Our Approach to AI Agent Development
Our approach to developing AI agents is iterative and focused on delivering value and return on investment (ROI). We typically start with a minimal number of agents, focusing on well-defined tasks to avoid unnecessary complexity.
We emphasize the crucial role of prompt engineering, understanding that careful crafting, testing, and iteration of prompts are essential for optimal agent performance.
We aim to empower you to build your own AI strategy going forward, and we provide training and support to ensure you can manage and update your AI agents and workflows independently.
We prioritize agent reliability through techniques like data validation. While tools are a critical component, we also understand the importance of limiting the number of tools per agent to maintain reliability.
We believe in establishing the value of a process before automating it, and always maintain a focus on the potential ROI of the AI agent. For mission-critical agents, we advocate for including a human-in-the-loop for oversight and intervention.