Beyond the Black Box: Correlating AI Performance and Tokenomics with Splunk Agent Observability
As organizations move from experimental AI prototypes to critical, agentic business workflows, the "black box" of agent behavior has become a primary operational challenge. Unpredictable token consumption, hidden infrastructure costs, and non-deterministic outputs can quickly erode customer trust and inflate cloud bills. By leveraging Splunk Agent Observability (powered by the acquisition of Galileo), engineering teams can finally gain the granular, end-to-end visibility required to correlate AI performance with business outcomes and maintain full control over their AI stack.
Join our 4-part series of events designed to help you move beyond "vibes-based" development and into an era of evidence-based, cost-effective AI scaling:
Event Roadmap: From Prototyping to Secure Production
1. [Webinar] Build Reliable, Cost-Effective Agents
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Date & Time: July 28, 2026 | 10:00 AM PT
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Focus: Runaway token costs, opaque LLM governance, error diagnostics, SLO tracking, and prompt-injection guardrails.
If you are struggling with runaway token costs and opaque governance, this session is essential. We will demonstrate how to monitor the entire AI stack, from LLMs to underlying infrastructure, to diagnose failures and errors. You will learn how to track critical SLOs like latency and error rates, and implement custom SLM-powered guardrails to block sophisticated prompt-injection attacks and inaccurate or harmful responses before they impact your end-users.
👉 Register here
2. [Tech Talk] Inside Splunk Agent Observability: Understanding Agent Behavior, Tokens & Costs
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Date & Time: August 06, 2026 | 10:00 AM PT
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Focus: AI stack economics, dimensional token visualization, live comparison "bake-offs," and action-to-token mapping.
This technical deep dive explores how to master the economics of your AI stack by moving beyond theory. We will demonstrate how to visualize token consumption across multiple dimensions and conduct a live "bake-off" to compare token efficiency between different techniques. This session is designed for practitioners who need to map granular token consumption directly to specific agent actions and use precision scoring to validate task effectiveness and justify infrastructure investment.
👉 Register here
3. [Workshop] Build Better, Spend Less: A Hands-On Workshop on Token Efficiency
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Date & Time: August 27, 2026 | 10:00 AM PT
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Focus: 90-minute live instrumentation, Galileo integration, side-by-side efficiency trials, and traffic visibility with Luna models.
In this 90-minute hands-on session, you will work directly with a multi-agent travel planner application to gain live experience in instrumenting workflows. You will learn the fastest path to integrating Galileo into your existing agentic workflows to gain immediate, high-fidelity visibility. By the end of the session, you will have the practical skills to conduct side-by-side efficiency comparisons and deploy Luna models to maintain 100% traffic visibility while drastically reducing token costs and latency.
👉 Register here
4. [Office Hours] Agent Observability & Tokenomics
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Date & Time: September 24, 2026 | 11:00 AM PT
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Focus: Interactive Q&A, token consumption forecasting, hardware metric correlation (GPUs/memory/fabric), and PII leak prevention.
Scaling AI sustainably requires a data-driven approach to infrastructure. Join us for this interactive session where we address real-world deployment challenges, including how to forecast token consumption, correlate AI performance with hardware metrics—such as GPUs, memory, and network fabric—and implement proactive governance. We will discuss best practices for preventing PII leakage and runaway agent loops to ensure your AI remains safe and reliable in production.
👉 Register here
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