Monitoring & Observability for Voice AI
Build comprehensive observability for your voice applications - from real-time dashboards to conversation analytics and proactive alerting.
Deploying Voice AI to Production: The Complete Checklist
Everything you need to verify before going live - from infrastructure to monitoring, security to scaling.
Debugging Voice AI: A Complete Guide
From 'it's not working' to 'I know exactly why' - master the art of debugging voice applications with systematic approaches and powerful tools.
Integration Testing with Mock Voices
Build reliable integration tests for voice AI without real audio - using mock STT/TTS services and deterministic conversation flows.
How We Trained 11 Models to Replace LLM Tool Selection
Why we built FTIS V2: 11 finetuned ONNX models that achieve 93% accuracy in 20ms, eliminating our dependency on flaky LLM function calling.
Half-Cascade: The Sweet Spot for Voice AI Architecture
Why we chose half-cascade over full cascade and native S2S - the latency, cost, and quality tradeoffs that shaped our voice AI stack.
The Movie Production Paradigm: Why Building Voice AI is Like Making a Film
A mental model for conversational AI architecture - stages, actors, scripts, directors, props, and post-production. Plus: why tools should surround actors, not be learned by them.
The Realtime API Tool Calling Wars (And Why We Built Around Them)
Our journey through OpenAI Realtime and Gemini Live API tool calling - the bugs, the workarounds, and why we eventually stopped relying on native function calling entirely.
Unit Testing Voice Agents: A Practical Guide
How to write effective unit tests for your voice AI integrations - from mocking audio streams to testing conversation flows.
Week 2 Changelog: Design System Overhaul, Graph RAG, and React Components
A major release featuring 8 new design token files, complete memory system refactor with Spanner Graph, and the first React component library stories.
Week 3: Testing, Deployment, and Going to Production
Next week we cover everything you need to ship your voice AI to real users - testing strategies, deployment patterns, and production monitoring.
Voice AI vs Chatbots: A Developer's Perspective
When to use voice, when to use text, and why the future isn't either/or - it's knowing when each shines.
Error Handling Patterns for Voice AI
Beyond try/catch - building resilient voice applications that recover gracefully and keep users informed.
Community Spotlight: Building Voice AI for Mental Health Support
How Sarah Chen built a voice-first therapy companion that's helping thousands of users practice mindfulness.
Performance Optimization: Achieving Sub-200ms Response Times
How Ferni delivers real-time voice AI - and how you can optimize your integration for the best user experience.
Authentication Deep Dive: OAuth, API Keys, and JWTs
A comprehensive guide to securing your Ferni integration - from simple API keys to enterprise SSO.
Week 2: Authentication, Performance, and Your First Case Study
Preview of what's coming next week - deep dives into auth patterns, performance optimization, and our first community spotlight.
Announcing the Ferni Developer Platform: Voice AI You Can Actually Build On
Today we're opening the platform that powers Ferni to every developer. Build voice-first experiences with the same tools we use.
Building Your First MCP Integration
A step-by-step guide to registering external MCP servers and making their tools available to voice agents.
Voice AI Is the New Mobile: Here's Why We're Betting Everything On It
The iPhone didn't just improve phones - it created categories we couldn't imagine. Voice AI is that same moment, happening now.
5 Patterns That Saved Our Production Voice Agent
The code snippets we wish we'd known from day one - learned the hard way so you don't have to.
Webhook Security Best Practices
How to verify webhook signatures, handle retries, and build robust event handlers for the Ferni Developer Platform.
Building Multi-Step Workflows
Create sophisticated automations with the Ferni Workflow Engine. Supports branching, parallel execution, and voice-triggered workflows.