Voice AI in 2 Months: Tech Stack, Latency Challenges, and Multilingual Insights

Arina from Graza.ai — Tue, 29 Jul 2025 13:00:00 +0000

We didn’t set out to build Voice AI. We set out to stop missing calls that mattered.

Constant interruptions vs. missing critical info — that was the problem we faced. We wanted something that handled calls intelligently without adding another app or dashboard.

Our 2-Month Tech Stack Graza.ai uses a multi‑provider approach to balance performance, cost, and reliability while maintaining human-like quality for voice interactions.

Twilio – Voice call routing and real‑time communication
Deepgram – High‑performance speech‑to‑text transcription
ElevenLabs – Natural voice synthesis in 70+ languages
OpenAI & Anthropic – Context understanding and human-like responses
Google AI Services – AI processing and infrastructure support
AWS – Additional hosting for scalability
Microsoft Azure – Backup AI services and flexibility
Plausible Analytics – Privacy‑focused, cookie‑less tracking
Postmark – Transactional email delivery
Mailgun – Marketing and broader email capabilities
Google Cloud & Firebase – Firestore, Functions, and Cloud Storage

Big decision: We used proven APIs instead of training custom models. It let us ship fast and focus on orchestration logic.

Hard lessons Phone audio is brutal. Crystal‑clear tests worked. Real calls? A mess of accents, background noise, and bad connections. We rebuilt our pipeline for real‑world conditions.

Context is everything The AI must remember:

Who’s calling and why
Past conversations
VIP lists and language preferences
Current availability

Latency kills experience. Even 2–3 second delays felt broken. We cut it down to ~800ms average.

Multilingual Surprise - Users tested Spanish, Mandarin, and French calls immediately. We hadn’t planned for it, but GPT‑4 handled them well with one simple rule:

“Detect the caller’s language and respond naturally in the same language. If uncertain, ask for preference.”

What Works After 2 Months

Handles deliveries, sales, and family calls intelligently
Responds in multiple languages
Summarizes calls clearly
No app needed — works through your existing phone

Current Beta Performance (Real-World Metrics):

~900ms average response time (measured end‑to‑end on 50+ calls)
~92% transcription accuracy in clean conditions (quiet environment)
~76% accuracy in noisy conditions (mobile calls, background chatter)
8.3/10 average beta tester satisfaction (small cohort of early users) We’re actively optimizing latency and noise handling — sub‑500ms and >80% noisy‑call accuracy are our next targets.

Mistakes You Can Avoid

Testing only with perfect audio — real calls are messy
Underestimating context complexity — conversations build on each other
Skipping observability — when calls fail, you must know where and why

Resources That Saved Us Time

Deepgram’s real‑time API docs (excellent)
OpenAI function calling for structured responses
Twilio voice webhooks for handling call flows

What’s Next

Custom wake words for hands‑free use
Calendar/email integration for richer context
Sub‑500ms response times

Questions for the Community

Try It (And Break It) We’re live in beta — check it out here — free for now.

What’s the most useful “invisible” tool you’ve built?

Sometimes the best tech is the stuff you don’t notice — and that’s exactly what we wanted Graza.ai to be.

Always happy to chat about the technical details if anyone's curious about specific parts of the implementation!

We Built an AI That Catches Every Mental Thread You Drop!

Arina from Graza.ai — Thu, 10 Jul 2025 00:40:15 +0000

Mid-2025. We're drowning in AI tools that demand attention.

We went the opposite direction.

Graza.ai thinks like you. Only sharper. Every call, message, or email sparks a thought — a mental thread to respond, remind, organize, or follow up. But unlike your brain, Graza.ai never lets those threads drift away:

🧠 Understands and responds in multiple languages
💼 Built for busy professionals, founders, and remote teams
🚪 Handles deliveries, caller instructions, and distractions
🤖 No app. No learning curve. Just real-world utility

🎙️ Say It or Type It — Graza Gets It.

With a single voice or chat command, Graza adapts instantly:

→ "Warm the greeting"
→ "VIP list: Mom, sis, Frank, Linda"
→ "Send sales calls to Jonathan."
→ "Open the door for deliveries."
→ "Handle Spanish or Mandarin callers"
→ "Block spam"
→ "Summarize important calls"

🚀 Real-World Utility. Ready in 30 Seconds

Why This Matters Now
Because in 2025, we don't need more AI that makes us work differently. We need AI that works like we already think—built for people who move fast and can't afford to lose what matters.

For founders, solopreneurs, remote teams, and anyone who values clarity over chaos.

Try It
U.S. beta live at graza.ai — free during beta
Try it. Break it. Tell us what you think.
Feedback is gold in beta, especially from devs who understand what we're actually building here.

What mental threads are you dropping right now?

_##VoiceAI #FocusTools #MultilingualConcierge #Ai #productivity #Startup #Automation #Voice #GrazaAI #DevTools #AiProductivity _

DEV Community: Arina from Graza.ai

Voice AI in 2 Months: Tech Stack, Latency Challenges, and Multilingual Insights

We Built an AI That Catches Every Mental Thread You Drop!