AI Voice
8 posts in this category.
How We Automated Partnership Matching with AI for 17K+ Users
The engineering behind onSpark's AI partnership matching engine. From voice onboarding to vector-based matching, serving 17,000+ professionals.
Read →How to Build an AI Voice Receptionist with Vapi.ai
Step-by-step guide to building a production AI voice receptionist that handles calls 24/7. Real case study from a plumbing business that never misses a lead.
Read →How to Build an AI Voice Agent for Your Business
Everything you need to know about building an AI voice agent for your business. Use cases, platforms, costs, and a step-by-step implementation guide.
Read →MCP Server Integrations Explained: Connecting AI Tools to Your Data
What MCP (Model Context Protocol) servers are, how they work, and how to build one. Real example from HeySeo's integration with Claude, Cursor, and Windsurf.
Read →Pinecone Vector Search for Partner Matching: A Real-World Example
How we used Pinecone vector embeddings to build an AI-powered partner matching engine for 17K+ professionals. Architecture, implementation, and lessons learned.
Read →Vapi.ai vs Bland.ai vs Retell: The Complete Voice AI Comparison (2026)
An honest comparison of Vapi.ai, Bland.ai, and Retell for building AI voice agents. Pricing, features, latency, and real production experience with each platform.
Read →Retell.ai vs Vapi.ai: Choosing the Right Voice AI Platform (2026)
In-depth comparison of Retell.ai and Vapi.ai for building AI voice agents. Features, pricing, performance, and real recommendations from production deployments.
Read →Building Production AI Voice Agents with Vapi.ai (2026 Complete Guide)
Step-by-step guide to building AI voice agents with Vapi.ai. Learn the architecture, implementation patterns, and production best practices from real-world experience.
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