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AI Assistant FREEMIUM from $250/mo

Layercode

A developer building a telehealth app needs voice agents that respond instantly during patient consultations

She's prototyped with standard APIs, but managing WebSockets, voice activity detection, and latency optimization eats up weeks. Her React app needs real-time audio streaming without drowning in infrastructure code.…

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A developer building a telehealth app needs voice agents that respond instantly during patient consultations. She's prototyped with standard APIs, but managing WebSockets, voice activity detection, and latency optimization eats up weeks. Her React app needs real-time audio streaming without drowning in infrastructure code.

Layercode handles the voice infrastructure layer so developers control conversation logic through webhooks. This system processes audio streaming at the nearest edge location using Cloudflare infrastructure, runs speech-to-text in real-time, and synthesizes responses back to users. Developers write conversation handling code while Layercode manages WebSocket connections, voice activity detection, and model coordination.

The Node.js SDK integrates with Next.js projects in under 50 lines of code. A customer service startup built their voice agent by connecting the SDK to their existing Vercel AI SDK setup, letting them switch between Deepgram and other speech providers without rewriting infrastructure. The webhook architecture means conversation logic lives in familiar TypeScript functions rather than custom streaming protocols.

Per-second billing charges only for active speech. Silence costs nothing. Platform fees run four cents per minute for web and mobile applications, with speech-to-text from Deepgram Nova at 0.92 cents per minute and text-to-speech options ranging from half a cent per minute for Inworld to 2.4 cents for ElevenLabs. Session recordings capture every interaction for debugging and compliance.

An e-learning company building pronunciation tutoring agents can hot-swap voice models during development without infrastructure changes. They tested Cartesia Sonic Turbo against Rime Mist while keeping the same conversation code. The observability tooling showed exactly where latency spikes occurred during peak usage hours.

The system breaks down for teams needing more than 10 concurrent voice sessions without paying. The Developer plan caps at 10 sessions with seven-day data retention and community support only. A call center prototype handling 30 simultaneous calls hits this wall immediately.

Custom voice cloning demands the Pro plan at 250 dollars monthly, which provides 50 concurrent sessions, 30-day retention, priority support, webhook signatures, and team collaboration. A meditation app cloning their instructor's voice needs this tier just for the cloning feature. Enterprise plans add unlimited sessions, HIPAA compliance, SLA guarantees, and on-premise deployment for healthcare and financial services with strict data requirements.

The startup program offers 2,000 dollars in free credits specifically for voice AI companies. Standard Developer accounts get 100 dollars to start. A voice assistant startup testing market fit burns through free credits during user research before committing to paid infrastructure.

Developers wanting visual conversation builders won't find them here. This isn't a no-code platform. It requires writing webhook handlers and understanding audio streaming concepts. A marketing team wanting to launch voice agents without engineering support needs different tools entirely.

This service works best for TypeScript developers building production voice applications who want infrastructure handled but conversation logic controlled. Integration with LangChain, OpenAI, Anthropic, and Ollama means existing AI chains connect directly. A real estate chatbot team added voice to their text agent by routing audio through Layercode while keeping their conversation engine unchanged.

Skip this if you're building simple voice demos, need visual workflow editors, or want all-in-one voice platforms. The webhook model demands comfort with async processing and API integration patterns.

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Frequently asked

7 questions
Does Layercode have a free plan?
The Developer plan gives 100 dollars in free credits with 10 concurrent sessions, access to all voice providers, session recordings, and seven-day data retention. Voice AI startups can apply for 2,000 dollars in free credits through the dedicated startup program. Once free credits run out, billing switches to per-second usage at four cents per minute for platform fees plus provider costs like 0.92 cents per minute for Deepgram speech-to-text. A solo developer prototyping a voice assistant for apartment hunting can test with multiple providers and record sessions without paying upfront, but a team running beta tests with 50 users talking simultaneously needs the 250 dollar monthly Pro plan immediately.
Can I use Layercode without knowing how to code?
A marketing manager wanting to build voice agents for customer outreach can't use this platform. Layercode requires writing webhook handlers in Node.js or TypeScript to control conversation logic, integrating the SDK into Next.js or React projects, and understanding how audio streaming connects to AI models. The system handles WebSocket management and voice activity detection, but developers still write the code that decides what the agent says and how it responds. A content creator wanting drag-and-drop voice builders needs Vapi or similar no-code platforms instead.
What's the difference between Layercode and OpenAI Realtime API?
An AI developer building a therapy chatbot with OpenAI Realtime API gets locked into OpenAI's models and can't switch speech providers mid-conversation. Layercode lets that same developer hot-swap between Deepgram, Cartesia, ElevenLabs, or Rime for speech processing while using any LLM through Vercel AI SDK, LangChain, or direct API calls. The webhook architecture means conversation logic lives in familiar TypeScript functions rather than managing streaming protocols directly. A pronunciation app testing four different text-to-speech providers can compare quality and latency without rewriting infrastructure, then deploy the winner to production with zero code changes.
How much does Layercode actually cost per conversation?
A customer service agent handling a five-minute call pays 20 cents in platform fees, about 4.6 cents for Deepgram Nova speech-to-text, and between 2.5 cents for Inworld text-to-speech or 12 cents for ElevenLabs, totaling roughly 27 to 37 cents per call depending on voice quality chosen. Silence costs nothing since billing runs per-second only during active speech. A telehealth company processing 1,000 ten-minute consultations monthly with mid-range Cartesia voices spends around 425 dollars in usage fees, making the 250 dollar Pro plan worthwhile once concurrent sessions exceed 10. Usage costs scale independently from plan fees, so a low-volume enterprise with strict compliance needs pays custom Enterprise pricing plus minimal per-minute charges.
Can Layercode handle phone calls or just web apps?
A real estate agent building a voice assistant for appointment booking through their React Native mobile app can stream audio through Layercode at four cents per minute platform fees. The infrastructure works for web browsers and mobile applications using the Node.js SDK with WebSocket connections to edge servers. A call center routing traditional phone calls through Twilio or similar telephony providers would need to bridge phone audio into Layercode's streaming infrastructure, which requires additional integration work. The system excels at web and mobile voice interfaces but wasn't built specifically for PSTN phone networks like dedicated telephony platforms handle.
What happens when I hit the 10 concurrent session limit?
A language tutoring app testing with 15 students simultaneously finds that the 11th user gets rejected once the Developer plan's 10-session cap fills up. The system doesn't queue overflow sessions or throttle quality. Upgrading to Pro at 250 dollars monthly raises the limit to 50 concurrent sessions with 30-day data retention and priority support instead of community forums. A virtual receptionist startup launching their MVP needs to accurately forecast peak concurrent users, because hitting session limits means turning away real customers during busy periods until someone's conversation ends.
Does Layercode work with my existing AI agent code?
A developer who built a travel planning agent using LangChain and Anthropic Claude can add voice by routing audio through Layercode while keeping conversation logic unchanged. The webhook architecture receives transcribed speech as text, passes it to existing AI chains through integrations like Vercel AI SDK or direct API calls, then sends generated responses back for text-to-speech synthesis. A customer support team using OpenAI function calling for order lookups connects their current TypeScript handlers to Layercode's audio streaming without rewriting business logic. The separation between infrastructure and conversation means existing AI code drops in with minimal refactoring beyond handling webhook payloads.

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