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lets try, When I tested voice agents before, that delay between speaking and response always felt awkward. If dTelecom really cuts those steps down, that’s noticeable. Fewer hops usually means fewer headaches too. Curious how it behaves under heavy traffic though

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insane, dTelecom , building a real-time voice AI prototype is super fast no complex media setup needed. Just plug in, loop STT → LLM → TTS, and you’re live in minutes.

We’re now featured in the Coinbase Developer Platform🛡️ AgentKit ecosystem. dTelecom is listed among the providers supporting the next generation of AI agents with onchain capabilities. To show what that looks like in practice, we built a Voice Agent example using: - Coinbase AgentKit - a

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incredible dTelecom landing in the Coinbase Developer Platform🛡️ AgentKit ecosystem. AI agents with onchain capabilities? This is how you build real utility. Knew they were cooking up quality. This is the way. #dTelecom #AI #Web3

AI agents can pay per use for real-time communication - voice calls, video meetings, and Voice AI (STT, TTS). No accounts. No API keys. Powered by Machine Payments Protocol (Machine Payments Protocol). dTelecom live on Tempo

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Pay-per-use for real-time AI communication is a game changer 🔥No accounts, no API keys — just pure seamless access. dTelecom x Tempo making things much simpler

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Zero-hallucination voice for real-time agents lets try dTelecom

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Yet, they still do not tell you whether a live agent feels human. A voice system can transcribe every word correctly and still sound awkward on a call. Users notice timing, turn-taking, silence handling, interruption recovery, and whether the reply lands naturally. dTelecom

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