Step-by-step guides, technical tutorials, and use-case playbooks for building AI voice and chat agents — plus the latest AI news, model releases, funding, and policy developments.
From the blog
Real AI coding interview questions from Anthropic, Meta, and OpenAI in 2026. Includes implementing attention from scratch, Anthropic's progressive coding screens, Meta's AI-assisted round, and vector search — with solution approaches.
New customers ask repetitive setup and process questions during onboarding. Learn how AI chat and voice agents absorb the load without hurting experience.
Billing and invoice questions often bounce between departments. Learn how AI chat and voice agents answer the common ones and route only real exceptions.
Real MLOps and AI deployment interview questions from Google, Amazon, Meta, and Microsoft in 2026. Covers CI/CD for ML, model monitoring, quantization, continuous batching, serving infrastructure, and evaluation frameworks.
Real agentic AI and multi-agent system interview questions from Anthropic, OpenAI, and Microsoft in 2026. Covers agent design patterns, memory systems, safety, orchestration frameworks, tool calling, and evaluation.
Real AI safety and alignment interview questions from Anthropic and OpenAI in 2026. Covers alignment challenges, RLHF vs DPO, responsible scaling, red-teaming, safety-first decisions, and autonomous agent oversight.
Same-day cancellations and reshuffles can overwhelm schedulers. Learn how AI chat and voice agents help rebalance appointments and crews in real time.
Post-purchase upsell and cross-sell opportunities often disappear because follow-up is weak. Learn how AI chat and voice agents reopen those moments at scale.
Billing disputes often jump straight to senior staff because basic context is missing. Learn how AI chat and voice agents structure the dispute before escalation.
