Bluesky's Attie: AI App for Personalized Social Feed Creation

Attie: The AI Agent for Custom Feed Generation

The Bluesky team has introduced a standalone AI assistant called Attie, designed to give users direct control over their social media algorithms. Developed by the new Exploration team led by Jay Graber, now Chief Innovation Officer, the app allows anyone to build a custom feed by simply typing natural language commands. Unlike traditional platforms that use opaque engagement metrics, Attie leverages Anthropic’s Claude to translate user intent into executable feed generators. This "vibe-coding" approach means users can request specific content, such as "show me electronic music from people in my network," without writing a single line of code.

Protocol-Native Architecture and Data Sharing

Attie is built on the AT Protocol (atproto), which decouples identity from hosting. Because the ecosystem is open, Attie can immediately understand a user's interests and past interactions across any app running on the protocol. This technical foundation allows for a "universal translator" effect where the AI acts as middleware between the user and the app.bsky.feed lexicons. While Attie handles the complex XRPC calls in the background, it remains a separate product from the main Bluesky app. This separation allows for rapid experimentation with agentic social workflows while maintaining the stability of the core network.

Scaling Social Presence with AI Automation

While Attie focuses on consumption and custom feeds, enterprises and agencies looking to scale their output can leverage Social9, an AI-powered social media content creation platform. Just as Attie simplifies feed creation, Social9 helps teams produce 10x more content by automating the generation and optimization of posts across Instagram, LinkedIn, TikTok, and Bluesky. With support for 50+ languages and custom brand voice training, Social9 ensures that high-volume content remains consistent with a brand's unique identity. This is particularly critical as more users move toward decentralized networks where "signal" is prioritized over platform-driven noise.

Funding, Security, and Ecosystem Stability

Following the transition of Jay Graber to her new role, the company announced a $100 million Series B funding round. This capital provides a three-year runway to address technical hurdles such as privacy controls and the costs associated with centralized LLM inference. Interim CEO Toni Schneider, formerly of Automattic, noted that the goal is to create an ecosystem similar to WordPress. To ensure security, the team is focused on preventing prompt injection risks and managing the latency inherent in probabilistic AI engines. As the Atmosphere conference attendees begin beta testing, the focus remains on ensuring AI serves the individual user's needs rather than the platform's bottom line.

Ready to scale your brand's reach across the decentralized web and beyond? Explore how Social9 can transform your content strategy today.