Learn from real-world case studies, technical breakdowns, and proven strategies that power high-performing AI assistants at scale.
Product teams are adding memory to AI assistants to improve continuity and personalization. Memory is not a single feature but a layered system. Designed well, it lifts resolution and trust. Designed poorly, it creates drift, privacy risk and cost.
Many multilingual RAG systems fail for predictable reasons. They trust drifting embedding spaces, slice documents mid-sentence, and let translation alter product names. A sturdier design keeps retrieval and reasoning in one base language, and translates only at the edges.
HoverBot has launched a public demo portal that lets buyers, product teams and developers test its website chat widget in realistic scenarios. The portal includes a central gallery and two industry demos showcasing different use cases.
Many chatbots stall for the same reason. Unanswered questions build up and nothing changes. Learn how to capture every miss as a signal, turn real gaps into small updates, and run a weekly improvement loop that delivers results without bigger models.
Websites tend to embed chat in four patterns: a simple bubble, an inbox with history, a task-driven support bot, and a multi-tab hub. This guide explains where each pattern fits, what it does well, and the least you need to configure to run it reliably.
Strong chatbots rely on routing, not just bigger models. Learn how to build a three-lane routing system with safety gates, fast responses, and heavy processing that optimizes for quality, cost, and security.
The hardest part is not the model, it is the human layer. Learn how to detect social intent, run guardrails, ground answers with retrieval, and use confidence gates to build chatbots that sound human, not robotic.
How AI chatbots have evolved from simple Q&A tools into full-service digital helpers that drive leads, handle onboarding, and boost revenue across nine different industries.
Why one-size-fits-all chatbots fall short and how modular skills add targeted, action-oriented capabilities like intent detection, promotional messaging, and CRM sync.
How we handed HoverBot's repo to AI agents and transformed our engineering workflow with specialized ML, backend, frontend, DevOps, and QA agents.
Book a 20-minute demo to explore how AI agents automate support, stay compliant, and ship faster.
One actionable email each week with templates, teardown case studies, and engineering playbooks.
Join 1,500+ AI leaders. Unsubscribe anytime.