GMH / Research Log
Engineering notes for teams building with multiple AI model providers—covering routing, cost, latency, reliability, and integration.
Routing Reliability Cost IntegrationA practical guide to LLM routing strategies: what cost, latency, availability, task, budget, and rule based routing each solve, how static and dynamic routing differ, and how to combine signals into one decision.
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Research archive
Technical writing on routing decisions, provider behavior, API design, latency, cost, and reliability.
A practical, developer-focused guide to LLM observability tools: what each one solves, the criteria that matter, and how to compare open-source vs hosted options.
A developer-focused guide to LLM observability: what it is, how it differs from monitoring and evaluation, and which signals to watch in production LLM apps.
A practical, developer-focused guide to LLM monitoring: what to track in production, from request volume and TTFT to token usage, API cost, and alerts.
A developer-focused guide to LLM integration: choosing a model, calling the API, handling errors and cost, and scaling from one model to many.