AIC26: What Agent Teams Asked Us

At The AI Conference 2026 in San Francisco, Chalk reported that organizations at different stages of AI adoption have distinct needs, but production teams consistently prioritize reliable context, cost management, and operational control. Common agent deployment problems include hallucinations caused by stale data, irrelevant or missing retrieved information, costly repeated reasoning and tool calls, and unauthorized access to sensitive tools or data. Chalk positions its real-time context engine as infrastructure for delivering current, governed data at decision time, with support for temporal consistency, tool-call governance, production-aligned evaluations, and observability beyond standard tracing. Conference discussions indicated that teams are increasingly focused less on whether agents can function and more on ownership of data, model selection, context governance, deployment requirements, and accountability for agent decisions.

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