Insights on AI-powered support, screen-aware chatbots, and building better in-app experiences.
Your users are asking questions inside your product. An in-app AI support assistant can resolve them before the user opens a ticket — or cancels. Here’s how to add one with an SDK.
Read more →Dozens of JavaScript chat widget packages on npm. Most are toys. Here’s what actually matters: API design, bundle size, TypeScript support, customization depth, and context awareness.
Read more →A chat SDK that takes 30 minutes to install will never get installed. Here’s why time-to-first-message is the metric that matters and why most chat SDKs get integration wrong.
Read more →Every SDK claims to be developer-friendly. Here’s what that actually means: documentation that answers real questions, TypeScript types, working examples, and escape hatches for edge cases.
Read more →TypeScript-first chat SDKs eliminate integration bugs, improve DX with autocomplete, and give you refactoring confidence. Here’s why JavaScript-only SDKs are a liability.
Read more →A conversational AI chatbot uses natural language understanding to have real back-and-forth conversations with users. Here’s how they work, where they fall short, and how screen-aware AI takes it further.
Read more →Generic chatbots don't know what page your user is on. Screen-aware AI changes everything — it sees the UI, understands context, and resolves issues in seconds instead of minutes.
Read more →Per-seat plus per-resolution pricing adds up fast. Here's why SaaS teams are switching to flat monthly pricing for AI-powered customer support.
Read more →What if your chat widget could click buttons, navigate pages, and walk users through complex workflows? AI auto-navigation is making scripted product tours obsolete.
Read more →You're spending thousands on paid campaigns but when a chat lead converts, the data says "Direct." Here's how first-party UTM attribution in your chatbot closes the attribution black hole.
Read more →Generic chatbots handle 20% of SaaS support questions. Purpose-built ones handle 60%+. The difference is whether the AI knows your app's routes, features, and user context.
Read more →A screen-aware chatbot doesn't ask users to describe their problem — it already knows what they're looking at. Here's what that support experience looks like, from both sides of the conversation.
Read more →Most support automation deflects 15% of tickets instead of 60%. The gap comes down to one thing: context. Here's what automated support that actually resolves issues looks like.
Read more →Intercom built its reputation in a different era of support tooling. AI-native alternatives are now offering capabilities Intercom can't match — screen awareness, auto-navigation, flat pricing — at a fraction of the per-resolution cost.
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