4. Stakeholders and Roles

Feeda Studios adopt a stakeholder structure inspired by music production, where each role contributes to a cohesive output.

4.1 AI Studio Engineer

The AI Engineer acts as the session leader, analogous to a music studio engineer. Responsibilities include:

• Controlling studio hardware and software.

• Leading development sessions, setting standards, and ensuring process efficiency.

• Maintaining a deep understanding of tools, from physical devices to digital frameworks like ANA.

• Conducting sessions, troubleshooting issues, and optimizing workflows for optimal AI outputs.

4.2 Domain Knowledge Professional

This stakeholder provides specialized context, evolving prompt engineering into “context engineering.” Roles include:

• Supplying industry-specific information (e.g., healthcare, finance) to guide AI product development.

• Engineering contextual frameworks to enhance model accuracy and relevance.

• Collaborating to refine agent behaviors based on vertical expertise.

4.3 Prompt Engineer

Focused on natural language interactions, the Prompt Engineer:

• Crafts optimized, coherent prompts and scripts for LLMs.

• Iterates on communication strategies to elicit high-quality outputs.

• Ensures multimodal prompts (text/audio) align with session goals.

4.4 Product Developers

These experts handle the end-user experience:

• Designing UI/UX for AI products, including interfaces for agents and copilots.

• Managing product processes, from prototyping to deployment.

• Connecting backend (e.g., model APIs) with frontend (e.g., web/mobile apps).

4.5 Product Owner

The client (individual, team, or company) hosts the session and assumes ownership of outputs. They negotiate royalties with stakeholders and can tokenize assets for trading.

Collectively, these roles enable efficient production of AI products, with sessions typically lasting 4-8 hours, scalable to multi-day projects.