docs: update README with real project status

Reflect actual project progress in README:
- Sprint 2: COMPLETED (AI Pipeline + Telegram alerting)
- Sprint 3: IN PROGRESS (~80% - Landing Page development)
- Updated MVP features status with file references
- Changed sprint badge from 1 to 2 completed

Previous README showed Sprint 2/3 as 'in planning' when they
were actually completed/in progress. Now accurately reflects:
- Log Ingestion: DONE (scripts/)
- AI Processing: DONE (workflows/ with OpenRouter)
- Telegram Alerting: DONE (docs/telegram_setup.md)
- Landing Page: IN PROGRESS (frontend/ 80% complete)

README.md

@@ -4,7 +4,7 @@
 
 [![Tests](https://img.shields.io/badge/tests-12%2F12%20passing-brightgreen)]()
 [![Version](https://img.shields.io/badge/version-0.1.0-blue)]()
-[![Sprint](https://img.shields.io/badge/sprint-1%20completed-success)]()
+[![Sprint](https://img.shields.io/badge/sprint-2%20completed-success)]()
 [![Status](https://img.shields.io/badge/status-active%20development-orange)]()
 
 
@@ -17,17 +17,19 @@ LogWhisperer AI trasforma i log di sistema e database spesso incomprensibili in
 | Feature | Stato | Sprint |
 |---------|-------|--------|
 | ✅ Log Ingestion Script | **Completato** | Sprint 1 |
-| 🔄 AI Processing Pipeline | *In pianificazione* | Sprint 2 |
-| 🔄 Alerting (Telegram/Slack) | *In pianificazione* | Sprint 2-3 |
-| 🔄 Landing Page & Onboarding | *In pianificazione* | Sprint 3 |
+| ✅ AI Processing Pipeline | **Completato** | Sprint 2 |
+| ✅ Alerting (Telegram) | **Completato** | Sprint 2 |
+| 🚧 Landing Page & Onboarding | *In corso (~80%)* | Sprint 3 |
 
 ### Funzionalità MVP
 
-- **Log Ingestion** ✅: Script Bash leggero per il monitoraggio (tail -f) di log critici (syslog, nginx, postgres). Invia payload JSON via HTTP POST a webhook.
+- **Log Ingestion** ✅: Script Bash leggero per il monitoraggio (tail -f) di log critici (syslog, nginx, postgres). Invia payload JSON via HTTP POST a webhook. Script disponibili in `scripts/`.
 
-- **AI Processing Pipeline** 🔄: Workflow su n8n che analizza i log tramite LLM (OpenAI/Anthropic) applicando il Metodo Sacchi (Safety first, little often, double check).
+- **AI Processing Pipeline** ✅: Workflow n8n completo che riceve log via webhook, valida HMAC, analizza con OpenRouter (GPT-4o-mini) e restituisce JSON con analisi e comando risolutivo. Workflow in `workflows/logwhisperer_ingest.json`.
 
-- **Alerting Umano** 🔄: Notifiche su Telegram/Slack con sintesi del problema, severità e comando esatto per la mitigazione.
+- **Alerting Umano** ✅: Notifiche su Telegram con sintesi del problema, severità e comando esatto. Configurazione in `docs/telegram_setup.md`.
+
+- **Landing Page** 🚧: Interfaccia web React + Vite + Tailwind CSS con Hero, Problem/Solution, How It Works, e Demo Interattiva. In sviluppo in `frontend/`.
 
 🛠️ Stack Tecnologico
 Core Logic: Python 3.12+ (in venv)