Quiksbot

The core of the platform is training a bot on material you supply. You upload PDF documents, paste in text, or point Quiksbot at your website content, and it uses that as the knowledge base for answers. The free plan allows training on two PDF documents plus your website content, which is enough to test the idea before committing. Because the bot answers from your material rather than general knowledge, the replies stay tied to what your business actually says.

Most chatbot builders tie you to a single model. Quiksbot lets you choose. From the dashboard you can run conversations on ChatGPT, Grok, Claude or DeepSeek, and swap models without rebuilding the bot. If you would rather control cost and data directly, you can connect your own API keys from OpenAI, xAI, Anthropic and DeepSeek. That choice matters when one model handles a task better than another, or when a provider changes its pricing.

The bot runs in two places. You embed it on a website as a chat widget, or you connect it to a WhatsApp number so customers reach it in the app they already have open. Both draw on the same trained knowledge, so you set up the content once and serve it across channels. That is the practical draw for businesses whose customers split between a website and messaging apps.

Quiksbot ships three bot patterns rather than one blank tool. A sales bot guides a visitor toward buying. A support bot answers questions and lightens the ticket queue. An appointment bot takes bookings and contact details. Each has its own job, and a business can start with the one that hurts most and add the others later.

The bot keeps context across a conversation instead of treating each message as brand new. Chat memory lets it follow what a visitor already said, so the exchange does not restart every time. Custom prompts set the tone and rules, from how formal the bot sounds to what it should never say. Together they make the replies feel less canned and more like a real assistant.

When a question goes past what the bot can answer, it can hand the conversation to a person. The live chat side keeps the thread going, so the customer does not have to repeat everything they already typed. For support teams, that handoff is what makes an AI bot safe to leave in front of customers: it filters the easy cases and routes the hard ones to someone who can finish the job.

The dashboard tracks how conversations go, and you can download chat logs as PDF documents for review or records. Seeing what customers actually ask is the fastest way to find gaps in your content, and logs give a support manager something concrete to read when a bot gives a weak answer.