Build a Natural Language IVR with Telnyx Call Control and AI Inference
Nobody likes phone trees. "Press 1 for billing, press 2 for support." Miss an option? Start over. It is friction at its worst. The voice-ivr-with-ag…
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Nobody likes phone trees. "Press 1 for billing, press 2 for support." Miss an option? Start over. It is friction at its worst. The voice-ivr-with-ag…
Most package tracking flows make the customer do the work. You get a tracking number. You open a page. You refresh it. Maybe you get a generic text…
Getting an AI agent to answer a phone call is only the beginning. The harder part is keeping the call going. This example builds a voice agent on Te…
A lot of AI support demos stop after one reply. Customer asks a question. Model answers. Demo done. Real support usually needs a little more than th…
Language learning apps work fine on a screen, but the hardest part is the thing screens avoid: actually speaking out loud and getting immediate feed…
Localizing a podcast, translating a recorded meeting, or dubbing a lecture used to require three different services stitched together. The Telnyx AI…
Cancel-save flows are easy to over-engineer into manipulative dark patterns, and easy to under-engineer into "your subscription has been cancelled,…
Most "add an AI assistant to my app" tutorials stop at the demo. They show you how to call an LLM and print the response, then leave the production…