Posts tagged "ai chatbot."
Considering an alternative to Intercom Fin? Here's how to compare on grounding, pricing model, setup time, and escalation — without the marketing-page fog.
How to evaluate an AI chatbot for a WordPress site — no-plugin-bloat installation, grounding in your actual content, and what to check before adding another script tag.
What to actually look for in an AI chatbot for a Shopify store — order-aware answers, product catalog grounding, and escalation for the questions bots shouldn't touch.
Follow one document through the entire pipeline — upload, chunking, embedding, weeks of sitting idle, and the moment it finally answers a real question.
A quick, practical test for whether a page of documentation will produce a good chatbot answer: can the actual answer be pulled out in two sentences?
Not all confident-sounding chatbot answers are equally trustworthy. A tier list ranking chatbot behaviors from genuinely honest to actively misleading.
A pricing question, two contradictory documents, and one confident wrong answer that almost went out before anyone caught it. What actually happened, and what we changed.
A month of support conversations, from the chatbot's side — what it got right, what it escalated, and what it wishes people understood about the job.
Passing as human was never the right goal for a support chatbot. Here's a better test: would you make a decision based on this answer without double-checking it?
The same customer question, answered three different ways — by an ungrounded AI, a poorly-grounded chatbot, and a well-grounded one — and what actually separates them.
A practical checklist for evaluating AI support chatbots before you commit — grounding, data handling, escalation, and total cost of ownership.
Admitting uncertainty isn't a natural behavior for an AI model — it has to be deliberately engineered in. Here's why, and what it actually takes.
Turn a Notion workspace into a live AI chatbot in four steps — authorize, select databases, index, and embed on your site.
A short, sincere eulogy for the 11:47 p.m. support ticket that almost got filed — and the quiet chain of events that meant it never had to be.
A non-technical walkthrough of adding an AI support chatbot to your site — connect your docs, customize the widget, paste one line of code.
A millisecond-by-millisecond breakdown of what actually happens between a visitor hitting send and an AI chatbot's answer appearing on screen.
A criteria-based guide to evaluating AI support chatbots for SaaS — grounding, source connectors, escalation, and pricing — not a ranked listicle.
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.
What separates an AI answer 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 what 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 docs 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 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 and crawl your help center or marketing pages 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.
Connect your content and go live in minutes. Free to start, no credit card required.
