using gen AI in two modes: as an executor (helping with writing, summarizing, coding, translating, and information retrieval) and as a thought partner (for brainstorming, problem solving, or challenging ideas).
Thanks to the cognitive architecture design, goal-oriented behavior is at the core of our LLM agents. When presented with a goal, they employ a planning and execution process to achieve it. If the goal can be accomplished using atomic game actions, we generate a plan that outlines how to solve the objective. For longer-term goals, we decompose the ... See more