👨‍💻 Want to speed up your Temporal dev workflow?. Check out our Temporal + @signadot Sandboxes tutorial!. You’ll learn how to test new worker code without full redeploys, using isolated sandboxes in a remote Kubernetes cluster. Start learning now! 👉.

Temporal 🤝 Microsoft Azure. Learn how to streamline Temporal Worker deployments on AKS. This guide shares practical steps for containerizing apps, automating deployments, and scaling resilient workflows on Kubernetes. Check it out here 👉

Temporal 🤝 @Azure. Learn how to streamline Temporal Worker deployments on AKS. This guide shares practical steps for containerizing apps, automating deployments, and scaling resilient workflows on Kubernetes. Check it out here 👉

🎥 Don’t miss our SVP of Engineering, Preeti, as she dives into the real challenges of taking AI agents to production. From orchestration to failure handling, learn how leading teams are designing for reliability from day one. Watch the session now 👇.

RT @lennypruss: @temporalio With Temporal, your agent code stays clean while getting enterprise-grade reliability and scalability: automati….

RT @lennypruss: @temporalio @OpenAI Looking at the AI landscape today, the teams that will succeed with agents aren't building the clevere….

RT @lennypruss: @temporalio @OpenAI @AmplifyPartners I wrote up a full post (complete with yes, code snippets) here:

RT @talkdevnow: @temporalio + @OpenAI launch enterprise integration for production-ready AI agents!. Durable Execution engine + OpenAI Agen….

“Agents are just dynamic workflows.”. And like any distributed system, they need retries, recovery, & long-running call handling. That’s why Temporal should be the default execution layer for agents. 📖 Great read by @lennypruss.

RT @Liggi: @OpenAIDevs @temporalio Temporal is cool af. We’ve been using it at @GradientLabsAI since the beginning.

RT @OpenAIDevs: Agents SDK + @temporalio = durable, production-ready agents. Wrap your agent logic in a Temporal workflow to persist state….

🎥 See @OpenAI Agents SDK + Temporal in action!. Agentic apps shouldn't be chaos. APIs fail. State vanishes. LLMs flake. You still have to ship. Now you can, with built-in retries, state, and scale. Agents that don’t fall apart when the wind blows. 📹

Prototype agent? ✅.Production-ready? 😬. Now use Temporal’s x OpenAI’s Agents SDK to get. ✅ Durability. ✅ Scale. ✅ No orchestration spaghetti. Build agents that actually survive prod.

Temporal 🤝 @Manetu_inc 🤝 @Yugabyte. We partnered to open-source a new YCQL driver, letting you run Temporal on YugabyteDB, no dual-db needed. Manetu helps others boost performance & simplify ops with a horizontally scalable, OSS backend. Try it 👉

Want to build an AI agent that doesn't fall apart?. 🛠️ In this free course, you’ll build a Python agent with Temporal that books travel via chatbot, recovers from LLM/tool failures, and scales in prod. Durable. Modular. Real. Start now 👉

Want to find a way to successfully build your AI model like @gorgiasio ?. Learn more about how they successfully built their agentic AI use case using Temporal👉

That cool AI agent you built? It’ll break in prod. Unless you’re using us + Google Gemini/Veo, like our new open-source video generator. Durable Execution, no lost work. Stop coding retries. Start shipping AI. @googleaidevs + @temporalio. 📖 Read up:

Curious how Gradient Labs achieved this? Check out the full case study here ➡️

Building workflows that last weeks or years? 🤯 Join our meetup to learn how Temporal tackles long-running workflows & versioning challenges. Talks from Temporal’s Simon Emms & Hugo Caupert from Takima. Live Q&A too!

💬 “Observability matters more than accuracy.” — Douwe Kiela. AI doesn’t need perfection—it needs traceability. Temporal helps teams replay workflows so they can dig into that crucial 5-10%. How’s your team handling observability?.