adminPrompt Injection Defense for Tool-Using AI Agents: Practical Guardrails
A practical defense-in-depth approach to prompt injection for AI agents that browse, retrieve documents and call tools with real side effects.
Multi-Region AI Failover: Designing Resilient Inference Across Providers and Clouds
How to design multi-region AI inference with provider failover, regional data boundaries, health checks and graceful degradation.
LLM Evaluation in CI/CD: Catch Regressions Before Model or Prompt Changes Ship
A practical CI/CD workflow for testing LLM prompts, models, retrieval and agent behavior before changes reach production.
Vector Database Cost Control: Reducing RAG Storage and Query Spend
How to control vector database costs in production RAG systems through chunking, retention, indexing, caching and workload-aware architecture.
AI Agent Observability: Tracing Decisions, Tool Calls and Failures in Production
A production framework for tracing AI agent decisions, tool calls, retries, latency and failures without drowning teams in raw logs.
AI Unit Economics by Workload: Why One Blended Cost per User Is Misleading
How to analyze AI unit economics by workload, model, customer and successful task instead of relying on one blended cost per user.
AI Agent Tool Reliability: Idempotency, Retries and Safe Side Effects
A production guide to idempotency, retries, timeouts and safe side effects when AI agents call external tools.
Enterprise AI Data Residency: Designing Regional Storage and Model Processing Boundaries
A practical architecture for enterprise AI data residency across regional storage, model APIs, logs, embeddings and disaster recovery.
LLM Gateway Architecture: Rate Limits, Routing, Caching and Provider Failover
How to design an LLM gateway for model routing, rate limits, caching, provider failover and production observability.
AI Cost Attribution: How to Measure Spend by Feature, Customer and Successful Task
A practical framework for attributing AI spend across models, features, customers, agents and successful business outcomes.
