Practical guides on AI customer support: channels, RAG, tool actions, human handoff, voice, lead capture and querying your own database in plain language.
· 4 min read
Counsellors and therapists ask their most sensitive questions before the first session, often in a Word document sent over WhatsApp. What we built instead, and the mistake that dropped our completion rate to 17 percent.
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"Write GUIDE in my DMs" is one of the most common calls to action on Instagram. How to send the PDF automatically, why the whole message has to be the keyword, and the small things that broke in the first week.
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Sending an announcement to your own customers should not need a mailing house. How we built campaigns on the contact book, why consent is a history rather than a checkbox, and why a list of 1,000 takes five days.
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Email is still the busiest support channel most businesses have. What it takes to put an AI assistant on it: connecting the mailbox, replying inside the thread, and the messages it must never answer.
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What it takes to run an AI assistant on WhatsApp Business: Meta verification, the inbound-first model, grounding answers in your own documents, and human handoff.
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Plain-language questions over your own database can replace a report queue, but only if the SQL layer is read-only, deterministic and audited. Here is the design that holds up.
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Why retrieval-augmented generation is the difference between an assistant that represents your business and one that improvises, and what makes retrieval actually work.
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A lead you cannot trace is a marketing budget you cannot defend. How to wire landing pages, forms and first-touch UTM attribution into one pipeline.
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The difference between an AI assistant customers trust and one they fight is what happens when the AI reaches its limits. How to design handoff, takeover and resume properly.
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Browser voice calls, inbound phone answering and form callbacks: the three shapes of a voice agent, and how to add one to your site with a single snippet.
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