# Aihio core features

URL: https://aihio.ai/en/help/features/overview\
Description: Build an AI agent from your own information, publish a chat widget and improve your service using conversations.

An AI agent answers customer questions using the information and instructions you provide. The chat widget is the interface visitors see on your website. Keeping these concepts separate makes both setup and troubleshooting easier.

## Build, test and improve

1. **Give the agent a task and information**

   Choose one purpose, such as answering product questions. Add current
   sources, update the knowledge base and describe the boundaries in
   instructions.
2. **Try your customers' questions**

   Test a familiar question and one the sources cannot answer in a preview
   conversation. Check the answer and any action's result. Test messages use
   message credits.
3. **Customize and publish**

   Set the appearance and welcome message, activate the agent and install the
   widget on your website. Check it on a phone too.
4. **Improve based on what you find**

   Read conversations and review unanswered questions. Correct the source or
   instruction, retest and agree who maintains the information.

## Information and response style

The **knowledge base** supplies information for answers. You can add websites, files, questions and answers, and text. A source's search test helps you check whether the necessary information can be found before testing a full conversation.

**Instructions** define the agent's task, response style and boundaries. Templates provide an editable starting point; version history helps you return to earlier instruction text. The model and reply-language settings affect how the agent generates an answer.

- [Add and review data sources](/en/help/ai-agent/knowledge) — Choose a source format, publish changes and test information retrieval.
- [Define the task and response style](/en/help/ai-agent/instructions) — Start from a template, edit instructions and check their effect.

## Chat widget and deployment

The agent's **Overview** brings together its model, data sources, instructions and operating status. **Appearance** contains the widget's visible settings. The preview alongside them helps you try changes.

Install a floating widget, embed a conversation within a page or use the WordPress plugin. Operating status and installation are separate: adding code to a website does not activate a draft agent.

- [Get to know the agent workspace](/en/help/ai-agent/create-chatbot) — Create an agent and find the views for everyday work.
- [Customize the chat widget](/en/help/ai-agent/appearance) — Set its identity, colors, welcome message and conversation starters.
- [Publish on your website](/en/help/ai-agent/publish) — Choose an installation method and check it on the actual site.

## Contact requests, human support and actions

**Lead collection** offers a contact form in the situation you describe, such as a demo request. **Contacts** gathers captured details in a shared workspace view where you can search, filter and track follow-up status.

**Human support** lets a visitor request a support agent in the same conversation. When the team is unavailable, visitors can leave a message. Configure availability and agree how to handle requests before enabling it.

A **custom HTTP action** calls the HTTPS API you configure. For example, checking an order's status requires a working API and its configuration; a promise written in instructions does not connect a system.

- [Capture a contact request](/en/help/ai-agent/lead-collection) — Define the purpose and verify submission and storage of the form.
- [Enable human support](/en/help/ai-agent/human-support) — Test a live conversation and leaving a message while the team is away.
- [Connect your own API](/en/help/ai-agent/actions) — Developer instructions for configuring a custom HTTP action.

## Monitoring and workspace management

| Task                   | What it helps you do                                                | Guide                                                               |
| ---------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------- |
| Conversation review    | Find outdated information and correct recurring answer gaps.        | [Conversations and answer quality](/en/help/ai-agent/conversations) |
| Analytics              | Review coverage and response quality to choose the next correction. | [Monitor and improve the agent](/en/help/ai-agent/analytics)        |
| Contact management     | Pass a captured request to your team's follow-up process.           | [Contacts](/en/help/account/contacts)                               |
| Workspace and members  | Check the workspace, roles and notification settings.               | [Account settings](/en/help/account/settings)                       |
| Usage and subscription | Monitor message credits, knowledge size and capacity.               | [Usage and limits](/en/help/billing/usage)                          |

## Core features

| Concept          | What it is for                                                       | Continue here                                     |
| ---------------- | -------------------------------------------------------------------- | ------------------------------------------------- |
| Knowledge source | One web page, file, question and answer, or text source              | [Data sources](/en/help/ai-agent/knowledge)       |
| Knowledge base   | The published content used to support the agent's answers            | [Updating knowledge](/en/help/ai-agent/knowledge) |
| Instructions     | The agent's task, boundaries and response to missing information     | [Agent settings](/en/help/ai-agent/settings)      |
| Chat widget      | Appearance, visible text and the interface installed on your website | [Publishing](/en/help/ai-agent/publish)           |
| Workspace        | Your organisation's agents, members and permissions                  | [Account settings](/en/help/account/settings)     |

Adding a source does not train the underlying language model. The agent retrieves knowledge to support its answer. Sources and instructions still do not guarantee that every answer is correct.

## Choose the next task

- Getting started: [build your first agent](/en/help/get-started/create-first-chatbot).
- Information changed: [update the source and knowledge base](/en/help/ai-agent/knowledge).
- Answers are ready: [install the conversation on your website](/en/help/ai-agent/publish).
- Need a programmatic connection: [explore custom HTTP actions](/en/help/ai-agent/actions).

## Availability

Available features and limits depend on the workspace subscription. Check the current options on [pricing](/en/pricing) and in Oma Aihio. A connection marked as coming soon is not ready to set up.

- [Response settings](/en/help/ai-agent/response-settings) — Choose a model, reply length and a useful fallback answer.
- [Safety](/en/help/ai-agent/safety) — Test guardrails, domain restrictions and customer-data handling.
## Next steps

- [Publish your first AI agent](/en/help/get-started/create-first-chatbot) — Create an agent, add a source and verify its first answer on your website.