DokBot launches a no-code support chatbot builder that strictly answers queries from documentation and captures leads when answers are unavailable.
DokBot is a no-code customer support chatbot platform created by Lautaro Silva that enables teams to deploy website widgets trained on their own documentation, including PDFs, DOCX, XLSX, Markdown, TXT files, and imported URLs. Designed to prevent hallucinations, the bot strictly confines its responses to indexed source materials and explicitly refuses to guess when information is missing. Whenever an inquiry falls outside the provided documents, DokBot collects the visitor's email address and conversation context, routing it to the dashboard as a qualified lead. The platform embeds via a Shadow DOM widget to prevent CSS collisions, supports bringing your own API keys across providers like Groq, OpenAI, Anthropic, and Google, and provides Model Context Protocol (MCP) support on Pro tiers to let users manage bots and inspect leads directly inside Claude.
While doc-to-bot wrappers are everywhere, DokBot differentiates itself by treating unanswered questions as lead capture opportunities and embracing modern agentic tooling.
- –Grounded retrieval with explicit refusal rules prevents brand-damaging hallucinations on customer-facing sites.
- –Automated email collection transforms query dead-ends into actionable sales and customer support leads.
- –Native Model Context Protocol (MCP) integration offers a modern control plane for managing bots and triaging leads inside AI clients like Claude.
- –Flexible BYO API key options (OpenAI, Anthropic, Groq, Google) alongside pre-bundled credits give teams cost control without platform lock-in.
DISCOVERED
1d ago
2026-09-25
PUBLISHED
1d ago
2026-09-25
RELEVANCE
AUTHOR
Lautaro Silva