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In the field guide

hiy

hiy.ai

hiy.ai offers an AI support agent platform that quickly creates AI-powered customer support agents by pasting a website URL. The agents answer customer questions with sourced citations, hand over complex queries to human teams, and learn from gaps in knowledge through a teach queue system.

The product, beyond the pitch

Editorially reviewed · Sources checked Nov 1, 2026

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A good fit for

  • Businesses wanting to automate customer support with AI agents that cite sources and hand over complex queries to humans.

Know the limitations

  • Voice support is not yet available but is being explored.
  • Support Agent requires a server to mint tokens for visitor authentication; without a server, knowledge counts as public on listed websites.

What you can do

  • Customer support automation answering repeat questions from product documentation on your own site.

Features

  • Answers customer questions citing exact source passages from provided documents and web pages.
  • Teach queue allows users to answer unanswered questions once, improving future AI responses.
  • Supports embedding on websites with a single script tag and token-based visitor authentication.
  • Supports multiple content sources including web pages, PDFs, Word files, Markdown, YouTube transcripts, and bulk blog imports.

Integrations

  • Handovers can be sent to Inbox, Zendesk, or Intercom tickets if connected.

Platforms & data export

  • Web-based platform with embedding on websites and integration inside your own product via API and token authentication.

hiy pricing

No plans recorded yet.

THE COST FOR YOUR TEAM

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Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

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A practical workflow

  1. Paste your website URL to create an AI support agent that reads your pages and documents.
  2. The agent answers questions citing exact passages from your content.
  3. Questions the agent cannot answer are queued for your team to teach it, improving future responses.

Based on the sources below. Editorial review does not imply hands-on product testing.

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What changed

2 recorded changes · latest 11/1/2026

Changes to the facts recorded here, not a live scan of every vendor update. Save this tool to follow updates in your account.

  1. Updated: best for, export formats, features, integrations, limitations, platforms, sources, summary, use cases, walkthrough

    See recorded changes
    bestFor

    Before: ["Companies wanting AI-powered customer support agents that provide grounded answers with source citations and transparent handoffs to human support.","Experts, coaches, and consultants who want to create a public AI twin of their expertise for sharing with an audience."]

    After: ["Businesses wanting to automate customer support with AI agents that cite sources and hand over complex queries to humans."]

    exportFormats

    Before: ["Exports conversation follow-ups and people lists as CSV files."]

    After: []

    features

    Before: ["Answers questions with source citations attached to each response.","Admits when it does not know an answer and offers to hand off the question to a human team member."]

    After: ["Answers customer questions citing exact source passages from provided documents and web pages.","Teach queue allows users to answer unanswered questions once, improving future AI responses.","Supports embedding on websites with a single script tag and token-based visitor authentication.","Supports multiple content sources including web pages, PDFs, Word files, Markdown, YouTube transcripts, and bulk blog imports."]

    integrations

    Before: ["Plans with Support and Team Agents include handoff emails to your inbox with visitor questions and contact info for human follow-up.","Future roadmap includes helpdesk and CRM integrations such as Intercom, Zendesk, and Zapier."]

    After: ["Handovers can be sent to Inbox, Zendesk, or Intercom tickets if connected."]

    limitations

    Before: []

    After: ["Voice support is not yet available but is being explored.","Support Agent requires a server to mint tokens for visitor authentication; without a server, knowledge counts as public on listed websites."]

    platforms

    Before: ["Available as a hosted page, inline embed, floating bubble widget on your website, and via API with token authentication."]

    After: ["Web-based platform with embedding on websites and integration inside your own product via API and token authentication."]

    sources

    Before: [{"url":"https://hiy.ai/","label":"Support your customers with hiy.ai"},{"url":"https://hiy.ai/pricing","label":"Pricing — hiy.ai"},{"url":"https://hiy.ai/products","label":"Expert Twin, Support Agent, Team Agent — one honest engine — hiy.ai"},{"url":"https://hiy.ai/channels","label":"Channels — page, live chat, product, inbox — hiy.ai"}]

    After: [{"url":"https://hiy.ai/","label":"AI support agent for your website, live in minutes — hiy.ai"},{"url":"https://hiy.ai/products","label":"Support Agent, Team Agent, Expert Twin — hiy.ai"},{"url":"https://hiy.ai/channels","label":"Channels — page, live chat, product, Inbox — hiy.ai"}]

    summary

    Before: "hiy.ai provides AI-powered support agents that answer customer questions using your product documentation with source citations and honest admissions of knowledge gaps. It offers three main products: Expert Twin for public expertise sharing, Support Agent for customer support on your site, and Team Agent for internal colleague support, all grounded in your own content."

    After: "hiy.ai offers an AI support agent platform that quickly creates AI-powered customer support agents by pasting a website URL. The agents answer customer questions with sourced citations, hand over complex queries to human teams, and learn from gaps in knowledge through a teach queue system."

    useCases

    Before: ["Customer support automation by answering questions on your product site with AI agents.","Internal knowledge sharing and support for colleagues using Team Agent."]

    After: ["Customer support automation answering repeat questions from product documentation on your own site."]

    walkthrough

    Before: ["A customer asks a question on your site in their own words.","The agent retrieves relevant passages from your documentation to answer the question.","The agent either provides a cited answer or admits it does not know, then hands off unanswered questions to your inbox for your team to respond."]

    After: ["Paste your website URL to create an AI support agent that reads your pages and documents.","The agent answers questions citing exact passages from your content.","Questions the agent cannot answer are queued for your team to teach it, improving future responses."]

  2. Updated: best for, export formats, features, integrations, limitations, platforms, summary, use cases, walkthrough

    See recorded changes
    bestFor

    Before: ["Coaches, consultants, and experts who want to create an AI twin of their expertise.","Product teams wanting to provide AI-powered customer support with transparent sourcing and human handoff."]

    After: ["Companies wanting AI-powered customer support agents that provide grounded answers with source citations and transparent handoffs to human support.","Experts, coaches, and consultants who want to create a public AI twin of their expertise for sharing with an audience."]

    exportFormats

    Before: []

    After: ["Exports conversation follow-ups and people lists as CSV files."]

    features

    Before: ["Answers with source citations attached for transparency.","Admits when it does not know an answer and offers handoff to a human team member.","Handoff of unanswered questions to your inbox with visitor's email attached.","Citations, honest 'I don't know' responses, AI disclosure label, and report link are included on every plan.","Import training data from blogs, YouTube, files, and pasted text."]

    After: ["Answers questions with source citations attached to each response.","Admits when it does not know an answer and offers to hand off the question to a human team member."]

    integrations

    Before: []

    After: ["Plans with Support and Team Agents include handoff emails to your inbox with visitor questions and contact info for human follow-up.","Future roadmap includes helpdesk and CRM integrations such as Intercom, Zendesk, and Zapier."]

    limitations

    Before: ["The Support Agent only answers visitors on your own site via a token minted by your server; it has no public URL.","The Team Agent is only accessible to invited colleagues by email; no login wall or public access exists."]

    After: []

    platforms

    Before: ["Hosted web page at hiy.ai, inline embed or floating bubble widget on your own website, and API integration."]

    After: ["Available as a hosted page, inline embed, floating bubble widget on your website, and via API with token authentication."]

    summary

    Before: "hiy.ai provides AI-powered support agents that answer questions from your product documentation with source citations and honest gap admissions. It offers three main products: Expert Twin for public expertise sharing, Support Agent for customer support on your site, and Team Agent for internal colleague support, all using the same engine with consistent rules."

    After: "hiy.ai provides AI-powered support agents that answer customer questions using your product documentation with source citations and honest admissions of knowledge gaps. It offers three main products: Expert Twin for public expertise sharing, Support Agent for customer support on your site, and Team Agent for internal colleague support, all grounded in your own content."

    useCases

    Before: ["Customer support automation using product documentation as source material.","Creating a public AI twin of an expert's knowledge for sharing expertise."]

    After: ["Customer support automation by answering questions on your product site with AI agents.","Internal knowledge sharing and support for colleagues using Team Agent."]

    walkthrough

    Before: []

    After: ["A customer asks a question on your site in their own words.","The agent retrieves relevant passages from your documentation to answer the question.","The agent either provides a cited answer or admits it does not know, then hands off unanswered questions to your inbox for your team to respond."]

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Sources & research

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