How to Train an AI to Answer Your DMs
Train an AI to answer your Instagram and Facebook DMs in your own voice using a simple Q&A knowledge base. A practical setup guide for creators.
By The Tendrify Team · · 6 min read
An AI that answers your DMs is only as good as what you teach it. The good news: you don't need data science — just a clear set of questions and answers in your own words. Here's how to build a knowledge base that lets AI handle your inbox accurately and on-brand.
Start with your real questions
Open your DMs and list the questions you answer over and over: pricing, delivery, how something works, whether you take custom orders. These are your highest-value training inputs because they're what people actually ask.
- 1Collect your 15–20 most common questions.
- 2Write a clear, on-brand answer for each — the way you'd actually reply.
- 3Add your key facts: prices, links, policies, hours.
- 4Set a fallback for anything outside scope ("I'll have a human get back to you").
Give it your voice
Tone matters as much as facts. If you're warm and casual, write your answers that way — the AI mirrors the style of your knowledge base. A few example replies in your natural voice go a long way toward making the bot sound like you and not a call center.
Test, then trust
Before going live, message your own Page or account and run through the common questions. Fix any answer that's off, then let it run. Review real conversations weekly and add anything it missed to the knowledge base — the bot gets better the more you feed it.
Keep answers short and specific. "Yes! Custom orders are open — here's how it works: [link]" beats a paragraph. The AI delivers what you give it, so tight inputs produce tight replies.
Frequently asked questions
How much content do I need?
Start with 15–20 Q&As covering your common questions. You can expand over time as you see what people ask.
Will it make things up?
A well-scoped knowledge base plus a clear fallback keeps it grounded. Tendrify's AI answers from your Q&A and hands off when unsure.
Can it answer in another language?
Modern AI handles multiple languages — if your audience is bilingual, it can reply in kind.
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