PUBLIC ENGINEERING ARCHIVE

Technical Architecture, Field Playbooks & Voice Engineering Guides

No superficial marketing fluff. This is DestiX AI's open technical vault—detailed latency deconstructions, domestic Indian telephony setups, transparent unit economics, and production-tested automation workflows.

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Architecture Pillar9 min deep-dive

5-Stage Voice Latency Deconstruction (Under 500ms)

Why single-token LLM latency is deceptive marketing. The full audio-to-audio pipeline: Silero VAD (80ms) + Deepgram Nova-3 (120ms) + Fast LLM (120ms) + Cartesia Sonic (90ms) + Domestic SIP (25ms).

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Cost Benchmark8 min analysis

The True Cost of AI Voice Agents in India (TCO Breakdown)

Complete mathematical breakdown of marginal per-minute costs (₹3.40 to ₹5.90/min) across STT, LLM tokens, neural TTS, and TRAI-compliant Indian SIP trunks. Zero hidden platform markups.

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Telephony Stack7 min guide

Indian Phone Numbers & SIP Trunking for Voice AI

How to provision real +91 Indian virtual DIDs, configure TLS/SRTP encrypted SIP trunks, ensure TRAI compliance, and prevent telecom carriers from throttling automated calls.

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Speech Synthesis6 min tutorial

Dual-Stream Hinglish Code-Switching Architecture

Engineering conversational agents that seamlessly switch between formal Hindi and English mid-sentence without losing intent, context, or conversational momentum.

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CRM Automation5 min implementation

Meta WhatsApp Cloud API & CRM Instant Handoff

Connecting LiveKit audio sessions directly to Meta's WhatsApp Cloud API and n8n webhooks. Delivering verified PDF brochures and booking calendar links within 5 seconds of hangup.

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Market Matrix12 min benchmark

Best AI Voice Agents in New Delhi NCR (2026 Competitive Audit)

Head-to-head comparison between DestiX AI, RapidX AI, AI Sapiens, and Decibel Labs. Latency benchmarks, custom code ownership vs SaaS vendor lock-in, and ROI audits.

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PROGRAMMATIC CONTEXT PROTOCOL

Built for Developers, Engineers, and AI Agents

Query MCP Endpoint

All DestiX AI architecture benchmarks, latency telemetries, and practice parameters are exposed via our public Model Context Protocol endpoint at /api/mcp and plain-text /llms.txt for instant grounding by ChatGPT, Claude, and Perplexity.

100% Code Ownership
435ms Measured Round-Trip
TRAI Compliant SIP Trunks
Need Implementation Assistance?

Let Us Architect Your Voice Pipeline

Skip months of trial and error with telephony providers, STT hallucinations, and prompt tuning. Book a diagnostic session with principal architect Ayush Meena.