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Part two of the DNotifier × Azure AI series — Azure OpenAI Service versus Microsoft Foundry, consolidation versus replacement, and when each resource type fits.

Part one of the DNotifier × Azure AI series — connect your Azure resource, match deployment names in sendAI(), and avoid the 404s that look like integration failures.

Part ten of the DNotifier × Perplexity series — Sonar retirement as a live lock-in lesson, task-based routing, and the six-provider series throughline.

Part nine of the DNotifier × Perplexity series — public web grounding versus private knowledge bases, hybrid workflows, and routing by source of truth.

Part eight of the DNotifier × Perplexity series — answer engine versus multi-provider orchestration, Agent API overlap, and composing both in one workflow.

Part seven of the DNotifier × Perplexity series — domain allow/deny lists, recency and date filters, location, language, and scoping search for production.

Part six of the DNotifier × Perplexity series — tokens plus search-context fees, Deep Research billing, and estimating costs beyond headline per-token rates.

Part five of the DNotifier × Perplexity series — Sonar tiers and Agent API presets, a three-question framework, and Prompt Testing Studio comparisons.

Part four of the DNotifier × Perplexity series — managed runtime, built-in tools, max_steps, multi-model access, and when to adopt the API directly versus routing through DNotifier.