
direction TB
|
||
|
||
UC1["1) Personal CRM Intelligence\n(email+calendar → contacts + scoring)"]
|
||
UC2["2) Knowledge Base (RAG)\n(save URLs/files → chunks+embeddings)"]
|
||
UC3["3) Content Idea Pipeline\n(research → dedupe gate → PM task)"]
|
||
UC4["4) X/Twitter Research (cost-optimized)\n(tiered retrieval + briefing)"]
|
||
UC5["5) YouTube Analytics + Competitors\n(daily metrics + charts)"]
|
||
UC6["6) Nightly Business Briefing\n(multi-persona council → ranked recs)"]
|
||
UC7["7) NL Access to CRM\n(intent → validate → API call → summary)"]
|
||
UC8["8) AI Content Humanization\n(detect AI tells → rewrite by channel)"]
|
||
UC9["9) Image Gen + Iterative Editing\n(generate → edit loop → assets)"]
|
||
UC10["10) Tasks from Meetings + Chat\n(extract → approve → create tasks)"]
|
||
UC11["11) AI Usage & Cost Tracking\n(JSONL logs → reports + routing)"]
|
||
end
|
||
|
||
%% Which modules get invoked by orchestrator
|
||
O2 --> UC1
|
||
O2 --> UC2
|
||
O2 --> UC3
|
||
O2 --> UC4
|
||
O2 --> UC5
|
||
O2 --> UC6
|
||
O2 --> UC7
|
||
O2 --> UC8
|
||
O2 --> UC9
|
||
O2 --> UC10
|
||
O2 --> UC11
|
||
|
||
%% =========================
|
||
%% SHARED SERVICES
|
||
%% =========================
|
||
subgraph SH["Shared services (reused by many modules)"]
|
||
direction LR
|
||
S1["Extractor chain\n(Readability → Firecrawl/Apify → Headless → strip)"]
|
||
S2["Embeddings\n(batch + retries + cache)"]
|
||
S3["Semantic dedupe\n(embeddings + hashes + URL normalize)"]
|
||
S4["Approval UI\n(review → edit → approve)"]
|
||
end
|
||
|
||
UC2 --> S1
|
||
UC2 --> S2
|
||
UC2 --> S3
|
||
|
||
UC3 --> S2
|
||
UC3 --> S3
|
||
|
||
UC10 --> S4
|
||
UC1 --> S2
|
||
UC4 --> S3
|
||
|
||
%% =========================
|
||
%% STORAGE & OBSERVABILITY
|
||
%% =========================
|
||
subgraph DB["Storage & observability"]
|
||
direction LR
|
||
D1["(SQLite: CRM DB)"]
|
||
D2["(SQLite: KB RAG DB\nsources + chunks)"]
|
||
D3["(SQLite: Pitches DB\nideas + embeddings)"]
|
||
D4["(SQLite: YouTube metrics DB)"]
|
||
D5["(Logs: JSONL + optional SQLite mirror)"]
|
||
D6["(Files: assets/charts/exports)"]
|
||
end
|
||
|
||
UC1 --> D1
|
||
UC2 --> D2
|
||
UC3 --> D3
|
||
UC5 --> D4
|
||
UC11 --> D5
|
||
UC9 --> D6
|
||
UC5 --> D6
|
||
|
||
%% =========================
|
||
%% INTEGRATIONS
|
||
%% =========================
|
||
subgraph INT["Integrations (external services)"]
|
||
direction LR
|
||
I1["Google Workspace\n(Gmail/Calendar/Drive)"]
|
||
I2[HubSpot / CRM API]
|
||
I3[Asana / PM tool]
|
||
I4[Todoist]
|
||
I5["X/Twitter stack\n(FxTwitter → provider → X API)"]
|
||
I6[YouTube APIs]
|
||
I7[Fathom / transcripts]
|
||
I8[GitHub]
|
||
I9[Brave Search]
|
||
I10[Firecrawl / Apify]
|
||
end
|
||
|
||
%% Minimal, non-spaghetti connections
|
||
UC1 -.uses.-> I1
|
||
UC1 -.uses.-> I2
|
||
|
||
UC2 -.uses.-> I10
|
||
UC2 -.uses.-> I1
|
||
|
||
UC3 -.uses.-> I5
|
||
UC3 -.uses.-> I3
|
||
|
||
UC4 -.uses.-> I5
|
||
UC4 -.uses.-> I9
|
||
|
||
UC5 -.uses.-> I6
|
||
|
||
UC7 -.uses.-> I2
|
||
|
||
UC10 -.uses.-> I7
|
||
UC10 -.uses.-> I4
|
||
|
||
%% Reporting back
|
||
UC6 --> IN1
|
||
UC11 --> IN1
|
||
UC10 --> IN1
|
||
UC5 --> IN1
|
||
|
||
%% =========================
|
||
%% STYLING (readability)
|
||
%% =========================
|
||
classDef inputs fill:#1f2937,stroke:#93c5fd,color:#e5e7eb;
|
||
classDef orch fill:#111827,stroke:#34d399,color:#e5e7eb;
|
||
classDef usecase fill:#0b1220,stroke:#fbbf24,color:#e5e7eb;
|
||
classDef shared fill:#0b1220,stroke:#a78bfa,color:#e5e7eb;
|
||
classDef storage fill:#0b1220,stroke:#fb7185,color:#e5e7eb;
|
||
classDef integ fill:#0b1220,stroke:#60a5fa,color:#e5e7eb;
|
||
|
||
class IN1,IN2,IN3,IN4 inputs;
|
||
class O1,O2,O3 orch;
|
||
class UC1,UC2,UC3,UC4,UC5,UC6,UC7,UC8,UC9,UC10,UC11 usecase;
|
||
class S1,S2,S3,S4 shared;
|
||
class D1,D2,D3,D4,D5,D6 storage;
|
||
class I1,I2,I3,I4,I5,I6,I7,I8,I9,I10 integ;
|
||
|
||
|
||
***
|
||
|
||
## 2) Harmonogram + wspólny wzorzec joba (Mermaid / Operations View)
|
||
|
||
> To jest “ops view”: czytelnie pokazuje cykle i to, że wszystkie joby mają ten sam pattern: **log start → execute → log end → notify**.
|
||
|
||
|
||
|
||
|
||
flowchart TB
|
||
|
||
subgraph SCH["Scheduler"]
|
||
direction LR
|
||
H[Every hour]
|
||
D[Every day]
|
||
W[Every week]
|
||
N[Nightly]
|
||
end
|
||
|
||
subgraph PAT["Common job pattern"]
|
||
direction LR
|
||
P1[Log start] --> P2[Execute task] --> P3[Log end\nstatus + summary] --> P4[Notify Telegram\nsuccess/failure]
|
||
end
|
||
|
||
OUT[Results visible in Telegram topics]
|
||
|
||
H --> PAT
|
||
D --> PAT
|
||
W --> PAT
|
||
N --> PAT
|
||
|
||
P4 --> OUT
|
||
|
||
%% Optional: what typically runs when (high-level)
|
||
H -.typically runs.-> HJ[Repo sync • CRM change check • signal scouting]
|
||
D -.typically runs.-> DJ[Email/calendar ingest • YouTube daily stats • health checks • daily brief inputs]
|
||
W -.typically runs.-> WJ[Long-term memory synthesis • planning routines • housekeeping]
|
||
N -.typically runs.-> NJ["Nightly business briefing (AI council) • cost report summaries"]
|
||
|
||
***
|
||
|
||
## 3) Jak te 11 promptów “wpinają się” w całość (czytelna mapa)
|
||
|
||
### A) Moduły z crona (automatyzacja)
|
||
|
||
* **Daily**:
|
||
* **(1) Personal CRM Intelligence** — ingestion email/calendar
|
||
* **(5) YouTube Analytics + Competitors** — dzienne metryki + wykresy
|
||
* **Nightly**:
|
||
* **(6) Nightly Business Briefing** — council + ranking
|
||
* *(opcjonalnie)* **(11) AI Usage & Cost Tracking** — raport dzienny/tygodniowy
|
||
* **Weekly**:
|
||
* fragmenty z **(2)** (porządki/retencja), **(6)** (przeglądy), **(11)** (podsumowania)
|
||
|
||
### B) Moduły “na żądanie” (chat/komenda)
|
||
|
||
* **(2) Knowledge Base (RAG)** — wklejasz URL/plik
|
||
* **(3) Content Idea Pipeline** — opisujesz temat → research → dedupe → task
|
||
* **(4) Social Media Research** — pytasz “co mówią o X?”
|
||
* **(7) NL Access to CRM** — “znajdź kontakt… / zaktualizuj…”
|
||
* **(8) Humanization** — wklejasz tekst → rewrite
|
||
* **(9) Image generation/editing** — opisujesz obraz → iterujesz
|
||
* **(10) Tasks from meetings/chat** — transkrypcje/komendy → approval → tasks
|
||
* **(11) Cost tracking** — “ile wydałem w tym tygodniu?” / “top workflows”
|
||
|
||
### C) Wspólne komponenty, które robią robotę (i upraszczają projekt)
|
||
|
||
* **Intent/Router + Workflow runner** → wspólny start dla (3)(7)(10)(4) itd.
|
||
* **Extractor chain** → kluczowy dla (2), częściowo (4)
|
||
* **Embeddings + dedupe** → (2)(3) + zapytania semantyczne (1)
|
||
* **Approval UI** → krytyczne dla (10), opcjonalnie dla (3)
|
||
* **Usage logging** → opina wszystko, a raportuje (11)
|
||
|
||
***
|
||
|
||
## Jeśli chcesz, zrobię jeszcze czytelniej (2 opcje)
|
||
|
||
Powiedz, którą wersję wolisz jako “final”:
|
||
|
||
1. **Minimal (1 diagram)**: tylko platform overview + 11 use-case’ów (jak wyżej)
|
||
2. **Dokumentacyjnie (3 diagramy)**:
|
||
* Overview (architektura)
|
||
* Ops (cron + pattern)
|
||
* Data model view (SQLite: CRM/KB/Pitches/Metrics/Logs)
|
||
|
||
Napisz: **minimal** albo **3-diagramy**, a od razu dopracuję wariant docelowy.
|
||
|
||
|
||
Jasne — zrobię z tego **jeden czytelny diagram architektury** (warstwami), tak żeby nie było „pajęczyny” połączeń. Poniżej masz wersję w **Mermaid**, która odwzorowuje elementy z grafiki: **Interfaces → Core/Models → Skills → Data Layer + External Services → Automation/Memory/How‑To**.
|
||
|
||
***
|
||
|
||
## Diagram (Mermaid) — czytelna architektura warstwowa
|
||
|
||
|
||
|
||
|
||
flowchart TB
|
||
%% =========================
|
||
%% LAYER 1: INTERFACES
|
||
%% =========================
|
||
subgraph L1["INTERFACES"]
|
||
direction LR
|
||
I1["Telegram (Primary)"]
|
||
I2["Slack (Secondary)"]
|
||
I3[CLI / SSH / Scripts]
|
||
end
|
||
|
||
%% =========================
|
||
%% LAYER 2: CORE + MODELS
|
||
%% =========================
|
||
subgraph L2["OPENCLAW CORE + MODELS"]
|
||
direction TB
|
||
C1["Gateway\n(launch + supervision)"]
|
||
C2[Claude Agent\n24/7 AI Chief of Staff]
|
||
|
||
subgraph M["Models"]
|
||
direction LR
|
||
M1[Anthropic\nOpus / Sonnet / Haiku]
|
||
M2[Google Gemini\nPro / Flash / Embed]
|
||
M3[xAI Grok\n+ X-Search]
|
||
M4[OpenAI\nEmbed Fallback]
|
||
end
|
||
|
||
C1 --> C2
|
||
C2 --- M
|
||
end
|
||
|
||
%% =========================
|
||
%% LAYER 3: SKILLS + CAPABILITIES
|
||
%% =========================
|
||
subgraph L3["SKILLS + CAPABILITIES"]
|
||
direction LR
|
||
|
||
S1[Personal CRM\n1100+ contacts\nSemantic search]
|
||
S2[Knowledge Base\nRAG ingest+retrieve\nMulti-extractor]
|
||
S3[Video Idea Pipeline\nResearch + dedupe\n→ Asana card]
|
||
S4[X/Twitter Research\n3-tier API strategy\nCached + filtered]
|
||
S5[Business Meta-Analysis\nNightly cross-system\nReview council]
|
||
|
||
S6[HubSpot Ops\nDeals + Contacts\nNL interface]
|
||
S7[Humanizer\n24 AI pattern checks]
|
||
S8[Image Gen\nGemini 3 Pro\nUp to 4K]
|
||
S9[Task Mgmt\nTodoist + Fathom\nMeeting actions]
|
||
S10[Usage Tracker\nModel costs\nOptimization]
|
||
S11[YouTube Analytics\nDaily snapshots\nCompetitor intel]
|
||
end
|
||
|
||
%% =========================
|
||
%% LAYER 4: DATA + EXTERNAL
|
||
%% =========================
|
||
subgraph L4["DATA LAYER (SQLite + Vectors)"]
|
||
direction LR
|
||
D1[contacts.db\nCRM]
|
||
D2[knowledge.db\nRAG + embeddings]
|
||
D3[video-pitches.db\nSemantic dedupe]
|
||
D4[business-meta-analysis.db\nSignals + recommendations]
|
||
D5[views.db / social-growth.db]
|
||
D6[cron-log.db\nReliability]
|
||
end
|
||
|
||
subgraph L5["EXTERNAL SERVICES"]
|
||
direction LR
|
||
E1[Google Workspace\nGmail / Cal / Drive]
|
||
E2[Asana\nVideo pipeline]
|
||
E3[HubSpot API\nCRM / CMS]
|
||
E4[YouTube APIs\nData + analytics]
|
||
E5[X/Twitter APIs\nfxTwitter / TwAPI]
|
||
E6[Todoist / Fathom]
|
||
E7[Brave / GitHub]
|
||
E8["Google Drive Backups\n(7-day retention)\n+ GitHub Auto-Sync\n(5 repos)"]
|
||
end
|
||
|
||
%% =========================
|
||
%% LAYER 6: AUTOMATION / MEMORY / HOW-TO
|
||
%% =========================
|
||
subgraph L6["OPERATIONS"]
|
||
direction LR
|
||
O1[Automation Layer\nScheduled jobs / routines]
|
||
O2[Memory System\nDaily notes → Long-term]
|
||
O3[How-To / Playbooks\nRunbooks & guides]
|
||
end
|
||
|
||
%% =========================
|
||
%% MAIN FLOW (minimal, readable)
|
||
%% =========================
|
||
L1 --> C1
|
||
C2 --> L3
|
||
|
||
%% Skills read/write data and call external services (shown as aggregated links)
|
||
L3 --> L4
|
||
L3 --> L5
|
||
|
||
%% Ops depends on data + external; and publishes outcomes back through interfaces
|
||
L4 --> L6
|
||
L5 --> L6
|
||
L6 --> I1
|
||
***
|
||
|
||
### Co poprawiłem dla czytelności
|
||
|
||
* **Warstwy** (Interfaces → Core → Skills → Data/External → Ops) zamiast mnóstwa strzałek między każdym elementem.
|
||
* Tylko **trzy główne relacje**:\
|
||
**UI** zasila **Core**, Core uruchamia **Skills**, Skills używają **Data/External**, a **Ops** raportuje do Telegrama.
|
||
|
||
***
|
||
|
||
## Jeśli chcesz jeszcze czytelniej (2 opcje)
|
||
|
||
1. **Wersja “Overview”** (zostawić tylko 5–7 bloków) + osobno “Detailed” (jak wyżej).
|
||
2. **Wersja “System design”** z komponentami typu: Orchestrator / Router modeli / Observability / Storage / Connectors.
|
||
|
||
Napisz tylko: **overview** czy **system design**, a przygotuję docelową wersję w tym stylu.
|