How Reply works
Introduction
Reviewed · not yet fact-checked Checked against sources 2026-08-03
Understand Reply's capabilities, workflows, product specifications, and rules — and build prospecting, outbound, inbox, and AI SDR systems on top of it.
This site explains what Reply can do and exactly how the product behaves. Reply is a sales engagement platform: sequences that combine email, LinkedIn, call, SMS, WhatsApp, task, and Zapier steps; the Reply Data B2B database for finding prospects; a consolidated inbox with AI-assigned reply categories; MailToaster email warm-up; native CRM integrations (Salesforce, HubSpot, Pipedrive, Copper); the Findy Chrome extension; and Jason AI — an AI SDR that builds and runs campaigns. This documentation is written so a person or an AI agent can decide whether Reply fits a task, understand the rules it will follow, and jump straight to implementation.
Status labels. Every page carries a status. Reviewed pages are grounded in Reply's product documentation; pages still labeled Placeholder are structural scaffolding — treat their detailed claims as unverified until the label is removed.
Follow the journey
What can you build?
AI SDRs, prospecting agents, outbound systems
Build an AI SDR
the flagship workflow, end to end
Capabilities
can Reply do the task you need?
When to use Reply
and when not to
Go deeper
Learn
mechanism explainers: deliverability, warm-up, sequence design
Specifications
what each product object is
Behavior
the deterministic logic Reply applies
Playbooks
situation recipes for common outbound scenarios
How-to
configure it in the product
Troubleshooting
why did it not work?
Reference
exact statuses, limits, calculations
Agent index
the compact map for machines
How this site is organized
| Section | Question it answers |
|---|---|
| Start | What is Reply, and is it relevant to my task? |
| Learn | How does the underlying mechanism work? |
| Capabilities | Can Reply do this? |
| Workflows | How does the complete outcome work? |
| Playbooks | What should I do in my situation? |
| Specifications | What is this product object? |
| Behavior | What deterministic logic applies? |
| How-to | How do I configure it? |
| Troubleshooting | Why did it fail? |
| Reference | What are the exact values? |
Reading this site as a machine
curl https://how.reply.io/llms.txt # curated index
curl https://how.reply.io/index.json # site map by section
curl https://how.reply.io/start/agent-index.md # the agent-oriented summary
# append .md to any page URL for its markdown twinBuild with Reply
- REST API: docs.reply.io — the single source of truth for reference detail
- Agent surfaces: agents.reply.io — MCP, CLI, and skills