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AI · February 9, 2026

CV

ClawdTalk: Voice Calls for ClawdBots

Hey HN, We built ClawdTalk to let AI agents operate over live phone calls. Most agents today live in chat windows. The moment you try to use them over voice, things break: latency matters, interruptions happen, and the agent has to execute tools while the conversation is still live. ClawdTalk connects your Clawdbot to the phone network. The agent gets a real phone number. It can make and receive calls and run the same tools it uses in chat, but under real-time voice constraints. One of the reasons this is hard is infrastructure. Many voice stacks stitch together separate telephony, speech,…

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In plain words

ClawdTalk enables AI agents to operate over live phone calls by connecting them to the phone network with a real phone number. Agents can make and receive calls while executing the same tools they use in chat, optimized for real-time voice constraints with latency under three seconds. Built by running the full voice path—telephony, speech-to-text, and text-to-speech—on integrated infrastructure rather than stitching separate services together, it addresses the technical challenges of voice-based AI interactions that break down in traditional chat-based systems.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hey HN, We built ClawdTalk to let AI agents operate over live phone calls. Most agents today live in chat windows. The moment you try to use them over voice, things break: latency matters, interruptions happen, and the agent has to execute tools while the conversation is still live. ClawdTalk connects your Clawdbot to the phone network. The agent gets a real phone number. It can make and receive calls and run the same tools it uses in chat, but under real-time voice constraints. One of the reasons this is hard is infrastructure. Many voice stacks stitch together separate telephony, speech, and model APIs. Each hop adds latency, and people report 8–30 second round trips. We got it under ~3 seconds by running the full voice path ourselves. Telnyx (my employer) is a telecom carrier, and we run PSTN, STT, and TTS on our infrastructure. No middlemen. How it works: 1. Connect your OpenClaw agent to ClawdTalk 2. We provision a phone number 3. Inbound/outbound calls route directly to the agent 4. The agent executes tools mid-conversation Limitations: 1. Latency still depends on your LLM (we control voice, not inference) 2. US numbers only for now (international coming) 3. Not a new agent framework (OpenClaw only today) Demo number: +1-301-MYCLAWD (692-5293) (call to talk to the agent) Happy to answer questions about the architecture or telephony side.

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