The Agent Loop Is the Easy Part.
Everyone's building agents. But here's what Databricks admitted at Data + AI Summit 2026: the core agent loop is only 1% of the work.
The other 99%? The hidden cost nobody talks about:
🔸Token capacity management
🔸Secure deployment
🔸Evaluation and monitoring
🔸Context and memory
🔸Governance and sharing
That's exactly what Agent Bricks is built to solve.
Since launch, over 100,000 agents have been built on the platform, now processing more than 1 quadrillion tokens per year. Customers like AstraZeneca, Fox Corporation, and Block have already shipped production agents on it.
What makes it unique: it connects data and AI in one place. Because agents don't just consume data, they produce it. Every reasoning trace, action, and memory output needs to be governed and analyzed.
For data engineers and architects in Bangladesh building AI systems, this is the architecture shift to watch. The agent runtime is becoming part of the data platform.
What's your biggest challenge when moving agents to production? 👇