Customer support agents

A company uploads its documents or gives its website address. Chatbase turns that material into a chat agent that answers customer questions on the site, by email or by phone, and hands the conversation to a person when it cannot answer.

It launched the obvious application of a new model within weeks, with a pricing page on the first day. The founder built the parts around the model instead of a model, so every model upgrade improved the product for free. Then it moved from a consumer toy to business customers who stay.

A business connects its lead forms, for example Facebook lead ads, LinkedIn forms or a website form, through Zapier or Make. About 10 seconds after each form arrives, Setter AI sends the person a WhatsApp message, answers questions, asks qualifying questions, follows up when there is no reply, and books the meeting in Calendly or Google Calendar. A chat window does the same on the business's website, and WhatsApp reminders reduce missed meetings.

It sold one promise that a customer can measure: a first reply to every new lead within 10 seconds, to businesses that already pay for many leads through Meta ads. A demo on the website brought sales calls through organic search before the product was built. Revenue then fell from US$9,000 to US$12,000 a month in late 2025 to under US$2,000 in September 2026, in the same months in which the founder launched other products.

A company connects its website, help center, files or old support tickets. DocsBot turns that material into a chatbot that answers customers or employees with links to the source passages, in a website widget, in Slack, by voice or through an API, and passes the conversation to a person when it cannot answer.

It opened in the week OpenAI released the ChatGPT API, after seven other AI products by the same founder had earned little. It sold to businesses, which stay longer than consumers. The last step to the first million came from higher prices and from removing the cheapest plan.

A company connects My AskAI to the help desk it already uses, such as Intercom or Zendesk, and gives it the help center, the website and past tickets to read. The agent then answers customer questions inside that help desk, or writes a draft as an internal note for a human agent. When it cannot answer, it hands the conversation to a person in the same tool, with a summary.

The founders sold the idea before they built it, and built it with a no-code tool so that one person could change it every day. Then they cut the product down to the one use that brought 70% of the revenue. They placed it inside the help desks that customers already pay for, and priced it below the AI agents that the help-desk vendors sell themselves.

A company pastes its website address. SiteGPT reads every page, builds a chatbot that answers visitor questions from that content, and puts it on the site. Plans are priced by the number of chatbots, pages and messages. There is no free plan, only a 7-day trial.

It was built in two to three weeks as a side feature for an existing product and launched with a paywall on day one, one month after the ChatGPT API appeared. It reached US$10,000 a month in 25 days, then lost half of it to churn. What kept it alive for three years was cheap customer acquisition: more than 50 free web tools that rank on Google and send visitors to the paid product.

A no-code builder for AI support agents that answer from a company's own content: websites, files, Notion pages, YouTube videos and RSS feeds. The agents work in a website widget, Slack, Discord, WhatsApp, Telegram, email, phone calls and an API, on a model that the customer picks from more than 20.

It shipped in March 2023, when connecting ChatGPT to a company's own documents was new, 23 days after the first prototype. The founders posted their progress on Twitter, opened with a waitlist, and well-known early users such as Seth Godin brought attention. Low prices and frequent releases kept it selling after growth slowed in the third month.