Guides and updates on AI chatbots, knowledge base automation, and customer support.
A plain explanation of similarity search — how an AI chatbot finds the right chunk of your docs to answer from, and why it works by meaning, not keywords.
What prompt injection is, why it's a real risk for AI chatbots, and how grounding answers in scoped, trusted content reduces the attack surface.
A plain explanation of chunking and embeddings — the two steps that turn a document into something an AI chatbot can search and answer from.
What separates an AI answer that's actually grounded in your documentation from one that's confidently made up — and why the distinction matters for support.
A single, realistic support conversation annotated turn by turn — what's actually happening behind each reply, from retrieval to escalation.
A general-purpose AI model dropped into a support widget doesn't know your product. Here's why grounding it in your own docs is the part that actually matters.
Common assumptions about AI chatbots for customer support — more data, a human tone, model choice — and why they don't hold up in practice.
What a token actually is, why AI pricing is measured in them, and why a chatbot can seem to 'forget' things you said earlier in a conversation.
We ran our own help docs and blog through Lumen Chat and published the real list of questions it fell back on — and what we fixed because of it.
A week of real attempts to break Lumen Chat's guardrails — what worked, what didn't, and what we changed because of it.
A plain-English breakdown of what actually drives AI chatbot costs — tokens, embeddings, storage — and how to think about build-it-yourself versus buying.
A plain-language explanation of retrieval-augmented generation — the technique behind AI chatbots that answer from your own documentation instead of guessing.
A pre-spike checklist for AI chatbots — content gaps, source freshness, and escalation limits — before a product launch, sale, or seasonal surge.
A walkthrough of the Lumen Chat dashboard — overview stats, document sources, widget settings, and conversations — for teams getting started.
Practical formatting and structure tips that make your existing documentation easier for an AI chatbot to retrieve and answer from accurately.
How auto-sync works for Notion, Google Drive, and website sources in Lumen Chat, and how to choose the right sync interval.
How to add the Lumen Chat widget to any website — React, plain HTML, or otherwise — with a single script tag, and how to keep the embed key secure.
A walkthrough of every widget setting in Lumen Chat — title, colors, avatar, starter questions, and fallback behavior — so it looks like it belongs on your site.
How to add PDFs, Word docs, Markdown, and plain text directly to Lumen Chat when your content doesn't live in a connected platform.
How to point Lumen Chat at your public site, crawl your help center or marketing pages, and use them as chatbot knowledge without touching Notion or Drive.
How to connect Google Drive to your AI chatbot and scope access to a single folder instead of your whole account.
Step-by-step guide to authorizing Notion, picking specific databases, and turning your workspace into a live AI chatbot source in Lumen Chat.
Practical, low-effort changes — including AI chatbots grounded in your own docs — that cut repetitive support volume before it reaches your inbox.
A practical walkthrough of connecting Notion, Google Drive, or PDFs to Lumen Chat and going live with an AI support chatbot in minutes.
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