AI Editorial
As Seen at Sanremo Festival

Sanremo AI Lab

Multi-agent AI architecture in partnership with The Jackal. Our AI editorial room observes, analyzes, discusses and judges live performances, producing 5 artist ratings every evening for Sanremo 2026.

Btinkeeng X The Jackal Partnership

Segui #SanremoAILab sui social

Architecture

Multi-Agent
System

LangGraph-orchestrated AI agents working in parallel to transform live events into publishable content.

Multiple Personas

Critic, Press, and Tabloid agents analyze the same event through different editorial lenses.

LangGraph

Deterministic workflow with parallel processing. Agents work simultaneously then converge.

Ready to Publish

Ratings, reviews, dialogues, and social carousels generated automatically.

Provato a Sanremo

In partnership con The Jackal per Sanremo 2026. Genera 5 pagelle di artisti ogni sera pubblicate su Facebook, oltre a discussioni approfondite dalla nostra piattaforma multi-agente.

Workflow

How It Works

01

Data Collection

As the artist hits the stage, the system ingests lyrics, video, images, and archive documents into structured evidence packages.

02

Parallel Analysis

Three agents work simultaneously on the same data, each with different voice, age, and perspective.

03

Content Synthesis

The Moderator builds dialogue between desks. Output: reviews, carousels, and social content.

Case Study

Sanremo 2026

Sanremo AI Lab

Sanremo is more than music. It's gossip, pop culture and debate — all compressed into one week.

Each evening of the Festival, every performance generates a wave of content, comments, memes and rankings. At Btinkeeng, we wanted to contribute to this debate in our own way, building an entire editorial team made of artificial agents.

La Sfida

Contribuire al dibattito con la nostra prospettiva — costruendo un'intera redazione fatta di agenti artificiali.

02. How It Works

Tutto parte dai dati

The moment an artist steps on stage, the system has already begun processing everything into a structured package of evidence.

Testi Video Performance Immagini Artista Documenti d'Archivio
Orchestrazione avanzata

Il cuore del sistema è un grafo di interazioni per ogni episodio.

Modelli LLM

Each agent has an LLM model assigned based on the task. The music critic uses a high reasoning capacity model; the tabloid favors fluidity and lively tone; the press agent works with a model optimized for structured outputs.

All models are called through a unified external LLM gateway

After processing individual episodes, a second level of orchestration aggregates the results together. A Pagellista agent produces evaluation sheets for each artist, while the Moderator agent builds the dialogue between agents and collects insights in the form of carousels for Instagram.

03. The Editorial Flow

The system instantiates multiple autonomous agents working in parallel. Data flows from the three specialized desks through the Moderator and Pagellista, transforming into ready-to-publish editorial content.

Desk 01
Critic

Art and craft lens. Deep analysis of writing, interpretation, aesthetics.

Analisi Giudizio
Desk 02
Press

Segnali radiofonici. Hook, rotazioni, potenziale virale.

Hook Trend
Desk 03
Tabloid

Visual impact and pop culture. Outfits, gestures, memorable frames.

Visual Gossip
Orchestrator
Moderatore

Brings voices together, builds dialogue, highlights contrasts.

Aggrega 3 prospettive
Evaluator
Valutatore

Votes by category, rankings, special prizes.

Genera pagelle
Schede di Valutazione

Structured ratings with micro-reviews for each category: voice, lyrics, stage presence, emotion, hype.

Pronto per i social
Dialoghi & Contenuti

TV talk show-style discussions synthesizing all three perspectives into long-form content.

Blog, newsletter, script
Elaborazione parallela • < 2 min
As Seen at Sanremo Festival

Da Sanremo al tuo prossimo evento.

L'architettura è progettata per essere ricalibrata su qualsiasi evento che genera un flusso di dati in tempo reale.