A production chat agent from a prompt
Describe what your agent should do, attach your knowledge, and publish. You get a branded, multilingual chat product on your own URL — not a demo, a product your customers and your team actually use.
WYSIWYG behavior
Edit the prompt and behavior settings visually — tone, guardrails, welcome flow, teaser messages. No YAML, no SDKs.
Grounded answers
Agents answer from your knowledge bases with citations, so users can verify every claim against the source.
Speaks 12 languages
The chat UI ships localized in 12 languages out of the box, and the agent follows the visitor's language automatically.
Memory & context
Agents remember returning visitors and keep long conversations coherent with automatic context management.
Inbox & contacts built in
Every conversation lands in your dashboard inbox with visitor metadata — your agent doubles as a lead machine.
Open or gated access
Run the agent wide open, require login, or charge for seats — per agent, your call.
What teams build with it
Three jobs this does the day you turn it on.
Support that ends in an answer
Absorb the repetitive half of your inbox — hours, policies, availability, order status — and cite the page or document each answer came from, so nobody has to take it on faith.
A concierge that qualifies
The agent asks what your best rep would ask, then hands you a named contact with the whole conversation attached — not an anonymous chat-ended event.
An internal expert on call
Point one agent at your handbooks, contracts and runbooks, put it behind login, and stop answering the same question in Slack every week.
Where you set this up
The same build screen every feature is configured from — this row is the one you would touch.
Under the hood
The details you will want before you commit.
How it works
Describe it
Write the prompt in plain language — or start from your website with the one-click importer.
Attach knowledge & tools
Connect docs, URLs and tools so the agent can answer accurately and take action.
Publish
Share the hosted page, embed the widget, or connect your own domain. Set a price if you want to sell seats.
Where it earns its keep
Industry playbooks that lean on this piece — what to build first, and what to charge.
Frequently asked questions
No. Describe the job in plain language, or point the importer at your website and it drafts the prompt, the knowledge base and the welcome flow for you — then you edit whatever it got wrong.
Yes. The chat interface ships in 12 languages and the agent replies in whichever language the visitor writes in, from one single prompt.
Answers are retrieved from your knowledge with a relevance floor: when nothing clears the bar the agent says it does not know instead of guessing, and every claim it does make carries a citation.
Yes. Set a monthly per-seat price and buyers check out through Stripe — seats, invoices and refunds are handled for you.
How it compares
Side by side with the tools people usually weigh this against.
SuperCognit vs Chatbase →
Chatbase is a popular no-code builder for chatbots trained on your data, aimed mostly at website support.
SuperCognit vs CustomGPT.ai →
CustomGPT.ai builds RAG chatbots from your content, with a focus on accurate, cited answers.
SuperCognit vs Intercom Fin →
Intercom Fin is the AI support agent inside Intercom's customer-service platform, priced per resolved conversation.