fix: standardize project name to LogWhispererAI (no space)

- Replace all occurrences of 'LogWhisperer AI' with 'LogWhispererAI' - Fix 47 instances across 30 files including: - Documentation (README, PRD, specs, docs) - Frontend components (Footer, Navbar, Hero, etc.) - Backend files (Dockerfile, server.js) - Workflow files (n8n, bash scripts) - Configuration files (AGENTS.md, LICENSE) Ensures consistent branding across the entire codebase.
feat: add fake-backend mock API server for frontend development
2026-04-03 17:07:35 +02:00 · 2026-04-03 16:57:14 +02:00
34 changed files with 1531 additions and 125 deletions
--- a/.env.example
+++ b/.env.example
@@ -1,4 +1,4 @@
-# LogWhisperer AI - Environment Variables
+# LogWhispererAI - Environment Variables

 # Telegram Bot Configuration
 # Ottieni questi valori seguendo le istruzioni in docs/telegram_setup.md
--- a/.opencode/agents/n8n_specialist_agent.md
+++ b/.opencode/agents/n8n_specialist_agent.md
@@ -7,7 +7,7 @@ read: true

@n8n-specialist

-Sei un esperto di automazione n8n. Il tuo compito è interfacciare LogWhisperer AI con l'istanza Docker su 192.168.254.12.
+Sei un esperto di automazione n8n. Il tuo compito è interfacciare LogWhispererAI con l'istanza Docker su 192.168.254.12.

 Focus Operativo

--- a/AGENTS.md
+++ b/AGENTS.md
@@ -1,4 +1,4 @@
-# LogWhisperer AI - Agent Rules
+# LogWhispererAI - Agent Rules

 Regole operative per gli agenti AI che collaborano su questo progetto.

--- a/LICENSE.md
+++ b/LICENSE.md
@@ -20,11 +20,11 @@ Nessuna Modifica: È vietato modificare, alterare, adattare, tradurre, decompila

 Uso Non Autorizzato: È vietato vendere, noleggiare, dare in locazione, concedere in licenza o utilizzare il software per scopi commerciali senza una licenza specifica rilasciata dall'autore.

-Tutela del Marchio: I nomi "LogWhisperer AI", "Sacchi's Server Sentinel" e il "Metodo Sacchi" sono marchi e metodologie di proprietà dell'autore.
+Tutela del Marchio: I nomi "LogWhispererAI", "Sacchi's Server Sentinel" e il "Metodo Sacchi" sono marchi e metodologie di proprietà dell'autore.

 Legge Applicabile e Foro Competente

-Il presente accordo è regolato dalla legge italiana. Per qualsiasi controversia derivante dall'interpretazione, esecuzione o risoluzione della presente licenza e per ogni disputa relativa al progetto "LogWhisperer AI", sarà competente in via esclusiva il Foro di Milano, Italia.
+Il presente accordo è regolato dalla legge italiana. Per qualsiasi controversia derivante dall'interpretazione, esecuzione o risoluzione della presente licenza e per ogni disputa relativa al progetto "LogWhispererAI", sarà competente in via esclusiva il Foro di Milano, Italia.

 Contatti

--- a/README.md
+++ b/README.md
@@ -10,7 +10,7 @@

 🎯 Visione del Progetto

-LogWhisperer AI trasforma i log di sistema e database spesso incomprensibili in alert azionabili descritti in "plain language". È pensato per piccole web agency e freelance che gestiscono infrastrutture (AWS, DigitalOcean, VPS) senza avere un sistemista senior dedicato.
+LogWhispererAI trasforma i log di sistema e database spesso incomprensibili in alert azionabili descritti in "plain language". È pensato per piccole web agency e freelance che gestiscono infrastrutture (AWS, DigitalOcean, VPS) senza avere un sistemista senior dedicato.

 ## 🚀 Stato di Sviluppo

@@ -237,6 +237,11 @@ LogWhispererAI/
 ├── tests/
 │   ├── __init__.py
 │   └── test_logwhisperer.py     # Test suite Python
+├── tools/
+│   └── fake-backend/            # Mock API server per sviluppo frontend
+│       ├── server.js            # Server Express mock
+│       ├── Dockerfile           # Containerizzazione
+│       └── README.md            # Documentazione tool
 └── .opencode/
    ├── opencode.json            # Configurazione MCP servers
    ├── agents/                  # Configurazioni agenti individuali
@@ -256,6 +261,31 @@ LogWhispererAI/
        └── context7_documentation_retrivial/
 ```

+## 🛠️ Tools di Sviluppo
+
+### Fake Backend (Mock API)
+
+Per sviluppare e testare il frontend senza dipendere dal backend reale:
+
+```bash
+# Avvia il mock API server
+cd tools/fake-backend
+npm install
+node server.js
+
+# Oppure con Docker
+docker compose up fake-backend -d
+```
+
+**Endpoint:** `http://localhost:3000/api/analyze`
+
+Simula le risposte AI con delay di 1.5s. Utile per:
+- Sviluppo UI offline
+- Testing senza costi API
+- Demo senza dipendenze esterne
+
+Vedi `docs/tools_fake_backend.md` per documentazione completa.
+
 ## ⚖️ Licenza e Note Legali

 Questo software è **proprietà riservata** di Luca Sacchi Ricciardi.
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -1,6 +1,7 @@
-# Docker Compose - LogWhisperer AI Development Environment
+# Docker Compose - LogWhispererAI Development Environment
 # Usage: docker compose up -d
-# Access: http://localhost:5173
+# Access Frontend: http://localhost:5173
+# Access Fake Backend API: http://localhost:3000

 services:
  frontend:
@@ -18,8 +19,11 @@ services:
    environment:
      - NODE_ENV=development
      - CHOKIDAR_USEPOLLING=true
+      - VITE_API_URL=http://fake-backend:3000
    # Ensure container restarts on failure
    restart: unless-stopped
+    depends_on:
+      - fake-backend
    # Health check to verify the service is running
    healthcheck:
      test: ["CMD", "wget", "-q", "--spider", "http://localhost:5173"]
@@ -28,6 +32,25 @@ services:
      retries: 3
      start_period: 40s

+  fake-backend:
+    build:
+      context: ./tools/fake-backend
+      dockerfile: Dockerfile
+    container_name: logwhisperer-fake-backend
+    ports:
+      - "3000:3000"
+    environment:
+      - PORT=3000
+      - DELAY_MS=1500
+      - NODE_ENV=production
+    restart: unless-stopped
+    healthcheck:
+      test: ["CMD", "node", "-e", "require('http').get('http://localhost:3000/health', (r) => r.statusCode === 200 ? process.exit(0) : process.exit(1))"]
+      interval: 30s
+      timeout: 3s
+      retries: 3
+      start_period: 5s
+
 volumes:
  node_modules:
    driver: local
--- a/docs/1.setup_procedure/agents.md
+++ b/docs/1.setup_procedure/agents.md
@@ -1,6 +1,6 @@
-# LogWhisperer AI - Agent Staff Catalog
+# LogWhispererAI - Agent Staff Catalog

-Catalogo completo degli agenti AI specializzati che collaborano sul progetto LogWhisperer AI.
+Catalogo completo degli agenti AI specializzati che collaborano sul progetto LogWhispererAI.

 ---

@@ -211,7 +211,7 @@ Mantiene aggiornata la documentazione e il changelog.
 Esperto in automazione e orchestrazione n8n.

 **Responsabilità:**
- Interfacciare LogWhisperer AI con l'istanza Docker su 192.168.254.12
+- Interfacciare LogWhispererAI con l'istanza Docker su 192.168.254.12
 - Configurazione e testing dei Webhook di ricezione log
 - Monitorare esecuzioni per garantire applicazione "Metodo Sacchi" nei prompt LLM
 - Troubleshooting della connessione tra script Bash locale e API n8n
--- a/docs/1.setup_procedure/setup.md
+++ b/docs/1.setup_procedure/setup.md
@@ -1,4 +1,4 @@
-Ottimo progetto. Per trasformare **LogWhisperer AI** in un prodotto reale in 4 giorni usando **OpenCode.ai**, dobbiamo configurare l'ambiente in modo che l'agente non si limiti a scrivere codice, ma agisca come un vero team di sviluppo (Tech Lead + Developer + QA).
+Ottimo progetto. Per trasformare **LogWhispererAI** in un prodotto reale in 4 giorni usando **OpenCode.ai**, dobbiamo configurare l'ambiente in modo che l'agente non si limiti a scrivere codice, ma agisca come un vero team di sviluppo (Tech Lead + Developer + QA).

 Ecco come configurare OpenCode.ai seguendo la tua metodologia **Spec-Driven**, **TDD** e il **Metodo Sacchi**.

--- a/docs/frontend_landing_plan.md
+++ b/docs/frontend_landing_plan.md
@@ -1,6 +1,6 @@
 # Piano d'Azione per lo Sviluppo della Landing Page

-**Obiettivo:** Creare una landing page di alta qualità che comunichi efficacemente l'UVP di LogWhisperer AI e converta i visitatori in utenti attivi.
+**Obiettivo:** Creare una landing page di alta qualità che comunichi efficacemente l'UVP di LogWhispererAI e converta i visitatori in utenti attivi.

 ## 🎯 UVP da Comunicare
 > *"Il DevOps tascabile che traduce i crash del tuo server e ti dice l'esatto comando per risolverli"*
--- a/docs/git-history.md
+++ b/docs/git-history.md
@@ -1,6 +1,6 @@
-# Git History - LogWhisperer AI
+# Git History - LogWhispererAI

-**Repository:** LogWhisperer AI  
+**Repository:** LogWhispererAI  
 **Branch Principale:** `main`  
 **Ultimo Aggiornamento:** 2026-04-02  
 **Commit Corrente:** `88cfe9a`  
@@ -18,7 +18,7 @@

 ## Panoramica

-Questo documento traccia la storia dei commit del progetto LogWhisperer AI. Viene aggiornato periodicamente per riflettere l'evoluzione del codebase.
+Questo documento traccia la storia dei commit del progetto LogWhispererAI. Viene aggiornato periodicamente per riflettere l'evoluzione del codebase.

 ### Convenzioni di Commit

--- a/docs/prd.md
+++ b/docs/prd.md
@@ -1,5 +1,5 @@
 # Product Requirements Document (PRD) - MVP
-## Progetto: LogWhisperer AI (aka Sacchi's Server Sentinel)
+## Progetto: LogWhispererAI (aka Sacchi's Server Sentinel)

 **Status:** 🟢 MVP Active Development - Sprint 1 Completed  
 **Last Updated:** 2026-04-02  
--- a/docs/prompt.project.manager.md
+++ b/docs/prompt.project.manager.md
@@ -4,7 +4,7 @@ Here is the English translation:

 **PROMPT TO INSERT INTO THE AI:**

-*"Act as a Tech Lead and Project Manager expert in Lean Startup and Micro-SaaS methodologies. I have provided you with the Product Requirements Document (PRD) for the 'LogWhisperer AI' project.
+*"Act as a Tech Lead and Project Manager expert in Lean Startup and Micro-SaaS methodologies. I have provided you with the Product Requirements Document (PRD) for the 'LogWhispererAI' project.
 Our goal is to launch this MVP to market in just 4 days ('fail fast, fail cheap' approach) using No-Code/Low-Code logic wherever possible to save time.
 Your task is to analyze the PRD and generate a development strategy ('Spec-driven development') structured as follows:*

--- a/docs/reviews/sprint1_review.md
+++ b/docs/reviews/sprint1_review.md
@@ -1,5 +1,5 @@
 # Project Review - Sprint 1
-## LogWhisperer AI - Log Ingestion
+## LogWhispererAI - Log Ingestion

 **Data Review:** 2026-04-02  
 **Sprint:** 1 - Log Ingestion Script  
@@ -430,7 +430,7 @@ Tutti i deliverable dello Sprint 1 sono stati prodotti e verificati con successo

 ---

-**Review Condotta da:** Agent Staff LogWhisperer AI  
+**Review Condotta da:** Agent Staff LogWhispererAI  
 **Data:** 2026-04-02  
 **Prossima Review:** Post-Sprint 2

--- a/docs/roadmap_ideas.md
+++ b/docs/roadmap_ideas.md
@@ -1,6 +1,6 @@
 # Roadmap & Suggerimenti di Sviluppo

-> **Documento Living** - Questo file raccoglie idee, suggerimenti e potenziali nuove funzionalità per LogWhisperer AI.
+> **Documento Living** - Questo file raccoglie idee, suggerimenti e potenziali nuove funzionalità per LogWhispererAI.
 > 
 > Ultimo aggiornamento: 2026-04-03

@@ -289,4 +289,4 @@ Hai un'idea? Aggiungila a questo documento seguendo il formato:

 ---

-*Documento mantenuto dal team LogWhisperer AI*
+*Documento mantenuto dal team LogWhispererAI*
--- a/docs/setup_config_archive.md
+++ b/docs/setup_config_archive.md
@@ -1,4 +1,4 @@
-# 🤖 Staff di Agenti AI - LogWhisperer AI
+# 🤖 Staff di Agenti AI - LogWhispererAI

 Questo documento definisce i ruoli, le responsabilità e le configurazioni per i sotto-agenti da utilizzare in OpenCode.ai per garantire un workflow "Spec-Driven" e "Safety First".

--- a/docs/specs/ai_pipeline.md
+++ b/docs/specs/ai_pipeline.md
@@ -10,7 +10,7 @@
 ## 1. Overview

 ### 1.1 Scopo
-L'AI Processing Pipeline è il cuore intelligente di LogWhisperer AI. Trasforma log grezzi di sistema in insight azionabili utilizzando OpenRouter per accedere a modelli AI (GPT-4o-mini) con fallback automatico e costi ottimizzati.
+L'AI Processing Pipeline è il cuore intelligente di LogWhispererAI. Trasforma log grezzi di sistema in insight azionabili utilizzando OpenRouter per accedere a modelli AI (GPT-4o-mini) con fallback automatico e costi ottimizzati.

 ### 1.2 Flusso Dati

@@ -56,7 +56,7 @@ Il prompt di sistema incorpora esplicitamente i tre pilastri del Metodo Sacchi:
 ### 2.2 System Prompt Completo

 ```javascript
-const SYSTEM_PROMPT = `Sei LogWhisperer AI, un assistente DevOps esperto specializzato nell'analisi di log di sistema.
+const SYSTEM_PROMPT = `Sei LogWhispererAI, un assistente DevOps esperto specializzato nell'analisi di log di sistema.

 ## MISSIONE
 Analizza i log ricevuti e fornisci insight azionabili in italiano, semplice e chiaro.
@@ -305,7 +305,7 @@ const SITE_URL = process.env.OPENROUTER_SITE_URL || 'https://logwhisperer.ai';
 const APP_NAME = process.env.OPENROUTER_APP_NAME || 'LogWhispererAI';

 // System Prompt (incollare qui il SYSTEM_PROMPT completo)
-const SYSTEM_PROMPT = `Sei LogWhisperer AI...`;
+const SYSTEM_PROMPT = `Sei LogWhispererAI...`;

 // Input dal nodo precedente
 const inputData = $input.first().json;
--- a/docs/sprint1_verification.md
+++ b/docs/sprint1_verification.md
@@ -1,6 +1,6 @@
 # Sprint 1 Verification Report

-**Progetto:** LogWhisperer AI  
+**Progetto:** LogWhispererAI  
 **Sprint:** 1 - Log Ingestion Script  
 **Data Verifica:** 2026-04-02  
 **Verificatore:** OpenCode Agent  
@@ -38,7 +38,7 @@

 ## 1. Overview

-Questo documento certifica il completamento dello Sprint 1 del progetto LogWhisperer AI. Lo sprint aveva come obiettivo la creazione di uno script Bash per l'ingestion dei log di sistema, seguendo la metodologia TDD (Test-Driven Development) e il Metodo Sacchi.
+Questo documento certifica il completamento dello Sprint 1 del progetto LogWhispererAI. Lo sprint aveva come obiettivo la creazione di uno script Bash per l'ingestion dei log di sistema, seguendo la metodologia TDD (Test-Driven Development) e il Metodo Sacchi.

 ---

--- a/docs/tools_fake_backend.md
+++ b/docs/tools_fake_backend.md
@@ -0,0 +1,192 @@
+# Fake Backend Tool
+
+> **Strumento di sviluppo per simulare risposte API AI**
+> 
+> Scopo: Permettere lo sviluppo e il testing del frontend senza dipendere dal backend reale o dalle API di OpenRouter.
+
+---
+
+## 📋 Descrizione
+
+Il `fake-backend` è un server Node.js/Express che simula le risposte dell'API di LogWhispererAI. È progettato per:
+
+- **Sviluppo UI**: Testare l'interfaccia utente con risposte realistiche
+- **Demo offline**: Mostrare il prodotto senza connessione internet
+- **Testing**: Validare il flusso frontend senza costi API
+- **Onboarding**: Permettere ai nuovi sviluppatori di lavorare subito
+
+---
+
+## 🚀 Endpoint API
+
+### POST /api/analyze
+
+Analizza un log e restituisce una risposta AI simulata.
+
+**Request:**
+```http
+POST http://localhost:3000/api/analyze
+Content-Type: application/json
+
+{
+  "log": "FATAL: database system is out of memory"
+}
+```
+
+**Response (dopo 1.5s delay):**
+```json
+{
+  "success": true,
+  "analysis": {
+    "title": "PostgreSQL Out of Memory",
+    "description": "Il database ha esaurito la memoria disponibile...",
+    "command": "ps aux | grep postgres | head -5 && free -h",
+    "isSafe": true,
+    "note": "Verifica processi Postgres e memoria disponibile."
+  },
+  "timestamp": "2026-04-03T10:30:00.000Z"
+}
+```
+
+**Errori gestiti:**
+- `400 Bad Request`: Payload vuoto o malformato
+- `500 Internal Error`: Errore server generico
+
+---
+
+## 🛠️ Setup
+
+### Prerequisiti
+- Node.js 18+
+- npm 9+
+
+### Installazione
+
+```bash
+# Entra nella directory
+cd tools/fake-backend
+
+# Installa dipendenze
+npm install
+
+# Avvia il server
+node server.js
+```
+
+Il server sarà disponibile su `http://localhost:3000`
+
+---
+
+## 🐳 Docker
+
+Per avviare il fake backend con Docker:
+
+```bash
+# Dalla root del progetto
+docker compose up fake-backend -d
+```
+
+Il servizio sarà esposto sulla porta 3000.
+
+---
+
+## 🔧 Configurazione
+
+Variabili ambiente (opzionali):
+
+```bash
+PORT=3000              # Porta server (default: 3000)
+DELAY_MS=1500          # Delay simulazione AI (default: 1500ms)
+```
+
+---
+
+## 📁 Struttura
+
+```
+tools/fake-backend/
+├── server.js          # Server Express principale
+├── package.json       # Dipendenze npm
+├── Dockerfile         # Containerizzazione
+└── README.md          # Questo file
+```
+
+---
+
+## 🔒 Sicurezza
+
+⚠️ **ATTENZIONE**: Questo è uno strumento di sviluppo. NON usarlo in produzione:
+- Nessuna autenticazione implementata
+- Risposte statiche predefinite
+- Nessuna validazione input avanzata
+- CORS abilitato per tutte le origini
+
+---
+
+## 🧪 Test Manuale
+
+```bash
+# Test endpoint analyze
+curl -X POST http://localhost:3000/api/analyze \
+  -H "Content-Type: application/json" \
+  -d '{"log": "Error: Connection refused"}'
+```
+
+---
+
+## 📝 Note per Sviluppatori
+
+### Aggiungere nuove risposte mock
+
+Modifica l'oggetto `MOCK_RESPONSES` in `server.js`:
+
+```javascript
+const MOCK_RESPONSES = {
+  'errore-specifico': {
+    title: 'Titolo Problema',
+    description: 'Descrizione...',
+    command: 'comando-da-eseguire',
+    isSafe: true,
+    note: 'Nota aggiuntiva'
+  }
+};
+```
+
+### Pattern matching
+
+Il server cerca keyword nel log e restituisce la risposta appropriata:
+- "memory" / "oom" → PostgreSQL OOM
+- "connection refused" / "502" → Nginx/Connection error
+- Default → Risposta generica
+
+---
+
+## 🤝 Integrazione Frontend
+
+Per usare il fake backend dal frontend React:
+
+```typescript
+const analyzeLog = async (log: string) => {
+  const response = await fetch('http://localhost:3000/api/analyze', {
+    method: 'POST',
+    headers: { 'Content-Type': 'application/json' },
+    body: JSON.stringify({ log })
+  });
+  return response.json();
+};
+```
+
+---
+
+## 🔄 Passaggio a Backend Reale
+
+Quando il backend reale è pronto:
+
+1. Aggiorna l'URL in `InteractiveDemo.tsx`
+2. Aggiungi autenticazione (JWT/API Key)
+3. Rimuovi CORS permissivo
+4. Implementa rate limiting
+
+---
+
+*Strumento creato seguendo il principio "Safety First" del Metodo Sacchi*
--- a/frontend/Dockerfile.dev
+++ b/frontend/Dockerfile.dev
@@ -1,4 +1,4 @@
-# Dockerfile.dev - Development container for LogWhisperer AI Frontend
+# Dockerfile.dev - Development container for LogWhispererAI Frontend
 # Optimized for Node.js with Hot Module Replacement (HMR)

 FROM node:20-alpine
--- a/frontend/src/components/layout/Footer.tsx
+++ b/frontend/src/components/layout/Footer.tsx
@@ -53,7 +53,7 @@ export const Footer: React.FC = () => {
            <div className="flex items-center gap-2 mb-4">
              <span className="text-2xl">🌌</span>
              <span className="text-xl font-bold text-white tracking-tight">
-                LogWhisperer AI
+                LogWhispererAI
              </span>
            </div>
            <p className="text-slate-400 text-sm leading-relaxed mb-6">
@@ -226,7 +226,7 @@ export const Footer: React.FC = () => {
        <div className="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 py-6">
          <div className="flex flex-col sm:flex-row items-center justify-between gap-4">
            <p className="text-slate-500 text-sm">
-              © {currentYear} LogWhisperer AI. Tutti i diritti riservati.
+              © {currentYear} LogWhispererAI. Tutti i diritti riservati.
            </p>
            <p className="text-slate-600 text-xs">
              Made with ❤️ by Luca Sacchi Ricciardi
--- a/frontend/src/components/layout/Navbar.tsx
+++ b/frontend/src/components/layout/Navbar.tsx
@@ -12,7 +12,7 @@ export const Navbar: React.FC<NavbarProps> = ({ onCtaClick }) => {
        <div className="flex items-center gap-2">
          <span className="text-2xl">🌌</span>
          <span className="text-xl font-bold text-slate-900 tracking-tight">
-            LogWhisperer AI
+            LogWhispererAI
          </span>
        </div>

@@ -20,7 +20,7 @@ export const Navbar: React.FC<NavbarProps> = ({ onCtaClick }) => {
        <button
          onClick={onCtaClick}
          className="px-5 py-2.5 bg-indigo-600 hover:bg-indigo-700 text-white font-semibold rounded-lg transition-colors duration-200 focus:outline-none focus:ring-2 focus:ring-indigo-500 focus:ring-offset-2 text-sm sm:text-base"
-          aria-label="Inizia gratis con LogWhisperer AI"
+          aria-label="Inizia gratis con LogWhispererAI"
        >
          Inizia Gratis
        </button>
--- a/frontend/src/components/sections/Hero.tsx
+++ b/frontend/src/components/sections/Hero.tsx
@@ -49,7 +49,7 @@ export const Hero: React.FC<HeroProps> = ({
          <button
            onClick={onSecondaryCtaClick}
            className="w-full sm:w-auto px-8 py-4 bg-white hover:bg-slate-50 text-slate-700 font-semibold rounded-xl border-2 border-slate-200 transition-all duration-200 focus:outline-none focus:ring-2 focus:ring-slate-400 focus:ring-offset-2 text-lg"
-            aria-label="Guarda la demo di LogWhisperer AI"
+            aria-label="Guarda la demo di LogWhispererAI"
          >
            ▶️ Guarda la Demo
          </button>
--- a/frontend/src/components/sections/InteractiveDemo.tsx
+++ b/frontend/src/components/sections/InteractiveDemo.tsx
@@ -1,85 +1,34 @@
 import React, { useState } from 'react';
-import { Terminal, Copy, Check, Loader2, AlertCircle, Activity } from 'lucide-react';
+import { Terminal, Copy, Check, Loader2, AlertCircle, Activity, Server, Globe, Code } from 'lucide-react';

-// Mock data for demo logs
+// Demo log presets - only the content, not the analysis
 const DEMO_LOGS = [
  {
    id: 'postgres-oom',
    label: 'PostgreSQL OOM',
-    icon: <Database className="w-4 h-4" />,
+    icon: Server,
    logContent: `FATAL: database system is out of memory
 DETAIL: Failed on request of size 8192
 HINT: Check memory usage and limits
 CONTEXT: automatic vacuum of table "public.events"`,
-    analysis: {
-      title: 'PostgreSQL Out of Memory',
-      description: 'Il database ha esaurito la memoria disponibile durante un\'operazione di vacuum automatico su una tabella molto grande.',
-      command: 'ps aux | grep postgres | head -5 && free -h',
-      isSafe: true,
-      note: 'Verifica processi Postgres e memoria disponibile. Se necessario, aumenta work_mem o shared_buffers.',
-    },
  },
  {
    id: 'nginx-502',
    label: 'Nginx 502 Bad Gateway',
-    icon: <Globe className="w-4 h-4" />,
+    icon: Globe,
    logContent: `2024/01/15 14:32:15 [error] 1234#1234: *56789 connect() failed (111: Connection refused) while connecting to upstream, client: 192.168.1.100, server: api.example.com, upstream: "127.0.0.1:3000"`,
-    analysis: {
-      title: 'Nginx 502 - Backend Non Raggiungibile',
-      description: 'Nginx non riesce a connettersi al backend sulla porta 3000. Probabilmente il servizio è down.',
-      command: 'sudo systemctl status app-service && netstat -tlnp | grep 3000',
-      isSafe: true,
-      note: 'Verifica stato del servizio backend. Se stopped, avvia con: sudo systemctl start app-service',
-    },
  },
  {
    id: 'node-exception',
    label: 'Node.js Exception',
-    icon: <Code className="w-4 h-4" />,
+    icon: Code,
    logContent: `Error: connect ECONNREFUSED 127.0.0.1:5432
    at TCPConnectWrap.afterConnect [as oncomplete] (net.js:1141:16)
    at emitErrorNT (internal/streams/destroy.js:92:8)
    at processTicksAndRejections (internal/process/task_queues.js:80:21)`,
-    analysis: {
-      title: 'Node.js - Connessione Database Rifiutata',
-      description: 'L\'applicazione Node non riesce a connettersi al database PostgreSQL sulla porta 5432.',
-      command: 'sudo systemctl status postgresql && sudo netstat -tlnp | grep 5432',
-      isSafe: true,
-      note: 'Verifica che PostgreSQL sia in esecuzione. Se down, avvia con: sudo systemctl start postgresql',
-    },
  },
 ];

-// Icon components
-function Database(props: React.SVGProps<SVGSVGElement>) {
-  return (
-    <svg {...props} viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round">
-      <ellipse cx="12" cy="5" rx="9" ry="3" />
-      <path d="M3 5V19A9 3 0 0 0 21 19V5" />
-      <path d="M3 12A9 3 0 0 0 21 12" />
-    </svg>
-  );
-}
-
-function Globe(props: React.SVGProps<SVGSVGElement>) {
-  return (
-    <svg {...props} viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round">
-      <circle cx="12" cy="12" r="10" />
-      <line x1="2" y1="12" x2="22" y2="12" />
-      <path d="M12 2a15.3 15.3 0 0 1 4 10 15.3 15.3 0 0 1-4 10 15.3 15.3 0 0 1-4-10 15.3 15.3 0 0 1 4-10z" />
-    </svg>
-  );
-}
-
-function Code(props: React.SVGProps<SVGSVGElement>) {
-  return (
-    <svg {...props} viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round">
-      <polyline points="16 18 22 12 16 6" />
-      <polyline points="8 6 2 12 8 18" />
-    </svg>
-  );
-}
-
 interface LogAnalysis {
  title: string;
  description: string;
@@ -88,26 +37,60 @@ interface LogAnalysis {
  note: string;
 }

+interface ApiResponse {
+  success: boolean;
+  analysis: LogAnalysis & { originalLog?: string };
+  meta?: {
+    processingTime: string;
+    model: string;
+    timestamp: string;
+  };
+  error?: string;
+  message?: string;
+}
+
+const API_URL = import.meta.env.VITE_API_URL || 'http://localhost:3000';
+
 export const InteractiveDemo: React.FC = () => {
  const [selectedLog, setSelectedLog] = useState<string | null>(null);
  const [isAnalyzing, setIsAnalyzing] = useState(false);
  const [analysis, setAnalysis] = useState<LogAnalysis | null>(null);
  const [copied, setCopied] = useState(false);
+  const [error, setError] = useState<string | null>(null);
+
+  const handleLogSelect = async (logId: string) => {
+    const logData = DEMO_LOGS.find((l) => l.id === logId);
+    if (!logData) return;

-  const handleLogSelect = (logId: string) => {
    setSelectedLog(logId);
    setIsAnalyzing(true);
    setAnalysis(null);
    setCopied(false);
+    setError(null);

-    // Simulate AI analysis delay
-    setTimeout(() => {
-      const log = DEMO_LOGS.find((l) => l.id === logId);
-      if (log) {
-        setAnalysis(log.analysis);
+    try {
+      // Real API call to fake-backend
+      const response = await fetch(`${API_URL}/api/analyze`, {
+        method: 'POST',
+        headers: {
+          'Content-Type': 'application/json',
+        },
+        body: JSON.stringify({ log: logData.logContent }),
+      });
+
+      const data: ApiResponse = await response.json();
+
+      if (!response.ok || !data.success) {
+        throw new Error(data.message || `HTTP error! status: ${response.status}`);
+      }
+
+      setAnalysis(data.analysis);
+    } catch (err) {
+      console.error('API Error:', err);
+      setError(err instanceof Error ? err.message : 'Errore durante l\'analisi. Verifica che il backend sia attivo.');
+    } finally {
      setIsAnalyzing(false);
    }
-    }, 1500);
  };

  const handleCopyCommand = () => {
@@ -119,6 +102,7 @@ export const InteractiveDemo: React.FC = () => {
  };

  const selectedLogData = DEMO_LOGS.find((l) => l.id === selectedLog);
+  const SelectedIcon = selectedLogData?.icon || Terminal;

  return (
    <section id="demo-interattiva" className="w-full py-24 lg:py-32 bg-white" aria-labelledby="demo-heading">
@@ -131,6 +115,9 @@ export const InteractiveDemo: React.FC = () => {
          <p className="text-lg text-slate-600 max-w-2xl mx-auto">
            Seleziona un log di esempio e vedi come l'AI lo trasforma in un comando risolutivo in pochi secondi.
          </p>
+          <p className="text-sm text-slate-500 mt-2">
+            Backend: <code className="bg-slate-100 px-2 py-1 rounded">{API_URL}</code>
+          </p>
        </div>

        {/* Two Column Layout */}
@@ -154,7 +141,9 @@ export const InteractiveDemo: React.FC = () => {
            <div className="p-4 border-b border-slate-700">
              <p className="text-slate-400 text-sm mb-3">Seleziona un log di esempio:</p>
              <div className="flex flex-wrap gap-2">
-                {DEMO_LOGS.map((log) => (
+                {DEMO_LOGS.map((log) => {
+                  const IconComponent = log.icon;
+                  return (
                    <button
                      key={log.id}
                      onClick={() => handleLogSelect(log.id)}
@@ -166,10 +155,11 @@ export const InteractiveDemo: React.FC = () => {
                      } disabled:opacity-50 disabled:cursor-not-allowed`}
                      aria-pressed={selectedLog === log.id}
                    >
-                    {log.icon}
+                      <IconComponent className="w-4 h-4" />
                      {log.label}
                    </button>
-                ))}
+                  );
+                })}
              </div>
            </div>

@@ -197,7 +187,7 @@ export const InteractiveDemo: React.FC = () => {
            aria-live="polite"
            aria-atomic="true"
          >
-            {!selectedLog && !isAnalyzing && !analysis && (
+            {!selectedLog && !isAnalyzing && !analysis && !error && (
              <div className="h-full flex flex-col items-center justify-center text-center text-slate-400">
                <Activity className="w-16 h-16 mb-4 opacity-50" aria-hidden="true" />
                <p className="text-lg">L'output dell'analisi apparirà qui</p>
@@ -218,12 +208,24 @@ export const InteractiveDemo: React.FC = () => {
              </div>
            )}

-            {analysis && !isAnalyzing && (
+            {error && !isAnalyzing && (
+              <div className="h-full flex flex-col items-center justify-center text-center">
+                <AlertCircle className="w-16 h-16 mb-4 text-red-500" aria-hidden="true" />
+                <p className="text-lg font-medium text-red-700 mb-2">Errore</p>
+                <p className="text-sm text-slate-600 mb-4">{error}</p>
+                <p className="text-xs text-slate-500">
+                  Assicurati che il fake-backend sia in esecuzione:<br />
+                  <code className="bg-slate-200 px-2 py-1 rounded">docker compose up fake-backend -d</code>
+                </p>
+              </div>
+            )}
+
+            {analysis && !isAnalyzing && !error && (
              <div className="space-y-6">
                {/* Analysis Header */}
                <div className="flex items-start gap-3">
                  <div className="w-10 h-10 bg-indigo-100 rounded-full flex items-center justify-center flex-shrink-0">
-                    <AlertCircle className="w-5 h-5 text-indigo-600" aria-hidden="true" />
+                    <SelectedIcon className="w-5 h-5 text-indigo-600" aria-hidden="true" />
                  </div>
                  <div>
                    <h3 className="text-xl font-bold text-slate-900">{analysis.title}</h3>
--- a/frontend/src/components/sections/OnboardingWizard.tsx
+++ b/frontend/src/components/sections/OnboardingWizard.tsx
@@ -94,7 +94,7 @@ export const OnboardingWizard: React.FC<OnboardingWizardProps> = ({ onComplete }
            Inizia in 3 semplici passi
          </h2>
          <p className="text-lg text-slate-600 max-w-2xl mx-auto">
-            Configura LogWhisperer AI sul tuo server in meno di 5 minuti.
+            Configura LogWhispererAI sul tuo server in meno di 5 minuti.
          </p>
        </div>

@@ -145,7 +145,7 @@ export const OnboardingWizard: React.FC<OnboardingWizardProps> = ({ onComplete }
                  <Rocket className="w-10 h-10 text-indigo-600" aria-hidden="true" />
                </div>
                <h3 className="text-2xl font-bold text-slate-900 mb-4">
-                  Benvenuto su LogWhisperer AI
+                  Benvenuto su LogWhispererAI
                </h3>
                <p className="text-slate-600 mb-6 max-w-lg mx-auto">
                  Il tuo assistente DevOps personale che monitora i log del server 
--- a/frontend/src/components/sections/ProblemSolution.tsx
+++ b/frontend/src/components/sections/ProblemSolution.tsx
@@ -75,7 +75,7 @@ export const ProblemSolution: React.FC = () => {
                  🌌
                </div>
                <div>
-                  <div className="font-semibold text-slate-900">LogWhisperer AI</div>
+                  <div className="font-semibold text-slate-900">LogWhispererAI</div>
                  <div className="text-xs text-slate-500">Ora</div>
                </div>
              </div>
--- a/tools/fake-backend/.gitignore
+++ b/tools/fake-backend/.gitignore
@@ -0,0 +1,33 @@
+# Dependencies
+node_modules/
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+
+# Runtime data
+pids
+*.pid
+*.seed
+*.pid.lock
+
+# Coverage directory used by tools like istanbul
+coverage/
+
+# Logs
+logs
+*.log
+
+# Environment variables
+.env
+.env.local
+.env.*.local
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+
+# OS
+.DS_Store
+Thumbs.db
--- a/tools/fake-backend/Dockerfile
+++ b/tools/fake-backend/Dockerfile
@@ -0,0 +1,31 @@
+# Dockerfile for Fake Backend
+# Development mock API server for LogWhispererAI
+
+FROM node:20-alpine
+
+# Set working directory
+WORKDIR /app
+
+# Copy package files
+COPY package*.json ./
+
+# Install dependencies
+RUN npm ci --only=production
+
+# Copy server code
+COPY server.js ./
+
+# Expose port 3000
+EXPOSE 3000
+
+# Set environment variables
+ENV PORT=3000
+ENV DELAY_MS=1500
+ENV NODE_ENV=production
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
+  CMD node -e "require('http').get('http://localhost:3000/health', (r) => r.statusCode === 200 ? process.exit(0) : process.exit(1))"
+
+# Start server
+CMD ["node", "server.js"]
--- a/tools/fake-backend/package-lock.json
+++ b/tools/fake-backend/package-lock.json
@@ -0,0 +1,854 @@
+{
+  "name": "fake-backend",
+  "version": "1.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "fake-backend",
+      "version": "1.0.0",
+      "license": "ISC",
+      "dependencies": {
+        "cors": "^2.8.6",
+        "express": "^5.2.1"
+      }
+    },
+    "node_modules/accepts": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/accepts/-/accepts-2.0.0.tgz",
+      "integrity": "sha512-5cvg6CtKwfgdmVqY1WIiXKc3Q1bkRqGLi+2W/6ao+6Y7gu/RCwRuAhGEzh5B4KlszSuTLgZYuqFqo5bImjNKng==",
+      "license": "MIT",
+      "dependencies": {
+        "mime-types": "^3.0.0",
+        "negotiator": "^1.0.0"
+      },
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
+    "node_modules/body-parser": {
+      "version": "2.2.2",
+      "resolved": "https://registry.npmjs.org/body-parser/-/body-parser-2.2.2.tgz",
+      "integrity": "sha512-oP5VkATKlNwcgvxi0vM0p/D3n2C3EReYVX+DNYs5TjZFn/oQt2j+4sVJtSMr18pdRr8wjTcBl6LoV+FUwzPmNA==",
+      "license": "MIT",
+      "dependencies": {
+        "bytes": "^3.1.2",
+        "content-type": "^1.0.5",
+        "debug": "^4.4.3",
+        "http-errors": "^2.0.0",
+        "iconv-lite": "^0.7.0",
+        "on-finished": "^2.4.1",
+        "qs": "^6.14.1",
+        "raw-body": "^3.0.1",
+        "type-is": "^2.0.1"
+      },
+      "engines": {
+        "node": ">=18"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/express"
+      }
+    },
+    "node_modules/bytes": {
+      "version": "3.1.2",
+      "resolved": "https://registry.npmjs.org/bytes/-/bytes-3.1.2.tgz",
+      "integrity": "sha512-/Nf7TyzTx6S3yRJObOAV7956r8cr2+Oj8AC5dt8wSP3BQAoeX58NoHyCU8P8zGkNXStjTSi6fzO6F0pBdcYbEg==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.8"
+      }
+    },
+    "node_modules/call-bind-apply-helpers": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/call-bind-apply-helpers/-/call-bind-apply-helpers-1.0.2.tgz",
+      "integrity": "sha512-Sp1ablJ0ivDkSzjcaJdxEunN5/XvksFJ2sMBFfq6x0ryhQV/2b/KwFe21cMpmHtPOSij8K99/wSfoEuTObmuMQ==",
+      "license": "MIT",
+      "dependencies": {
+        "es-errors": "^1.3.0",
+        "function-bind": "^1.1.2"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      }
+    },
+    "node_modules/call-bound": {
+      "version": "1.0.4",
+      "resolved": "https://registry.npmjs.org/call-bound/-/call-bound-1.0.4.tgz",
+      "integrity": "sha512-+ys997U96po4Kx/ABpBCqhA9EuxJaQWDQg7295H4hBphv3IZg0boBKuwYpt4YXp6MZ5AmZQnU/tyMTlRpaSejg==",
+      "license": "MIT",
+      "dependencies": {
+        "call-bind-apply-helpers": "^1.0.2",
+        "get-intrinsic": "^1.3.0"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
+    },
+    "node_modules/content-disposition": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/content-disposition/-/content-disposition-1.0.1.tgz",
+      "integrity": "sha512-oIXISMynqSqm241k6kcQ5UwttDILMK4BiurCfGEREw6+X9jkkpEe5T9FZaApyLGGOnFuyMWZpdolTXMtvEJ08Q==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=18"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/express"
+      }
+    },
+    "node_modules/content-type": {
+      "version": "1.0.5",
+      "resolved": "https://registry.npmjs.org/content-type/-/content-type-1.0.5.tgz",
+      "integrity": "sha512-nTjqfcBFEipKdXCv4YDQWCfmcLZKm81ldF0pAopTvyrFGVbcR6P/VAAd5G7N+0tTr8QqiU0tFadD6FK4NtJwOA==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
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+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
+    "node_modules/cookie-signature": {
+      "version": "1.2.2",
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+      "license": "MIT",
+      "engines": {
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+      }
+    },
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+      "dependencies": {
+        "object-assign": "^4",
+        "vary": "^1"
+      },
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+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.8"
+      }
+    },
+    "node_modules/wrappy": {
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+      "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
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+      "license": "ISC"
+    }
+  }
+}
--- a/tools/fake-backend/package.json
+++ b/tools/fake-backend/package.json
@@ -0,0 +1,17 @@
+{
+  "name": "fake-backend",
+  "version": "1.0.0",
+  "description": "",
+  "main": "index.js",
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "keywords": [],
+  "author": "",
+  "license": "ISC",
+  "type": "commonjs",
+  "dependencies": {
+    "cors": "^2.8.6",
+    "express": "^5.2.1"
+  }
+}
--- a/tools/fake-backend/server.js
+++ b/tools/fake-backend/server.js
@@ -0,0 +1,224 @@
+/**
+ * Fake Backend Server for LogWhispererAI
+ * 
+ * Simulates AI analysis responses for frontend development
+ * without requiring real backend or OpenRouter API calls.
+ * 
+ * @author LogWhispererAI Team
+ * @version 1.0.0
+ */
+
+const express = require('express');
+const cors = require('cors');
+
+const app = express();
+const PORT = process.env.PORT || 3000;
+const DELAY_MS = parseInt(process.env.DELAY_MS) || 1500;
+
+// Enable CORS for all origins (development only!)
+app.use(cors({
+  origin: '*',
+  methods: ['GET', 'POST'],
+  allowedHeaders: ['Content-Type']
+}));
+
+// Parse JSON bodies
+app.use(express.json());
+
+// Mock responses database
+const MOCK_RESPONSES = {
+  // PostgreSQL errors
+  'memory': {
+    title: 'PostgreSQL Out of Memory',
+    description: 'Il database ha esaurito la memoria disponibile. Questo è spesso causato da query troppo pesanti o da un numero eccessivo di connessioni.',
+    command: 'ps aux | grep postgres | head -5 && free -h',
+    isSafe: true,
+    note: 'Verifica processi Postgres e memoria disponibile. Se necessario, riavvia il servizio con: sudo systemctl restart postgresql'
+  },
+  'oom': {
+    title: 'PostgreSQL Out of Memory',
+    description: 'Out Of Memory error rilevato. Il sistema ha esaurito la RAM disponibile.',
+    command: 'free -h && ps aux --sort=-%mem | head -10',
+    isSafe: true,
+    note: 'Identifica i processi che consumano più memoria e considera di aumentare la RAM o ottimizzare le query.'
+  },
+  // Nginx/Connection errors
+  'connection refused': {
+    title: 'Connessione al Backend Rifiutata',
+    description: 'Il reverse proxy (Nginx) non riesce a connettersi al backend. Il servizio potrebbe essere down.',
+    command: 'sudo systemctl status app-service && netstat -tlnp | grep 3000',
+    isSafe: true,
+    note: 'Verifica che il servizio backend sia in esecuzione. Se stopped, avvia con: sudo systemctl start app-service'
+  },
+  '502': {
+    title: 'Nginx 502 Bad Gateway',
+    description: 'Nginx riceve errore dal server upstream. Il backend non risponde correttamente.',
+    command: 'sudo systemctl status backend && tail -n 50 /var/log/backend/error.log',
+    isSafe: true,
+    note: 'Controlla i log del backend per errori specifici. Potrebbe essere necessario un riavvio.'
+  },
+  // Node.js errors
+  'econnrefused': {
+    title: 'Node.js - Connessione Database Rifiutata',
+    description: 'L\'applicazione Node non riesce a connettersi al database PostgreSQL sulla porta 5432.',
+    command: 'sudo systemctl status postgresql && sudo netstat -tlnp | grep 5432',
+    isSafe: true,
+    note: 'Verifica che PostgreSQL sia in esecuzione. Se down, avvia con: sudo systemctl start postgresql'
+  },
+  'exception': {
+    title: 'Node.js Exception',
+    description: 'Eccezione non gestita nell\'applicazione Node.js. Potrebbe essere un errore di connessione o configurazione.',
+    command: 'pm2 logs app --lines 50',
+    isSafe: true,
+    note: 'Controlla i log dell\'applicazione per l\'errore completo. Usa pm2 restart app se necessario.'
+  },
+  // Disk errors
+  'disk': {
+    title: 'Spazio su Disco Esaurito',
+    description: 'Il filesystem ha raggiunto il 100% di utilizzo. Nessuna scrittura possibile.',
+    command: 'df -h && du -sh /var/log/* | sort -hr | head -10',
+    isSafe: true,
+    note: 'Identifica quali directory occupano più spazio. Pulisci log vecchi con: sudo find /var/log -name "*.log" -mtime +7 -delete'
+  },
+  'no space': {
+    title: 'Spazio su Disco Esaurito',
+    description: 'Spazio insufficiente sul disco. Impossibile scrivere nuovi dati.',
+    command: 'df -h && du -sh /tmp /var/log /var/cache',
+    isSafe: true,
+    note: 'Libera spazio eliminando file temporanei o log vecchi.'
+  }
+};
+
+// Default response for unknown errors
+const DEFAULT_RESPONSE = {
+  title: 'Errore di Sistema',
+  description: 'È stato rilevato un errore nel log. L\'analisi suggerisce di verificare lo stato dei servizi e le risorse di sistema.',
+  command: 'sudo systemctl status && df -h && free -h',
+  isSafe: true,
+  note: 'Esegui il comando sopra per verificare lo stato generale del sistema. Se il problema persiste, controlla i log specifici del servizio.'
+};
+
+/**
+ * Find matching mock response based on log content
+ * @param {string} logContent - The log content to analyze
+ * @returns {object} - Matching response or default
+ */
+function findMockResponse(logContent) {
+  const logLower = logContent.toLowerCase();
+  
+  for (const [keyword, response] of Object.entries(MOCK_RESPONSES)) {
+    if (logLower.includes(keyword.toLowerCase())) {
+      return response;
+    }
+  }
+  
+  return DEFAULT_RESPONSE;
+}
+
+/**
+ * POST /api/analyze
+ * Analyze log and return AI-like response
+ */
+app.post('/api/analyze', (req, res) => {
+  const { log } = req.body;
+
+  // Validate input
+  if (!log || typeof log !== 'string' || log.trim().length === 0) {
+    return res.status(400).json({
+      success: false,
+      error: 'Bad Request',
+      message: 'Il campo "log" è richiesto e non può essere vuoto',
+      timestamp: new Date().toISOString()
+    });
+  }
+
+  // Simulate AI processing delay
+  setTimeout(() => {
+    try {
+      const analysis = findMockResponse(log);
+      
+      res.json({
+        success: true,
+        analysis: {
+          ...analysis,
+          originalLog: log.substring(0, 500) // Include first 500 chars for reference
+        },
+        meta: {
+          processingTime: `${DELAY_MS}ms`,
+          model: 'fake-backend-mock-v1',
+          timestamp: new Date().toISOString()
+        }
+      });
+    } catch (error) {
+      console.error('Error processing request:', error);
+      res.status(500).json({
+        success: false,
+        error: 'Internal Server Error',
+        message: 'Errore durante l\'analisi del log',
+        timestamp: new Date().toISOString()
+      });
+    }
+  }, DELAY_MS);
+});
+
+/**
+ * GET /health
+ * Health check endpoint
+ */
+app.get('/health', (req, res) => {
+  res.json({
+    status: 'ok',
+    timestamp: new Date().toISOString(),
+    uptime: process.uptime(),
+    version: '1.0.0'
+  });
+});
+
+/**
+ * GET /
+ * Root endpoint with API info
+ */
+app.get('/', (req, res) => {
+  res.json({
+    name: 'LogWhispererAI - Fake Backend',
+    version: '1.0.0',
+    description: 'Mock API server for frontend development',
+    endpoints: {
+      'POST /api/analyze': 'Analyze log and return AI-like response',
+      'GET /health': 'Health check endpoint'
+    },
+    documentation: 'See docs/tools_fake_backend.md'
+  });
+});
+
+// Error handling middleware
+app.use((err, req, res, next) => {
+  console.error('Unhandled error:', err);
+  res.status(500).json({
+    success: false,
+    error: 'Internal Server Error',
+    message: 'Errore imprevisto del server',
+    timestamp: new Date().toISOString()
+  });
+});
+
+// Start server
+app.listen(PORT, () => {
+  console.log(`
+╔══════════════════════════════════════════════════════════════╗
+║        LogWhispererAI - Fake Backend Server                  ║
+║                                                              ║
+║  🚀 Server running on http://localhost:${PORT}                 ║
+║  📖 Documentation: docs/tools_fake_backend.md                ║
+║  ⏱️  Simulated delay: ${DELAY_MS}ms                           ║
+║                                                              ║
+║  Endpoints:                                                  ║
+║    POST /api/analyze  - Analyze log and get mock AI response ║
+║    GET  /health       - Health check                         ║
+║                                                              ║
+║  Press Ctrl+C to stop                                        ║
+╚══════════════════════════════════════════════════════════════╝
+  `);
+});
+
+module.exports = app; // Export for testing
--- a/workflows/README.md
+++ b/workflows/README.md
@@ -1,4 +1,4 @@
-# LogWhisperer AI - Workflow n8n
+# LogWhispererAI - Workflow n8n

 Workflow per l'ingestion sicura dei log con validazione HMAC-SHA256.

--- a/workflows/REPORT.md
+++ b/workflows/REPORT.md
@@ -131,7 +131,7 @@ cd /home/google/Sources/LucaSacchiNet/LogWhispererAI

 # Output atteso:
 # ==========================================
-# LogWhisperer AI - Workflow Test Suite
+# LogWhispererAI - Workflow Test Suite
 # Target: http://192.168.254.12:5678
 # ==========================================
 #
--- a/workflows/logwhisperer_ingest.json
+++ b/workflows/logwhisperer_ingest.json
--- a/workflows/test_workflow.sh
+++ b/workflows/test_workflow.sh
@@ -1,6 +1,6 @@
 #!/bin/bash
 #
-# LogWhisperer AI - Workflow Test Script
+# LogWhispererAI - Workflow Test Script
 # Verifica che il workflow n8n risponda correttamente
 #

@@ -205,7 +205,7 @@ EOF
 # Main
 main() {
    echo "=========================================="
-    echo "LogWhisperer AI - Workflow Test Suite"
+    echo "LogWhispererAI - Workflow Test Suite"
    echo "Target: ${N8N_URL}"
    echo "=========================================="
    echo ""