Tips, guides, and case studies on AI voice agents, phone automation, and growing your business with intelligent call handling.
Vapi pricing decomposed: platform fee, LLM, STT, TTS, telephony, and the line items that surprise builders. Real per-minute math with examples from actual deployments.
How modern AI voice agents actually understand callers: ASR, voice activity detection, intent extraction, context handling, and disambiguation. The full pipeline from spoken audio to actionable response.

How AI receptionists book appointments directly into your calendar — Google Calendar, Outlook, and SaaS tools. Conflict handling, time-zone gotchas, and why instant phone booking out-converts a "we’ll call you back" callback every time.

The real call-transfer decision for AI receptionists is not warm vs cold — it is transfer vs capture. How to decide which calls deserve a live handoff, how to route them, and why a captured request with a transcript usually beats a live transfer.

The three ways to give your AI receptionist a phone number — keep your existing number with call forwarding, port your number to a new provider, or get a new dedicated AI number. Tradeoffs, FCC rules, and how to avoid breaking your Google Business Profile.

A systems-level guide to handling the high volume of same-day junk removal requests that drive the industry, including call triage frameworks, pricing on the phone, and AI-powered scheduling that turns urgent calls into same-day revenue.

An analysis of whether 24/7 call answering is necessary for property management companies, covering legal obligations, tenant expectations, emergency response requirements, and the real cost of after-hours availability.
The 2026 engineering guide to building a low latency AI phone agent. Covers the realistic latency budget, the typical voice AI stack, why DIY pipelines break in production, and why the OnCallClerk SDK is the recommended path for most teams building voice agents with an LLM.

Your voice AI agent feels too slow on phone calls. This diagnostic guide shows where latency actually hides (STT, LLM, TTS, network), what numbers are normal, and which fixes give the biggest wins per hour of engineering work.

A cost decomposition for voice AI agents that explains why the real per-minute price is rarely what you calculated. Covers tokens-per-minute math, telephony fees, hidden retries, and the operational costs nobody warns you about.
A pragmatic guide to running a voice AI agent on the smallest possible budget. Covers minimum viable architectures, what tradeoffs are acceptable, and where cost-cutting will silently destroy your product.
A time-to-market guide for shipping a voice AI product. Realistic timelines for build vs buy, what shortcuts work, what shortcuts will haunt you, and how to get a real phone agent in production in two weeks instead of six months.
Set up your first AI phone agent in minutes. No coding required.