ChatFast

ChatFast creates AI agents that answer customer questions from your website, help center, PDFs, and files, cite their sources, capture lead details, and hand off to your team when a human is needed. Unlimited agents per paid plan and a single snippet install make it practical for support, sales, and front desk roles.

ChatFast builds customer facing AI agents that answer questions using your own content: website pages, help center articles, PDFs, and files, including scanned documents. Instead of relying on general training data, each agent reads your sources and cites where an answer came from, such as a specific page in a pricing PDF. When a question falls outside those sources, the agent can collect contact details and form fields, send an email, call your API, or trigger a webhook, then hand the conversation to a human with the full transcript attached. The product is organized around jobs rather than a single monolithic bot. Every paid plan includes unlimited agents, so support, sales, front desk, and internal team knowledge can each have a dedicated agent with its own sources and escalation rules. Setup runs through four stages: connect knowledge, test answers in a playground, install a single snippet on your site, and review real conversations to spot weak answers and improve the underlying content. Corrections made through Q&A entries persist, and re-indexing a source keeps responses current when pricing or policies change. ChatFast is aimed at small to mid sized businesses that want a support or lead capture assistant without managing language models directly. The platform routes each request to a model from providers such as Claude, GPT, Gemini, and Grok, and lets you choose a Standard or Advanced reasoning level per agent. Replies can follow the customer's language or be pinned to one language. The company states that documents and conversations are never used to train or fine-tune foundation models. Compared with generic chatbots that answer from training data, ChatFast emphasizes source grounded answers and human handoff. Compared with full support suites, it is narrower: it focuses on the conversation layer and the knowledge behind it, leaving ticketing and CRM functions to the inbox and integrations you already use. Cost scales with conversation volume through a credit system, which makes it a better fit for teams with predictable traffic than for very high volume contact centers.