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Doks.ai
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Doks.ai Verified Tool

Doks.ai creates support chatbots trained on websites, documentation, knowledge bases, tickets, pasted text, and uploaded files, with embedding, multilingual answers, forms and human handoff. Teams should curate and update sources, protect customer data, test citations and refusal behavior, restrict integrations, disclose automation, monitor answers, and provide accessible escalation.

Last Update: August 20, 2026

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Starting price Free trial + from $15/mo

Tool Information

Doks.ai creates support chatbots trained on websites, documentation, knowledge bases, tickets, pasted text, and uploaded files, with embedding, multilingual answers, forms and human handoff. Teams should curate and update sources, protect customer data, test citations and refusal behavior, restrict integrations, disclose automation, monitor answers, and provide accessible escalation.

Begin with authorized, minimal, non-sensitive inputs. Configure access, privacy, retention, visibility, quality, model, citations, disclosure, integration, export, moderation, safety, and spending controls. Compare results with authoritative source material, correct errors and artifacts, test the complete workflow, and retain accountable human approval before publication, registration, deployment, payment, health action, or consequential use.

A seven-day free trial includes one chatbot, 20 message credits, 400,000 characters, and one lead form. Paid access starts from approximately $15 per month; projects, message credits, models, branding, white label, renewal, taxes, and enterprise terms vary.

AI output can be inaccurate, speculative, biased, derivative, unsafe, technically flawed, or misleading. Review consent, copyright, commercial rights, training, retention, renewal, refunds, security, and platform rules. Domain availability changes quickly; health, accounting, legal, and engineering outputs require qualified professional review.

F.A.Q (3)

Doks.ai creates support chatbots trained on websites, documentation, knowledge bases, tickets, pasted text, and uploaded files, with embedding, multilingual answers, forms and human handoff. Teams should curate and update sources, protect customer data, test citations and refusal behavior, restrict integrations, disclose automation, monitor answers, and provide accessible escalation.

Begin with authorized, minimal, non-sensitive inputs. Configure access, privacy, retention, visibility, quality, model, citations, disclosure, integration, export, moderation, safety, and spending controls. Compare results with authoritative source material, correct errors and artifacts, test the complete workflow, and retain accountable human approval before publication, registration, deployment, payment, health action, or consequential use.

Verified pricing: Free trial + from $15/mo. A seven-day free trial includes one chatbot, 20 message credits, 400,000 characters, and one lead form. Paid access starts from approximately $15 per month; projects, message credits, models, branding, white label, renewal, taxes, and enterprise terms vary.

Pros and Cons

Pros

  • Builds a support chatbot from a website or knowledge base
  • Accepts URLs and XML sitemaps as training sources
  • Can ingest pasted text and uploaded documents
  • Supports multiple source URLs
  • Embeds as a floating widget or custom trigger
  • Lets visitors reach a human agent from chat
  • Can create help-desk tickets and demo bookings
  • Provides customizable lead and contact forms
  • Supports colors; logos; icons; avatars; and welcome messages
  • Detects and responds in the visitor's language
  • Allows custom base prompts and personality instructions
  • Tracks chatbot usage
  • Supports GitBook and Markdown content
  • Allows retraining without an extra retraining charge
  • Offers a seven-day trial without a card
  • Provides Enterprise white-labeling

Cons

  • For Doks.ai; there is no permanent free plan
  • The trial is limited to one bot; 20 message credits; 400;000 characters; and one lead form
  • Paid pricing is not visible on the main page
  • The default model is GPT-3.5 Turbo; while GPT-4 is still described as coming soon
  • One message credit maps to one default-model message and limits apply across projects
  • The claimed 40–70% ticket reduction comes from vendor testing
  • Bots can hallucinate policies; product behavior; prices; or troubleshooting steps
  • Source data must be retrained when documentation changes
  • Video content must be transcribed before ingestion
  • Brand customization is restricted to paid plans
  • The service offers no partial or full refunds
  • Embedded scripts add third-party security; privacy; performance; and availability dependencies
  • Lead forms collect personal information that requires consent and secure handling
  • Unlimited documents can still create poor retrieval when sources conflict or are outdated
  • Human escalation and source citations require careful testing before launch
  • The site still carries a 2024 copyright and some roadmap language may be stale

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