By Justin Downes, SEO Engineer

AI is changing how quickly teams can move from idea to “working software”. Drafts, prototypes, refactors—even whole feature branches—can be produced faster than ever. In many product categories, that velocity translates directly into competitive advantage.

But in real-time web calling, speed does not equal reliability.

This week, I spoke with Conrad De Wet, CEO of Siperb.com, about why browser-based voice still breaks in ways that AI can’t simply code away. De Wet oversees product direction and delivery with a focus on making browser calling behave consistently in real-world environments—where networks, devices, and security policies are rarely predictable. “AI makes it cheaper to produce code,” he said. “But browser calling isn’t won by code volume. It’s won by what happens when calls hit the real world—unreliable networks, NAT and firewall behaviour, media negotiation edge cases, and what you do when something breaks at scale.”

AI gets you to “working” faster — the real world decides the outcome

In controlled tests, real-time calling can look deceptively stable: clean Wi-Fi, predictable routing, friendly firewall policies, known devices. Production reality is different. Calls must survive unpredictable networks, changing conditions, and end-user environments you don’t control.

That’s why “it works on my machine” is a weak benchmark in communications. A browser call depends on a chain of external variables: device permissions, headset quirks, browser media behaviour, and corporate security constraints. Even basic connectivity is shaped by NAT traversal, where STUN and TURN infrastructure often determines whether sessions establish and stay established when direct paths fail.

Where humans still matter most: operations, diagnostics, recovery

AI can help generate code, summarise logs, and accelerate iteration. What it doesn’t remove is the operational burden of making calling dependable: instrumenting the right metrics, diagnosing failures without guesswork, and designing fallbacks that keep users moving rather than hitting dead ends.

In practice, the difference between a demo and a service comes down to visibility and recovery. When a call fails, you need to know whether it was signalling, media negotiation, routing, or an environment constraint—and you need a plan to handle it. As De Wet put it: “A lot of systems work until they’re asked to work reliably. In communications, reliability isn’t an enhancement—it’s the baseline.”

The 2026 shift: buyers want proof, not promises

As AI-driven velocity floods the market with “working implementations”, expectations are rising. Buyers are asking less about feature lists and more about evidence: connection rates, time-to-connect, behaviour under packet loss, and the ability to explain failures clearly.

AI will keep making shipping faster. The more meaningful advantage will belong to teams that can operate real-time experiences with discipline—treating reliability as the product, not the afterthought.

About Siperb
Siperb provides browser-based WebRTC calling and SIP interoperability for businesses that need reliable voice in real network conditions. More information: https://siperb.com/