Automate your customer service.
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Create an AI chatbot for your website in minutes. Teach it from your own content instead of scripting replies, then watch it answer customers and spot the buyers in your queue.
Free 14-day trial No credit card required AI agent included
The AI agent learns your website, help center, and files, then writes each reply itself.
A drag-and-drop canvas runs the scripted moments: triggers, branches, and actions across your stack.
Sales, leads, and resolved conversations land in your reports, in dollars.
Over 35,000 brands run their customer conversations with Text
An AI chatbot builder is software that lets you create a chatbot for your website without writing code. You will also see the same tools called chatbot makers or chatbot creators. The name matters less than the method. The older generation asks you to script every reply in a flowchart. The newer generation starts from your content and writes replies with generative AI.
Rule-based builders match keywords and follow branches, so they break the moment a customer phrases something differently. AI-powered builders read your website, help center, and policies, then answer in real time. Text gives you both sides in one product: an AI agent you teach, and a drag-and-drop canvas for the automations you want to control step by step. It is the same engine behind our AI customer service software.
73%
of conversations resolved by the AI agent on its own.
24/7
Questions get answered at 2 PM and at 2 AM.
266%
average visit-to-order lift reported by Shopify stores.
Point it at what you already have. It learns your content and starts answering.
Give it your URL and it scans your pages: the whole site, one section, or single pages. Sources can refresh automatically, so answers stay current.
Write instructions in plain language, up to 10,000 characters. Set the tone of voice, the languages it speaks, and how long answers should run.
PDFs, DOCX files, and help articles become knowledge sources next to your website scan, and sources marked as updated refresh on their own.
Reports show resolutions and the resolution rate, so you see the queue shrink from week one.
Some moments should not be improvised. Draw them as flows: a trigger, your conditions, and actions across your stack.
Trigger and branch
A flow starts when something happens: a chat ends, a keyword shows up, a ticket is created, or a schedule fires. Conditional paths split the flow on the data in view, so a qualified lead lands in Salesforce and your team hears about it in Slack.
Act across your stack
Blocks read chat details, look up the customer, and act in Salesforce, HubSpot, Mailchimp, or Slack. Webhooks reach anything else. Delays and parallel branches keep multi-step scenarios tidy on one screen.
A skill tells the AI agent when to act and what to do, in one plain sentence. Each of these takes minutes to set up.
When a chat ends, qualify the lead with AI and create it in Salesforce.
When a chat mentions pricing or a demo, send a message to your sales team in Slack.
When a chat ends, find the contact in Salesforce and create it if it is missing.
When a chat leaves a new contact, add them to your audience in Mailchimp.
Before your team takes over, summarize the conversation with AI, so the seller reads three lines instead of thirty.
When a chat gets a low rating, wait a beat, then create a follow-up ticket so someone closes the loop.
Skills fire on intent, keywords, the page a visitor is on, location, or time, and can call a webhook mid-chat.
Nothing you build here goes live by accident.
Step 1
Chat with your AI agent in a preview widget before it goes live. It also shows which skill would trigger, and when.
Step 2
Trigger a flow manually and watch it execute step by step before it touches real conversations.
Step 3
Run logs keep the history: what fired, what succeeded, and what failed. Debugging is reading, not guessing.
Build the chatbot once, answer on every channel, and keep one queue.
Your website chat widget goes live with a copy-paste snippet, or install the WordPress chatbot plugin.
The same build answers as a messenger chatbot and on WhatsApp, in one inbox.
Twilio-powered texts reach the same AI agent and the same queue.
Forward your support mailbox and email becomes tickets in the same inbox your chatbot and team share.
A Shopify chatbot answers with the order in view and sells from your catalog.
Flows and custom skills call your outside systems: Salesforce, HubSpot, Mailchimp, or anything with a webhook.
Reported by companies using the AI agent and inbox in production.
$1.5M
Revenue after 8 months
+25%
Average order value
80%
AI resolution rate
Four steps from signup to a live chatbot on your site.
Sign up free with your business email. 14 days free, no credit card required.
Point it at your website and add the files or articles it should answer from.
Chat with your agent in the preview widget and adjust the instructions until it sounds like you.
Add the widget with a snippet or the Shopify, WordPress, or Webflow apps. Plug in WhatsApp, Messenger, or SMS when you are ready.
The market is renaming itself. Tools that called themselves chatbot builders now call the same thing an AI agent builder, and both labels get used for products that work very differently. The question that matters is not the label. It is whether you script conversations up front or teach the system and let it write. Scripted flows are predictable and rigid. Taught agents handle phrasing they have never seen. Text pairs the two, so you script only where control pays off.
The same build works as a customer service chatbot on Monday, a sales chatbot on Friday, and an ecommerce chatbot through the holidays. Teach it once, then add a skill per job instead of building a new bot each time.
Free 14-day trial No credit card required AI agent included
