AI for Community

Voice AI for Law Firms: Why We Chose Quality Over Latency

Voice AI looks simple on paper, but real calls expose every weakness. After shipping production systems for law firms, we chose slower, higher-quality models to reduce errors, avoid rework, and protect trust, because reliability beats speed when every call matters.

Self-Hosted Voice Agents vs Vapi: Real Cost Analysis (TCO + Break-Even)

This post breaks down Vapi vs self-hosted voice agents using real TCO, not hype. It shows how per-minute fees hide platform tax, why costs spike after launch, and when self-hosting (Dograh, LiveKit, Pipecat, Vocode) wins on latency, control, and scale.

Voice AI Platforms Are Charging You for a Dashboard

The underlying voice stack (STT, TTS, LLM, telephony) is increasingly commodity. Closed platforms charge multiples of raw cost. The delta is UI, margin, and lock-in - not value. This post breaks down where the tax shows up: latency ceilings, debugging theater, roadmap distortion, and PII routing.

An Year of Building Agents: My Workflow, AI Limits, Gaps In Voice AI and Self hosting

Voice AI works but not because of the AI alone. After a year building voice agents, I’ve learned reliability comes from tight scope, deterministic rules, and clean human handoffs. This post shares how I (Stephanie Nyarko) design, build, and deploy voice agents that actually hold up in production.

Building Voice Bot for Africa: Scaling Affordable Voice AI without Breaking

Voice AI is booming, but building for Africa, especially Nigeria, requires handling diverse accents, languages, and real-world conditions. In this webinar, Muyiwa Ogundiya shares practical lessons on scaling affordable, high-quality voice agents that work in African markets.

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