Inconsistent audio environments
Layered voice activity detection, noise handling and explicit fallback states.
HelloSenseAI
A production AI communication platform combining voice workflows, automation, call intelligence and scalable backend infrastructure.
- Role
- Product engineering, architecture and delivery
- Selected result
- 1M+ customer interactions per month
- Technologies
- Next.js / VAPI / Twilio / FastAPI / Supabase
01
Voice products fail when latency, audio quality and operational visibility are treated as secondary concerns. HelloSenseAI needed those concerns designed into the product from the beginning.
Constraints
- Real-time call orchestration across multiple services
- Variable network and audio conditions
- Reliable subscription and usage accounting
- Actionable monitoring for operators
- Full-stack product architecture
- Voice workflow and provider integration
- Billing and entitlement logic
- Operational interface design
- Production deployment and observability
Structure the platform around observable call states, explicit service boundaries and recoverable workflows so product teams can improve the experience without destabilising the core.
04 / Architecture
A product system designed as connected layers.
- 01Web experience
- 02Call orchestration
- 03Voice providers
- 04Application services
- 05Billing
- 06Data and monitoring
- 01
Separate call-state orchestration from provider-specific adapters.
- 02
Treat quality and latency signals as product data, not only infrastructure logs.
- 03
Design billing around durable usage events and replay-safe processing.
Complex multi-service failure modes
Idempotent events, observable state transitions and recoverable background jobs.
1M+ customer interactions per month
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