To ship production-grade AI agents you need:. ⏱️ Long-running tasks without timeouts.🏋️‍♀️ Durability, retries and queues.⚙️ True runtime freedom.✋ Human-in-the-loop.💬 Realtime apps + streaming.👀 Observability & monitoring. We've built it all so you don't have to👇

Follow the steps here:.

Anyone using @cursor_ai to write their @triggerdotdev background jobs?. 📃 Install our Cursor rules file to one-shot them ↓

RT @MisterMattRoth: If you need long running background processes for your AI workflows, media processing, or anything else. I've really en….

RT @capeflow: Luma is simple and beautiful but it’s a standalone product and its data is completely silo’ed from the rest of your stack. F….

RT @Lorenzo__CB: Quick context:.→ Most of our clients run events as part of their marketing or community.→ Integrating event data into CRMs….

RT @justynjj: It’s testament to a product when you can migrate your existing infrastructure over to it in such a short timeframe. @triggerd….

RT @alexdanilo99: We used to have serious reliability problems with a home-grown system that used puppeteer (memory issues). One day my c….

In their customer story, @alexdanilo99 shares how they migrated all of @magicpatterns most important background jobs to Trigger from their previous unreliable self-hosted solution (in a single day).

Magic Patterns transforms how product teams prototype by generating UI components using existing design systems. They process 200k+ mission-critical background jobs a month using our platform:. ✨ Generating thousands of UI preview screenshots in real-time. 💳 Resetting monthly

RT @triggerdotdev: Should AI agents be fully autonomous? Yes and no:. 🤖 For predictable agentic workflows full autonomy is effective.✋ For….

RT @maverickdotdev: Another sick product built on @triggerdotdev.

✨ With Trigger v4 we are doubling down on creating the best possible developer experience for building intelligent agents. Upgrade early to take advantage of our new waitpoints, warm starts and loads of other brand new features. GA coming soon 👀:.

🚀 For more complex agents, like this @Nextjs + @xyflowdev example, we use a human-in-the-loop step to check an audio summary generated from transcribed text. This ensures that any published audio meets the quality required for human listeners.

🤖 For predictable agentic workflows you can implement solutions which automatically triage results at different steps. Guardrails are mechanisms that run alongside AI agents to validate input, check output, monitor streaming content in real-time.

Should AI agents be fully autonomous? Yes and no:. 🤖 For predictable agentic workflows full autonomy is effective.✋ For complex agents a human-in-the-loop step is practically non-negotiable. Why?. 🙋 Qualifying steps can vastly improve final results.💸 Autonomous LLM chains can

RT @murshudoff: @triggerdotdev Team, so far me and our customers are super happy. 🚀 Hundreds of cell agents are executed in seconds. Previ….

RT @murshudoff: Production environment also moved to managed clouds of @supabase and @triggerdotdev. DX is awesome. Costs are smaller than….

RT @DrifLotfi: I stopped using N8N and Make a long time ago. They’re great for prototyping but that’s where it stops. These days I sim….

✨ We think developers should spend their time building agents, not wrestling with servers. Check out our new AI agents landing page to learn more:.