ZedIoT helps you build and deploy Dify AI workflows — intelligent GPT agents, RAG chatbots, and private-hosted automation built for scale.
ZedIoT helps you unlock the full potential of Dify by designing and deploying end-to-end AI workflows tailored to your business needs. From GPT-powered agents to RAG-enabled search and backend automation, we build scalable, intelligent solutions on top of Dify’s open-source framework.
Build AI assistants with structured prompts, multi-turn memory, and external API logic — all inside a Dify agent workflow.
We create intelligent, event-driven workflows that combine GPT, plugins, data flows, and decision logic across your business.
Turn your internal knowledge base into a conversational agent using FAISS, Milvus, Weaviate, or custom vector stores.
Run Dify securely on Docker or Kubernetes with your own LLM endpoints, observability, and CI/CD pipelines.
Chat/Prompt
Event-driven
AI assistant, chatbot
Automation pipeline
High (dynamic thinking)
Medium (defined steps)
Gain full visibility into your AI workflows with real-time logs and smart monitoring tools in Dify.
Dify records every run with step-by-step logs, input/output data, error traces, and latency — all in a clean timeline view.
Inspect any variable or node to trace logic, understand LLM decisions, and verify external API responses.
Track each run as Success, Failure, or Aborted, with filters and trends to quickly spot and fix issues.
For deeper insight, connect Langfuse to analyze prompt quality, token usage, and LLM performance metrics.
Over 10 years of experience, serving 3,00+ clients across 20+ industries.
End-to-end AI automation design: frontend agent to backend workflow
Smooth integration of AI technologies into existing systems, improving operational efficiency.
Enterprise-grade deployment support (cloud or on-prem)
For any digital or smart management needs, click the button to connect with our experts within 24 hours.
It’s a combination of GPT agent logic, task execution steps, and optional RAG components — built inside Dify’s open-source platform.
Yes — using agents and workflow triggers, we can help you design complex AI flows that handle memory, APIs, and knowledge retrieval.
Absolutely. We support Docker/K8s deployment with monitoring, custom LLM endpoints, and data isolation.
Dify focuses on AI-driven conversations and prompt logic. n8n is better for backend process flows. We help you pick and connect both.
Absolutely. Many teams use Dify for agent design and GPT orchestration, while using n8n to handle backend workflows, API logic, or event automation.
In Dify, an Agent is designed for interactive, prompt-based tasks — like answering questions or acting as a chatbot — powered by an LLM. A Workflow, on the other hand, is a sequence of automated steps that execute when triggered by an event, API, or manual start.
Use an Agent for thinking, and a Workflow for doing.
Yes. Dify provides built-in execution logs, variable tracking, and workflow monitoring dashboards. You can inspect past runs, debug failures, and track workflow success rates in real time.
Absolutely. Dify is purpose-built for creating AI-first automation systems. You can combine prompts, LangChain agents, API nodes, and vector stores into powerful workflows or callable APIs.
ZedIoT helps teams design and launch intelligent, agent-based automation using Dify — fast and securely.
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