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Does AI always have to run in the cloud?Not anymore.Join this Fullstack Live Event to learn how Sovereign AI Agents help...
14/08/2026

Does AI always have to run in the cloud?

Not anymore.

Join this Fullstack Live Event to learn how Sovereign AI Agents help you build secure, local, and cost-efficient AI workflows.

📅 Live on August 17, 2026

👉 https://devm.io/live-events/sovereign-ai-agents/

11/08/2026

The next AI race won't be about building more agents. 🤖
It will be about governing them.

In this episode of Signals hosted by Michael Dowden – powered by API Conference, Matthias Biehl explores what the next phase of enterprise AI will look like:

• Success won't be measured by the number of AI agents an organization deploys
• It will depend on how well those agents are governed at scale
• Companies are still figuring out who should own AI governance and define the necessary guardrails
• Different organizations are taking different approaches but one thing is becoming clear: governance is no longer optional

The question isn't:
"How many AI agents can we build?"
It's:
"How many AI agents can we trust?"

🎧 Listen to the full episode here:
▶️ YouTube: https://youtu.be/Yw1goeH1dkw
🎧 Spotify: https://open.spotify.com/episode/1zGSImC4jiflPdLIEDKfLP
🍎 Apple Podcasts: https://podcasts.apple.com/de/podcast/the-agentic-enterprise-bridging-the-gap-between/id1879774359?i=1000780030247

10/08/2026

How can trust in AI agents be managed or constrained?

In this episode of Signals – powered by API Conference , Mathias Biehl & Michael Dowden explains why trust in AI agents doesn't happen by accident it has to be designed.

• AI agents need clear guardrails, not unlimited freedom
• Access to data and systems should be granted intentionally, not by default
• Agents should only collaborate with the agents they're explicitly allowed to work with
• These rules aren't bureaucracy they're governance. And governance is what builds trust.

The question isn't whether your AI agents are capable.
It's whether they're operating within boundaries your organization can trust.

🎧 Listen to the full episode here:
▶️ YouTube: https://youtu.be/Yw1goeH1dkw
🎧 Spotify: https://open.spotify.com/episode/1zGSImC4jiflPdLIEDKfLP
🍎 Apple Podcasts: https://podcasts.apple.com/de/podcast/the-agentic-enterprise-bridging-the-gap-between/id1879774359?i=1000780030247

06/08/2026

What does an "Agentic Enterprise" actually look like? 🤖
It's not a company run by AI. It's a company where AI agents work alongside people in every department.

In this episode of Signals – powered by API Conference, Matthias Biehl explores what it takes to build an agentic enterprise:

• AI agents support employees across different roles and business functions
• Every organization needs AI agents tailored to its own processes and workflows
• Generic AI isn't enough enterprise AI needs access to company-specific data and functionality
• The real challenge isn't building an AI agent. It's integrating it into the business.

The future isn't about replacing people with AI.
It's about building organizations where people and AI work together.

🎧 Listen to the full episode here:
▶️ YouTube: https://youtu.be/Yw1goeH1dkw
🎧 Spotify: https://open.spotify.com/episode/1zGSImC4jiflPdLIEDKfLP
🍎 Apple Podcasts: https://podcasts.apple.com/de/podcast/the-agentic-enterprise-bridging-the-gap-between/id1879774359?i=1000780030247

27/07/2026

Would you build a company around a bet on AI? 🎲
Some already have.

In this episode of Signals – powered by MLcon, Pieter Buteneers and Martin Stypinski discuss the realities of building AI products in a rapidly changing market.

• Some AI solutions are intentionally priced below cost to prove they solve a real problem
• The long-term bet is that LLMs will continue to improve while becoming more affordable
• As models evolve, teams can move parts of their workloads to smaller, lower-cost models
• The real optimization often starts after finding product-market fit not before

Building with AI isn't just a technical challenge.
It's also a strategic bet on where the technology is heading.

🎧 Listen to the full episode here:
▶️ YouTube: https://youtu.be/UXvc8-Ni3rw
🎧 Spotify: https://open.spotify.com/episode/2WDpjYRM8OE6feh7Ls6eka
🍎 Apple Podcasts: https://podcasts.apple.com/de/podcast/balancing-llms-computer-vision-and-engineering-trade-offs/id1879774359?i=1000777859680

24/07/2026

AI can help you build faster.
It can also help you build the wrong thing faster. 🤖

In this episode of Signals – powered by MLcon, Pieter Buteneers and Martin Stypinski discuss why speed isn't the same as quality.

• AI can accelerate development but it doesn't guarantee better outcomes
• Accessibility still requires thoughtful human decisions
• Writing meaningful alt text for images remains a challenge AI hasn't fully solved
• The real opportunity isn't replacing accessibility work it's helping developers do it better

Faster development only matters if you're building the right product.
And that means making it accessible to everyone.

🎧 Listen or watch the full episode here:
▶️ YouTube: https://youtu.be/UXvc8-Ni3rw
🎧 Spotify: https://open.spotify.com/episode/0HNxD3nY6a2cPM5p2K5b4I
🍎 Apple Podcasts: https://podcasts.apple.com/de/podcast/making-accessibility-the-new-standard-in-an-ai-driven-world/id1879774359?i=1000769804768

23/07/2026

Are you "vibe checking" your AI? 🤔
It might sound like a joke. But it could be one of the missing pieces in building production-ready AI.

In this episode of Signals – powered by MLcon, Pieter Buteneers and Martin Stypinski discuss why traditional AI evaluation is no longer enough.

• Machine learning has long been driven by metrics like accuracy and precision
• But LLMs also need to be evaluated for how they behave in real-world interactions
• Teams often don't "vibe check" their applications often enough
• Closing the gap between benchmark performance and real user experience is one of the biggest challenges in bringing LLMs to production

A model can score 97% on a benchmark.....and still deliver a poor user experience.

Production-ready AI isn't just about better metrics. It's about building systems that actually work for people.

🎧 Listen to the full episode here:
🎧 Spotify: https://open.spotify.com/episode/2WDpjYRM8OE6feh7Ls6eka
🍎 Apple Podcasts: https://podcasts.apple.com/de/podcast/balancing-llms-computer-vision-and-engineering-trade-offs/id1879774359?i=1000777859680

22/07/2026

Is AI really the problem... or is it the prompt? 🤖
When AI delivers poor results, it's easy to assume the technology isn't ready. But often, the real issue is how we ask the question.

In this episode of Signals – powered by MLcon, Pieter Buteneers and Martin Stypinski discuss why so many AI projects fall short:

• Vague prompts lead to vague answers
• Asking multiple questions at once often confuses the model
• Context is the difference between a useful response and a disappointing one
• While AI already excels at tasks like drafting, more complex work such as identifying risks in contracts still requires careful human review

Trust in AI doesn't start with a better model. It starts with asking better questions.

🎧 Listen to the full episode here:
🎧 Spotify: https://open.spotify.com/episode/2WDpjYRM8OE6feh7Ls6eka
🍎 Apple Podcasts: https://podcasts.apple.com/de/podcast/balancing-llms-computer-vision-and-engineering-trade-offs/id1879774359?i=1000777859680

11/07/2026

Is everyone moving back from the cloud? ☁️
Not quite. But the conversation has definitely changed.

In this episode of Signals – powered by DevOpsCon, Abdel Sghiouar and Michael Dowden discuss why more companies are re-evaluating their cloud strategy.

• Why organizations like 37signals are bringing some workloads back on-premises
• Why "cloud-first" doesn't automatically mean "cloud-always"
• How infrastructure decisions should be driven by business goals—not industry trends
• And why the smartest strategy is often the most pragmatic one

The debate isn't about choosing cloud or on-premises.
It's about understanding which approach creates the most value for your business.

🎧 Listen or watch the full episode here:

▶️ YouTube: https://f.mtr.cool/onniwzvztr
🎧 Spotify: https://f.mtr.cool/xxysdgeqwl
🍎 Apple Podcasts: https://f.mtr.cool/mwytwatmak

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