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5 Pitfalls On The Road To Voice AI Most teams building voicebots have no idea until they’re neck deep. It’s not an AI problem. It’s a telephony problem. A cascading series of complexities and gotchas deep in the low-levels of internet telephony and WebRTC. 1. The "It Seems Simple" Trap: ? LLMs, Text-To-Speech,Speech-to-Text, and legacy telecom APIs are everywhere!. ? Let’s stitch them together and build a voice AI product!” ? Uh oh!. We’ve got 1-3 seconds of latency here. And our agents go off script on longer calls! 2. The Proof -of -Concept Wall. ? “The demo looks great! Let's ship this and go get some customers." ? In production, latency spikes (again). WebSockets drop and hangs up on callers. ? That awesome demo turns into a DevOps nightmare. 3. The Multi-Channel Labyrinth: ? You built (or bought) a chatbot that resolves routine requests. It works! ? Now customers are asking about voicebots. ? You're 6 months into building that. ? Your most important customer asks about your roadmap for videobots. 4. The Tool Use Conundrum ? Your voicebot can automate routine Q&A by connecting to your knowledge base! ? Let’s connect CRMs, CDPs, support ticketing systems, and payment gateways! ? Wait, we have to scale webhook servers? Deal with WebSockets? ? Does this latency nightmare ever end? 5. The Compliance Riddle ? “Is your voicebot HIPPA Compliant?” ? “What about PCI?” ? “How do you ensure our callers’ sensitive data isn’t exposed to OpenAI or Google?” Every minute your team spends climbing out of these pitfalls is a minute you weren’t building more advanced voicebots. Don’t be that team.

This is not fake or exaggerated or a product competing with you. It's a taste of what YOU can build and turn into your own products and services. You could spend 2 more years rubbing sticks together or you could just have something like this in a week as a part of your offering. Visit https://signalwire.ai Also, check out our booth at Enterprise Connect Watch the demo. Real-Time AI + Video Calls with the SignalWire Call Fabric SDK What happens when AI meets real-time video and live transcription, all powered by code? Watch as Brian makes a web call using the SignalWire Call Fabric SDK, connecting to Matti, an AI assistant with live video. When Brian asks a technical question, Matti seamlessly transfers the call to Sigmond, an AI bot who takes over with zero interruptions and no latency issues. ?? What’s under the hood? - Web calls and AI-powered video conferencing using the Call Fabric SDK - AI Agents handling real-time conversations with no extra API complexity - Live AI-to-AI call transfers so one bot does not need to do it all - Sub-500ms average latency so real-time feels real - AI vision capabilities so Sigmond can see and describe what is happening - Live transcription via the Call Fabric SDK so speech turns into text in real-time - Full developer control so you can programmatically switch AI contexts, transfer calls, and more This is not a canned demo or pre-recorded script. It is a fully live, code-driven experience powered by SignalWire’s programmable AI and telecom stack. Unlike traditional platforms with one to three seconds of latency, SignalWire keeps it fast, low-bandwidth, and developer-friendly. Why does this matter for developers? No more stitching together multiple APIs to get AI, video, and real-time transcription working together Everything runs on one unified SDK so you can handle calls, AI Agents, and low-latency media processing with simple APIs Programmable AI and telecom means you build exactly what you need whether it is a smart contact center, an AI-powered sales assistant, or a developer-first communications platform Start building with AI-powered video calls today. Check out SignalWire and create the next wave of programmable communications. Visit https://signalwire.ai #Developers #AI #VideoCalls #SignalWire #WebRTC #CallFabricSDK #ProgrammableComms #RealTimeAI #LowLatency #ConversationalAI #LiveTranscription #APIs

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