What agentic system design means
Agentic system design is the architecture work that turns model capability into reliable product behavior. It defines what the agent can observe, what tools it can use, how it plans, when it asks for help, what it logs, how it evaluates itself, and how the user can recover when the system takes the wrong path. The model matters, but the surrounding system determines whether the experience survives real users.
Where prototypes usually break
Most early agent builds fail in predictable places: the planner selects the wrong tool, the agent loses task context, the UI hides what happened, the eval only checks happy paths, or the system has no recovery route after a failed action. These are not prompt problems. They are system design problems that should be solved before scale, not after support tickets arrive.
What Coop builds
Coop designs the agentic core around your existing product goal: components, agent loops, tool boundaries, eval signals, recovery paths, observability, and the product surface. Discovery starts with a written read of your scenario and an architecture sketch, then build work is delivered by milestone if the fit is right.
Direct answers
What is agentic system design?
Agentic system design is the architecture and product design work around an AI model: agent loops, tools, memory, evaluation, recovery, observability, and user-facing controls.
Is agentic system design the same as prompt engineering?
No. Prompting is one input. Agentic system design defines the operating system around the model so the agent can act, fail, recover, and be evaluated in production.