It thinks. It acts. It asks.
An LLM-powered agent that resolves routine conversations, takes action in your tools, and hands the human moments to your team — with the full context already attached.
No credit card required · 7-day free trial
Answers from your sources. Never invented.
The agent replies only from what you've taught it — your Knowledge Base, FAQs, and Collections — searched by meaning, so "refund policy" and "how do I get my money back" find the same answer. When it can't answer confidently, it doesn't improvise: the question is logged for you to fill in.
A Knowledge Base it searches
Text, PDFs, spreadsheets, web links, or a crawl of up to 200 pages become the library every answer is drawn from.
FAQs with a feedback loop
Questions it can't answer are logged to your Unanswered list automatically. Add an answer once and it's handled every time after.
Collections in the thread
When someone asks to browse, the right products surface as a visual carousel — matched by meaning, not exact words.
A persona you shape, not a script.
You decide who the agent is across a handful of settings — its name and greeting, its personality, the languages it speaks, how long its replies run, when it follows up, and exactly when it steps aside for a human. Configure it once; it stays on-brand in every thread.
Identity & greeting
Its name, a short description, and the first line every customer hears — set the tone before a word is typed.
Languages & personality
Reply in the languages you enable, each in the right script, at a voice dialled from professional to casual.
Reply length & follow-up
From tiny one-liners to detailed walkthroughs — and a quiet nudge when a thread goes cold so it doesn't slip away.
Human handoff
Plain-language conditions decide the moments that go to your team: refunds, manager requests, anything you name.
It doesn't just reply. It acts.
Skills give the agent real actions — check an order, book a slot, look up an account, or hit any API you point it at, all in plain conversation. Wire them up without code, then reference one inside an instruction block so the right action fires at the right moment. Build them in Skills & workflows.
Custom actions, no code
Check order status, book an appointment, look up an account, or call any REST API you point it at.
Fired at the right moment
Reference a skill inside an instruction block and it runs when the scenario matches — then follows up with the result.
Knows its limits
When an action really needs a person — a large refund, an edge case — it hands off with the context already gathered.
Test in private. Ship when it's right.
Every change runs in the playground first — real conversations, zero risk, nothing customers can see. Each save is a new version you can roll back to in a click, and a fallback message catches anything the agent can't handle so no one's left hanging.
A risk-free playground
Run conversations, watch how it responds, tweak until you like it. Real customers see none of it until you deploy.
Versioned saves & rollback
Every save is a new version. Roll back in a click; drafts from MCP or the API stay inactive until you deploy them.
A fallback that helps
When the agent gets stuck, it sends your fallback line and offers a human instead of leaving anyone hanging.
The routine, handled. The hard part, teed up.
"Cloodot's AI now handles the flood of WhatsApp queries across our stores and routes only what needs a person to the team. Faster replies, more sales, fewer agents on the clock."
— Akhil · MyG
The agent, in plain terms.
How does the agent avoid making things up?
What can I teach it from?
When does it hand off to a human?
Can I test it before customers see it?
What languages does it handle?
Try the whole thing, today.
Start free. Connect a channel, train an agent on your own content, and you'll have a working deployment in your inbox the same afternoon.