Dee Agency occupies a specific niche in the shift toward autonomous systems. While the market is flooded with low-code agent builders and generic API wrappers, the actual challenge for many companies is two-fold: building a technical system that performs reliably and designing a user interface that makes sense when the primary actor is an AI. This is where Dmitry Kargaev’s studio operates.

The bridge between design and AI systems

The agency is a solo studio, a model that has gained traction among high-level engineers and designers who prioritize deep work over managing large organizational structures. By offering AI systems development alongside product design, the studio addresses a common friction point in software development. Usually, a company hires a design firm for the UI and a separate engineering firm for the backend. In the context of AI agents, these two disciplines are increasingly inseparable. The way an agent processes information—its system architecture—directly informs how it should be presented to the user.

Full-stack engineering for the agentic era

Rather than focusing on a single part of the software stack, the studio handles the entire pipeline from conceptual design to full-stack engineering. This includes the development of the AI systems themselves—the logic, the data handling, and the integration with large language models. This is a critical distinction from traditional design agencies that might stop at the visual mockup. For agents to be useful, they require tight feedback loops between the model output and the interface's reaction. By maintaining control over both, the studio can build more coherent agentic experiences that feel native to the technology.

Design for non-deterministic products

Designing for agents requires a departure from traditional mobile or web design patterns. Instead of clicking buttons to trigger specific actions, users interact with systems that have intent. The studio focuses on how to represent this intent and how to handle the errors that occur in non-deterministic systems. This involves creating new mental models for users, helping them understand what an agent is doing at any given moment and where its limitations lie. This kind of transparency design is a fundamental requirement for any professional AI product, yet it remains one of the most difficult elements to execute correctly.

Positioning in the agent ecosystem

In a market characterized by rapid prototyping, the studio acts as a high-velocity partner for teams that need to ship polished, AI-native products without the overhead of a massive internal team. This makes the studio a competitor to both boutique design firms and technical consultancies. Its specific focus on the intersection of the two gives it an advantage in the agent ecosystem, where the interface often is the system. The work involves taking a raw model and turning it into a functional product that users can trust in a professional context.