What AI Agents Are Built On
AI might feel like a completely new layer of computing.
But the foundations that ran the cloud now run the agent era.
The Excavation
Start at the surface. Dig beneath the AI agent to uncover the underlying mechanics.
What You've Uncovered
Dig to see what's underneath.
AI Agent
Discovering AI Agents
Workloads in tech continue to change and evolve. But the need for predictable,
isolated, reproducible execution hasn't changed.
The same principles that made the cloud possible now make AI agents possible.
What's underneath matters.
At the surface, an AI agent can feel like something entirely new. But dig beneath it and you'll find layers doing very different jobs: coordinating work, reasoning about what happens next, connecting to tools, and providing somewhere for all of it to run.
The more capable agents become, the more we want them to do: access tools, work with data, execute code, and take action on our behalf. That's where trust becomes just as important as intelligence.
Giving an agent fewer capabilities might make it safer, but it can also make it less useful. The challenge is creating the right boundaries around where and how it operates.
That's why familiar ideas like isolation, reproducibility, and controlled environments matter again. The workload may be new. The need for a safe place to run isn't.