The cookbook for safe, powerful agents

As companies move from experimenting with AI agents to deploying them in production, one pattern becomes clear: capability without control is a liability. Agents operate in long-running, stateful environments. They browse the web, read repositories, execute shell commands, call APIs and interact with internal systems. That power is transformative — and it meaningfully expands the…

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Build Trust In Your Agency’s AI

As AI use grows in government, people are asking important questions about fairness, control, and responsibility. This blog looks at how public agencies can build trust by focusing on clear communication, ethical design, and employee involvement. It shows that trust isn’t just a nice-to-have — it’s key to making AI work for everyone. Go to…

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AI hardware too expensive? ‘Just rent it,’ cloud providers say

Whenever a tech titan makes a sweeping statement about the future, industry professionals and even everyday users listen with both curiosity and skepticism. This was the case after Jeff Bezos recently said that in the future, no one will own a personal computer. Instead, we will rent computational power from centralized data centers. He likened…

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Confluent Extends Its Reach Up the AI Stack With Agent2Agent Support

The conversation around AI agents has focused heavily on reasoning. Less attention has gone to coordination. Enterprises that have been experimenting with agents are struggling to manage agents that share context and operate across live business systems without stepping on each other. Running a single agent on streaming data is manageable. Running several agents across…

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