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Part five of the DNotifier × Hugging Face series — code-as-action agents versus structured workflows, sandbox risk, and where each orchestration layer fits.

Part four of the DNotifier × Hugging Face series — serverless multi-vendor routing versus dedicated Inference Endpoints, billing, cold starts, and when each fits.

Part three of the DNotifier × Hugging Face series — what three million Hub models actually means, where the signal is, and how to filter noise into a shortlist.

Part two of the DNotifier × Hugging Face series — open-weight models versus closed APIs, what actually changes technically and legally, and where each wins honestly.

Part one of the DNotifier × Hugging Face series — connect Inference Providers through one token, pick Hub models with routing hints, and mix open-weight models alongside closed APIs.

Part seven of the DNotifier × Gemini series — Vertex AI rebranded, HIPAA and VPC controls, Model Garden, and how enterprise compliance differs from app orchestration.

Part six of the DNotifier × Gemini series — when to use Flash, Pro, or Deep Think, how to tier models per agent, and the mistakes teams make in both directions.

Part five of the DNotifier × Gemini series — triage, resolution, and escalation agents in one workflow, with Gemini reading screenshots and text in a single call.

Part four of the DNotifier × Gemini series — Agent Development Kit strengths, the Google-ecosystem bet, and where a model-agnostic orchestration layer fits.