Request Router docs
Request Router is a speed-to-lead system. When someone fills out the contact form on your website, your agent replies within seconds — with one tailored qualifying question, written by AI trained on your business. It captures their answer and forwards the whole conversation to your inbox, enriched and ready to close.
You don't change your website. You don't install anything. You point your existing form's notification email at an address we give you, and every lead gets an instant, on-brand first reply — 24/7.
How the pieces fit
- Your contact form keeps working exactly as it does today. Its notification email — the one that currently lands in your inbox — goes to your agent's inbound lead address instead.
- Your agent reads the submission, filters out spam and sales pitches, and emails the lead one sharp qualifying question, usually in under a minute.
- The lead replies by email, like they would to a real person.
- You get the whole package: their contact info, original message, and the question-and-answer exchange, forwarded to any inboxes you choose. Hit reply and you're talking straight to the lead.
What it is — and isn't
Request Router is deliberately narrow, because the first five minutes are what matter:
- Email only. Your agent replies by email — no SMS, no voice calls.
- One question per lead. The agent asks a single qualifying question and gets out of the way. No drip sequences, no chasing, no pretending to be a salesperson.
- You close the deal. The agent's job is to respond instantly and qualify; yours is everything after.
Find your way
- Getting started — create an account and your first agent.
- Training your agent — feed it links and files so it sounds like your business.
- Agent settings — everything you can configure.
- Test leads — try the full pipeline before paying anything.
- Going live — connect your form and switch on real leads.
- The lead pipeline — exactly what happens to every submission.
- Best practices & limits — get the most out of it.
For the robots
Every page in these docs is available as plain markdown — append .md to the URL (for example, /docs/getting-started.md). The whole set is also published as /llms.txt and /llms-full.txt for AI assistants.
