We Have Built a Test-Time Diffusion Deep Researcher (TTD-DR) System (LangGraph + LangSmith)

At DataLinkk, we built a production-ready Test-Time Diffusion Deep Researcher (TTD-DR) using LangGraph and LangSmith — and ran the entire multi-stage workflow LIVE end-to-end.

🔹 Workflow Breakdown

1️⃣ Planning agent to define research strategy

2️⃣ Noisy draft generation for hypothesis exploration

3️⃣ Iterative search & retrieval across sources

4️⃣ Diffusion-style refinement to denoise insights

5️⃣ Feasibility reasoning and validation

6️⃣ Final structured research report generation

This system demonstrates how test-time diffusion reasoning can be applied to deep research workflows using long-running agents, iterative refinement, and full trace visibility inside LangSmith.

👉 Ideal for:

Deep Research Automation

AI Agent Builders

LLM Reasoning Systems

Enterprise Knowledge Workflows

Multi-Stage Agentic Pipelines

#AI #LangGraph #LangSmith #AIAgents #DeepResearch #LLM #Automation #AgenticAI #EnterpriseAI #ResearchAutomation

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