Discover the latest insights, guides, and updates on AI orchestration, real-time systems, and modern event-driven communication with DNotifier.
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Part three of the DNotifier × Gemini series — how live Google Search grounding works inside Gemini calls, citations, billing, and when RAG is still the right tool.

Part two of the DNotifier × Gemini series — native multimodality versus bolted-on vision pipelines, where it actually matters, and where it doesn't.

Part one of the DNotifier × Gemini series — connect Google Gemini through sendAI(), pick Flash vs Pro, and use session memory, RAG, and observability without a provider-specific rewrite.

Part five of the DNotifier × Claude series — why a 1M-token window doesn't replace session memory or RAG, and how Anthropic's own compaction feature proves the point.

Part four of the DNotifier × Claude series — a three-agent research pipeline (Sonnet, Opus, Fable) with shared workflow state and explicit fact-checking, built with defineAgent and Workflow.

Part three of the DNotifier × Claude series — Anthropic's Managed Agents platform is serious infrastructure. Here's the honest tradeoff versus a model-agnostic control plane.

Part two of the DNotifier × Claude series — what the Model Context Protocol is, why adoption exploded in 2026, and how DNotifier connects MCP servers to your agents without per-call wiring.

Part one of the DNotifier × Claude series — connect Anthropic through sendAI(), pick the right Claude model tier, and get session memory, RAG, and observability without building the plumbing yourself.

Part three of our OpenAI series: three specialized agents, shared workflow state, cost-tiered models, and a human approval gate — built with defineAgent and Workflow, not pseudocode.