Add user personas to LLM analytics team page

contents/teams/llm-analytics/index.mdx

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+---
+
+### Who we're building for
+**Product Engineers** and **Full Stack Developers** who are building:
+- AI-native products (agents, assistants, copilots, specialized hardware) 
+- AI-adjacent products (LLMs integrated into existing products)
+
+**LLM analytics is a good fit if:**
+- They need to monitor traces, spans, token costs, latency, and analyze usage of AI features
+- They're using trace summaries to debug and evals to make product decisions
+- They care about questions like: “how does interacting with LLM features correlate with retention, usage, or revenue?”
+- They're already PostHog users (or should be) using [product analytics](/product-analytics) and [session replay](/session-replay) to combine qualitative context with quantitative data
+- They want to start getting value right away, without needing extensive setup and configuration
+
+**Who else might want to use LLM analytics at their org:**
+- **Application Ops / SRE** to monitor production AI systems for errors, prompt injection, jailbreaks, or other security issues
+- **Product Managers** to understand user sentiment, usage and make decisions about their AI roadmap
+- **Customer Success / Support Teams** to improve documentation or investigate user issues
+
+### Who we're NOT building for (right now)
+**AI Researchers** and **Machine Learning (ML) Engineers** doing:
+- Deep foundation model work
+- Complex benchmarking and evaluation
+- Advanced experimentation requiring specialized tooling
+
+These folks are running CI/CD pipelines and building full QA automation frameworks with performance benchmarks. 
+If they try us and churn, that's fine. We haven't built the tools they need (yet).