Telecallers.ai
Built the telephony and orchestration layer for AI voice agents.
Context
Outbound sales teams burn out on low-connect rates. Humans shouldn't be dialing numbers; they should be closing deals.
- Voice latency must be sub-second
- Handling interruptions naturally
- Regulatory compliance (Do Not Call)
The Core Problem
LLMs are slow. Telephony is fast. The gap between them creates awkward 'robot pauses' that kill conversion.
System Architecture
Voice Stream Orchestrator
Websocket manager handling audio buffers between Twilio and OpenAI.
Interrupt Handler
Logic layer that stops audio generation instantly when user speaks.
Campaign Manager
UI for uploading leads and scheduling dial windows.
System Logic Flow
System dials lead → Detects 'Hello'.
Agent speaks opening hook.
User interrupts → Audio clears → Agent listens.
Outcome (Booked/Interested) written to CRM.
Before
- × Humans dialing for 8 hours
- × Inconsistent script adherence
- × Limited working hours
- × High churn rate
After
- ✓ Agents dialing 24/7
- ✓ Perfect script compliance
- ✓ Instant spin-up/down
- ✓ Humans focus on closing
Learnings
"Latency is the #1 UX killer in voice."
"Voice agents need 'personality' prompts to sound natural."
"Handling voicemail detection is critical for cost."