chapter ten
10 Building an AI assistant: putting the platform to work
This chapter covers
- Designing a personal AI assistant using our platform services
- Adding memory, knowledge, tools, safety, and observability incrementally
- Implementing the agent loop that coordinates reasoning, retrieval, and action
- Applying context engineering to assemble the right information for every request
- Deploying the complete application with the Workflow Service
Every platform service we’ve built solves a piece of the AI application puzzle. The Model Service generates responses. The Session Service remembers conversations. The Data Service retrieves organizational knowledge. The Tool Service calls external systems. The Guardrails Service enforces safety policies. The Observability Service tracks what happens. The Experimentation Service measures improvement. The Workflow Service deploys and scales it all. What we haven't done yet is build a complete application that weaves these services together from start to finish. That's what this chapter is about.