Here’s what we keep seeing with enterprise AI projects: the models aren’t the problem. The months teams spend rebuilding everything underneath them are.
Before an AI assistant, workflow, or agent can reach production, someone has to solve model orchestration, knowledge retrieval, observability, permissions, auditability, and governance. Repeat that for every use case, and AI quickly becomes an infrastructure project instead of a business initiative.
The teams moving fastest are making a different call:
𝐁𝐮𝐢𝐥𝐝 𝐭𝐡𝐞 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧. 𝐃𝐨𝐧’𝐭 𝐫𝐞𝐛𝐮𝐢𝐥𝐝 𝐭𝐡𝐞 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦.
A production-ready AI platform should already provide:
🔹 Model flexibility, swap providers without rewriting logic
🔹 Built-in RAG, grounded answers from your own data, out of the box
🔹 Workflow orchestration, logic business reviewers can actually read
🔹 Monitoring & access control, observability and permissions from day one
That’s what allows IT teams to focus on delivering business value, and why the teams winning enterprise AI are the ones getting more applications into production—not the ones building more infrastructure.
We explore this idea in our latest article for IT leaders building internal AI applications: dify.ai/blog/build-ai-…#EnterpriseAI#AIAgents#AIPlatform#Dify
🚀 Dify is LIVE at AWS (@awscloud) Summit Hong Kong 2026!
The LangGenius K.K. Team is on the ground right now at the Hong Kong Convention and Exhibition Centre (HKCEC), Wan Chai — and we'd love to see you before the day wraps up.
Come by our booth to:
• Watch live demos of building production-ready agentic AI applications and workflows on Dify
• Talk through your own AI use cases with our team
Proud to be a Silver Sponsor of #AWSSummit Hong Kong. The energy on the floor is electric — swing by and say hi! 👋
#Dify#AWSSummit#AIAgents#GenAI#LLM
That's a wrap on AWS Summit LA 🎉
Great conversations all around. We got to meet teams building with AI across industries, run live demos, and hear firsthand how people are thinking about putting AI agents into production.
Thanks to everyone who stopped by, and to the @awscloud team for putting on a great event.
It was great meeting everyone at the summit. See you at the next one!
🎙️ Alvin Wu, Dify (LangGenius K.K.) country manager, just wrapped up a tech talk at the Red Hat booth at SuperAI (@superai_conf) 2026 in Singapore — representing Dify on the global AI stage.
Topic: Scaling Enterprise AI Agents with Dify and Red Hat AI
Alvin walked through how enterprises move from AI pilots to production: combining Dify’s agentic workflow engine with Red Hat AI’s enterprise infrastructure to deploy scalable, production-ready AI agents.
Thank you @RedHat for the invitation and for a great booth experience! 🤝
#Dify#SuperAI2026#RedHat#EnterpriseAI#AIAgents#GenAI
📢 Claude Fable 5 is now on Dify!
@AnthropicAI 's latest model brings serious upgrades in software engineering, knowledge work, and vision. You can start using it in your workflows today.
Dify handles the infrastructure, so you can focus on the use case. With its visual workflow builder, teams can connect Fable 5 to knowledge retrieval, tool calling, conditional logic, and multi-step automation to build production-ready AI applications around existing workflows.
Advanced model capability, built into the tools you're already using.
Update and start building.
marketplace.dify.ai/plugin/langgen…
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