vault backup: 2025-07-21 14:56:41

Affected files:
.obsidian/plugins/text-extractor/cache/0e1681cb976efab437314ee5b955bf19.json
.obsidian/plugins/text-extractor/cache/8e7ba73749fd1e85200c90d920c18377.json
.obsidian/plugins/text-extractor/cache/e3491f3656f5e7a8c562d164a907bfc6.json
.obsidian/workspace.json
0 Journal/0 Daily/2025-07-21.md
Attachments/Pasted image 20250721140924.png
Attachments/Pasted image 20250721140942.png
Attachments/Pasted image 20250721142129.png
Temporary/AI Agents.md

.obsidian/plugins/text-extractor/cache/0e1681cb976efab437314ee5b955bf19.json

@@ -0,0 +1 @@
+{"path":"Attachments/Pasted image 20250721140942.png","text":"' Complementary Agents These agents have skills that complement Data Interpreter . Research Specialist 6 . Content Strategist RESEARCHER WRITER Expert in gathering and analyzing information from Skilled in creating clear, engaging, a various sources content Expertise: Expertise: @ Information gathering — ® Data validation ® Contentcreation ® Editing ® ® Source verification +1 Skills: Skills: & Copywriting & Technical docume & Research methodology & Data analysis & Content strategy +1 & Critical evaluation +1","libVersion":"0.3.2","langs":"deu+eng+fra"}

.obsidian/plugins/text-extractor/cache/8e7ba73749fd1e85200c90d920c18377.json

@@ -0,0 +1 @@
+{"path":"Attachments/Pasted image 20250721142129.png","text":"Nous souhaitons optimiser nos campagnes Google Ads afin de maximiser notre acquisition de prospects qualifiés pour notre entreprise de nettoyage, CleanPro Services, opérant en B2B et B2C a Paris et Lyon. Objectifs principaux : * Augmenter le volume de leads qualifiés. Optimiser le coût par acquisition (CPA) pour rester sous 30 € par lead. * Améliorer le CTR (objectif : +6%) et le taux de conversion (objectif :5%). Mission et attentes : 1. Audit et stratégie * Analyser les campagnes actuelles et identifier les opportunités d’amélioration. Sélectionner et affiner les mots-clés stratégiques : - Génériques : “entreprise de nettoyage”, “société de nettoyage professionnel”. * Locaux : “nettoyage bureaux Paris”, “nettoyage vitres Lyon”. * Intentions d’achat : “devis nettoyage entreprise”, “prix nettoyage industriel”. * Segmenter les campagnes en Search, Display et Retargeting. 2. Ciblage et optimisation","libVersion":"0.3.2","langs":"deu+eng+fra"}

.obsidian/plugins/text-extractor/cache/e3491f3656f5e7a8c562d164a907bfc6.json

@@ -0,0 +1 @@
+{"path":"Attachments/Pasted image 20250721140924.png","text":"Select Agents Choose agents for this crew Research Specialist (researcher) Content Strategist (writer) Data Interpreter (analyst) Quality Assessor (critic) Code Specialist (developer)","libVersion":"0.3.2","langs":"deu+eng+fra"}

.obsidian/workspace.json

@@ -212,13 +212,13 @@
             "state": {
               "type": "outline",
               "state": {
-                "file": "0 Journal/0 Daily/2025-07-21.md",
+                "file": "Temporary/AI Agents.md",
                 "followCursor": false,
                 "showSearch": false,
                 "searchQuery": ""
               },
               "icon": "lucide-list",
-              "title": "Outline of 2025-07-21"
+              "title": "Outline of AI Agents"
             }
           },
           {
@@ -352,8 +352,23 @@
                   "icon": "lucide-file",
                   "title": "2025-07-21"
                 }
+              },
+              {
+                "id": "a4fdc743d0027657",
+                "type": "leaf",
+                "state": {
+                  "type": "markdown",
+                  "state": {
+                    "file": "Temporary/AI Agents.md",
+                    "mode": "source",
+                    "source": false
+                  },
+                  "icon": "lucide-file",
+                  "title": "AI Agents"
                 }
-            ]
+              }
+            ],
+            "currentTab": 1
           }
         ],
         "direction": "vertical",
@@ -366,11 +381,15 @@
       }
     ]
   },
-  "active": "22b62bffb3b4f91c",
+  "active": "a4fdc743d0027657",
   "lastOpenFiles": [
-    "Temporary/n8n - ideas.md",
+    "Temporary/AI Agents.md",
+    "Attachments/Pasted image 20250721142129.png",
+    "Attachments/Pasted image 20250721140942.png",
+    "Attachments/Pasted image 20250721140924.png",
     "0 Journal/0 Daily/2025-07-21.md",
     "0 Journal/0 Daily/2025-07-18.md",
+    "Temporary/n8n - ideas.md",
     "Temporary/n8n.md",
     "Attachments/Pasted image 20250717210347.png",
     "0 Journal/0 Daily/2025-07-14.md",
@@ -399,16 +418,11 @@
     "Attachments/Pasted image 20250630155216.png",
     "Attachments/madgwick_internal_report.pdf",
     "Temporary/2025-06-29.md",
-    "Temporary/2025-06-30.md",
     "Dashboard Canvas.canvas",
-    "Dashboard.md",
     "Attachments/Pasted image 20250627101456.png",
     "99 Work/0 OneSec/OneSecNotes/40 - User Manuals",
     "Attachments/Pasted image 20250624161349.png",
     "Attachments/Pasted image 20250623154221.png",
-    "Attachments/Pasted image 20250612230414.png",
-    "Attachments/Pasted image 20250612230104 1.png",
-    "Attachments/Pasted image 20250612230104.png",
     "2 Personal/1 Skills/IT",
     "Sync",
     "Shared_Folder",

Temporary/AI Agents.md

@@ -0,0 +1,51 @@
+---
+title: AI Agents
+created_date: 2025-07-21
+updated_date: 2025-07-21
+aliases:
+tags:
+---
+# AI Agents
+
+## [He created an AI to do his job (his boss is hallucinating) - YouTube](https://youtu.be/MOlO1_mj1dU)
+
+### Agents
+![[Pasted image 20250721140924.png]]
+![[Pasted image 20250721140942.png]]
+
+
+- anything-llm
+- crew-ai
+- fine tuning vs RAG (RAG is metter?)
+- langchain
+
+#### Agent Roles
+
+Google Ads Optimizer
+- research assistant --> search the good keywords
+- content strategist --> B2B or B2C
+- manager: prompted. 
+	  ![[Pasted image 20250721142129.png]]
+	- double checks output of the two agents before sending it to the google API. If there is a formatting error in the csv file or so it just asks the agents to restart. 
+
+##### React Example
+- input figma (wireframe prototype): really nice application overview with all screens etc
+- asked vision model to describe the different screens in detail (Pixtral 12B) 
+- Get Prompts (1-20) --> one super prompt file with all prompts inthere
+- send to agents which execute stuff on cursor
+	- you need the agents because of the context length limit
+
+Roles
+- prompt manager: prompt analysis --> split prompt into multiple chunks which match best with the agent team and send them the prompt with a global context description
+
+##### Cursor
+- Combine with crewAI 
+
+### Bikee Example
+- Reverse Engineering crew --> creates a document which describes 
+	- brute force routes
+- Developer crew
+
+### Learnings
+- use AI to make prompts
+- combine