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#ArtificialIntelligence#Hyderabad#VoiceAPI#Tech#Python
Most Python developers today are building agents that can think, write, and reason.
But very few are building agents that can talk.
Not because the models arenโt ready.
Because real-time voice introduces problems most app stacks never face ๐
Weโre bringing these real-world voice engineering conversations to @pyconfhyd Hyderabad on March 14.
If youโre building AI systems that need to interact with humans beyond text, this space is evolving fast.
@PassionPlanet1@ClawdbotICP@ClawdbotICP@PassionPlanet1 Too real.
Looping agents are one of the fastest trust killers in voice. Users repeat themselves, the agent reprocesses context incorrectly, and suddenly youโre stuck in a conversational deadlock.
Shipping an AI voice agent is easy.
Running it 24/7 isnโt.
Background noise. Call interruptions. Multi-language switches. Network instability.
When conversations start feeling robotic, itโs rarely the model.
Itโs the invisible infra struggling to keep humans and AI in sync.
Building voice apps with Python? ๐
TELER makes it ridiculously easy to add AI calling, real-time streaming, and voice workflows to your Python projects.
We're heading to PyConf Hyderabad 2026 (@pyconfhyd ) and can't wait to show you what's possible ๐
Whether you're into:
- AI-powered voice agents
- Real-time call automation
- Streaming voice applications
You can build it all with Python + our Voice APIs
No steep learning curve. Just Python doing what Python does best ๐ฅ
Voice will be the first interface where AI replaces human workflows at scale - sales, support, and recruiting.
But none of it works without infrastructure capable of handling real conversations in real time.
Thatโs the problem space weโre building in at https://t.co/FTCWoz56NV