Topaz Labs is one of those secret weapons we use all the time for so many things. The quality of the upconversion it does is like magic. And now it's even easier to incorporate into your fast workflows with direct integration in Adobe Premiere:

Zentrik "Super PM" is included in the MTPCon London product bundle 🎉 For product teams exploring new AI and builder workflows, our role is simple: keep the customer evidence attached before the work moves into prototypes, plans, tickets, or agents. Thanks to Mind the Product for cooking such a great mix!

In this video, I share a deep dive into GuruOS, the platform built to help experts transition from manual content creation to a scalable info-product empire. I’ll walk you through how the AI agents collaborate to build your business assets—ensuring everything from your course modules to your SMS follow-ups stays aligned with your specific brand identity. Key highlights of this review: + Agentic Collaboration: Seeing how different AI agents work together to map out your business. + Faster Product Deployment: Cutting down the time it takes to build courses and membership areas. + Proven Systems: Leveraging the exact strategies used in dozens of massive launches. + The Full Ecosystem: A tour of the software features plus a peek into Ben Murray’s training academy. Watch it here: https://lnkd.in/gP6ns2UY

We got to talk directly with the creators of pi.dev! It honestly feels like we caught this one early. Wouldn’t be surprised if this ecosystem explodes in the next few weeks. Thanks for chatting with us Mario Zechner and Armin Ronacher! Hosted by Maximilian Jendrall and Mahir Isikli, the session went deep into how people are actually using pi.dev in practice: → the real leverage isn’t the model — it’s the harness → “barebones” is a feature: you build exactly what you need → most advanced setups today are just clever workflows + extensions → running multiple agents in parallel is already normal → a lot of commonly assumed problems (memory, infra, etc.) are still very open If you’re building with agents, this one’s worth your time. 🎥 Full recording on YouTube https://lnkd.in/dj2j9sDK

Impressive to see how much momentum cloud-native media workflows are gaining across the industry at #NABShow 🚀 At the AWS booth, we had the opportunity to showcase together with Amazon Web Services (AWS) and partners how modern production environments can benefit from scalable, AI-driven and highly integrated workflows — from ingest to production and distribution. What stood out most during the conversations at NAB was the growing demand for open, flexible and future-ready architectures that allow broadcasters and media companies to innovate faster while simplifying operations. Excited that we will continue the discussion tomorrow at the SRG SSR #PostNAB event, where we’ll present this use case together with AWS once again. Looking forward to meeting everyone there. https://lnkd.in/dGXNg8_r LOGIC media solutions GmbH TAMS | Time Addressable Media Store #AWS #NAB2026 #SRG #MediaTech #CloudProduction #Broadcast #AI #MediaWorkflows #MAM #LOGIC

Storyblok launched @FlowMotion at the end of March. Similar orchestration and agentic capabilities are landing across every major composable platform. The CMS market is moving toward autonomous content operations fast. The enterprises that will benefit most from that shift are the ones building operational foundations now. The architecture is done. The work that determines ROI has barely started. Learn how to close the gap between architecture and ROI. Read the full insight: https://lnkd.in/ej_uapss

Zombify now has a changelog 🧟 Because if you’re building a product that watches AI models for lifecycle risk, your own product updates probably shouldn’t disappear into the fog either. The new changelog tracks reliability upgrades, lifecycle monitoring improvements, dashboard changes and product hardening as Zombify grows. Tiny undead SaaS. Proper production bones. https://lnkd.in/gfFjvd62

For many developers, startup founders, and DevOps engineers, the journey into observability often starts with VMs. That is exactly why we built this SigNoz Collection Agents series to make OpenTelemetry easier to set up across real-world environments, from Kubernetes to VMs and beyond. We have now completed the series of walkthroughs showing how collection agents can simplify setup, reduce complexity, and help teams focus on scalability instead of wiring everything manually. If you have been following along, check out the full videos and try them in your own environment. It is always interesting to see how the data flows into the dashboard and how this foundation can help as your platform grows over time. Feedback, thoughts, and use cases are always welcome.

For every developer and engineer who experiments with us at SigNoz, the journey usually starts with VMs. And this is exactly where we’ve gone ahead and made things easier with the SigNoz VM Collection Agents for setup. Here, we’re diving into how this works end-to-end. In this video, we dive into VM-based setups and walk through a practical, end-to-end approach to configuring OpenTelemetry using SigNoz Collection Agents. As setups grow beyond containers into VMs and real infrastructure, managing telemetry becomes more complex. This video focuses on simplifying that process through a structured walkthrough. In this video, we cover: -understanding the project setup -configuring VM collection agents -setting up and running the collector -validating telemetry inside SigNoz The VM walkthrough is now live (link in comments) More environments coming next. Feedback and use cases are always welcome 👇