3. Studio Setup and Architecture

Feeda Studios are designed as immersive, high-tech environments optimized for AI development, mirroring the layout and functionality of professional recording studios.

3.1 Physical and Digital Infrastructure

• Dedicated Workstations: Each studio features purpose-built AI development computers capable of running the latest on-premise open-source models (e.g., Llama, Mistral) and cloud-based LLMs (e.g., via APIs from OpenAI, Anthropic, or Feeda aiOS). These systems are equipped with high-end GPUs, ample RAM, and storage for handling large-scale computations.

• Multimodal Input Devices: Keyboards and sound boards enable text and audio-based prompting, supporting natural language interfaces for voice-to-text interactions, audio synthesis, and multimodal model inputs (e.g., combining speech with visual data).

• Display Systems: Multi-dual monitors (typically 4-6 screens per workstation) allow simultaneous viewing of terminals, LLM chat interfaces, product prototypes, text outputs, and real-time analytics. This setup facilitates parallel workflows, such as monitoring model training while iterating on prompts.

• Integration Tools: Studios connect to Feeda aiOS for real-time access to the decentralized knowledge marketplace, ensuring agents draw from verified data sources. Security features include blockchain-based auditing for development sessions.

• Environment Design: Soundproofed rooms with ergonomic seating promote focused, distraction-free sessions, akin to isolation booths in music studios.

3.2 Software Ecosystem

• Core Frameworks: ANA for agent architecture, ensuring uniqueness; integration with Feeda aiOS for ecosystem compatibility.

• Development Tools: IDEs like VS Code with AI extensions, prompt engineering suites, and simulation environments for testing multi-agent networks.

• Collaboration Platforms: Real-time shared interfaces for stakeholders to co-edit prompts, designs, and code.