Remember when "AI agent" meant a chatbot that could book a restaurant? Those days are over.
We're now seeing agents that can:
- Research, write, and publish entire technical documentation
- Debug production code across multiple services
- Negotiate with other agents to complete complex multi-party tasks
The Orchestration Layer
The big players know the money isn't in individual agents. It's in orchestrating armies of them.
Microsoft's Copilot Studio, Google's Vertex AI Agent Builder, and Amazon's Bedrock Agents are all racing to own the orchestration layer.
The Storage Problem Nobody Talks About
Here's what the infrastructure folks are realizing: these agents generate *data*. Lots of it.
Every agent interaction, every decision tree, every rollback — it's all data that needs to be stored, indexed, and searchable. For compliance, for debugging, for improvement.
Traditional log management isn't built for this scale. We're talking petabytes of structured agent telemetry.