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Autonomous AI Systems Deployment: Rollbacks, Approvals, and Runtime Control for Real Production Use

A technical guide to shipping autonomous AI systems beyond demo mode. It covers approvals, rollbacks, rate limits, and runtime controls for real production use.

AI Systems Analysis

LLM Observability: What to Measure When AI Systems Reach Production

A production-minded guide to what to measure in live LLM systems. It covers latency, tool calls, retrieval quality, drift, and user-visible reliability.

AI Systems Analysis

Inference Optimization: How to Cut LLM Latency and GPU Cost Without Making the Product Feel Smaller

A practical guide to reducing LLM latency and GPU cost in production. It covers batching, routing, caching, observability, and ways to preserve product quality.

01 What the system does

02 What hurts now

03 What decision is blocked

04 Optional: logs, specs, traces, diffs

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For Practitioners

Autonomous AI Systems Deployment: Rollbacks, Approvals, and Runtime Control for Real Production Use

LLM Observability: What to Measure When AI Systems Reach Production

Inference Optimization: How to Cut LLM Latency and GPU Cost Without Making the Product Feel Smaller

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