Best practices
Embedding an agent
1. Ensure responsiveness for mobile devices
To guarantee optimal responsiveness and prevent the agent UI text from appearing too small on mobile devices, include the following HTML tag within the<head>
section of your webpage:
2. Control embedded agent UI dimensions
You can manage the size and position of the agent UI by passing parameters to its style attribute. If necessary, you can also wrap the<mindset-agent>
tag within a parent <div>
container.
For example:
3. Customize embedded agent UI appearance
The<mindset-agent>
tag allows for customization of the following:
- Agent UI Width
- Agent UI Height
- Agent UI Background Color: This is only visible for a few milliseconds while the UI loads completely.
4. Agent UI responsiveness for Videos and Segments
The agent UI is designed to be responsive and will adjust content based on the viewer’s screen size. When video content is played, a “Segment” area allows users to navigate between video segments. The display of the segment area depends on the screen width:- Right of the video: If the screen width is greater than 1056px.

- Below the video: If the screen width is less than 1056px.

5. Sample code for embedding an agent in a Single Page Application
Below, a sample React component that embeds a Mindset agent:6. Embedding an agent in an IFRAME and voice to text feature
In case you embed the agent in an IFRAME, you will have to ensure that the IFRAME has theallow="microphone www.yourweburl.com"
attribute set, so the voice to text feature works properly under SAFARI browser.
Agent access control
1. Agent access granted by Agent Sessions
If you embed your agents and provision the knowledge context through the agent Sessions mechanism and APIs, you have the full control over agents’ access. For example, as seen in the tutorial, when you create anAgentSession
:
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for the user user-x123456
(remember that the externalUserId
is also passed to the embed agent SDK via the SDK Users auth API, so the Mindset system recognizes the user accordingly)
In the Agent settings (Mindset app admin), there is an Access tab where two types of access can be set:
- Open access - all app users
- Restricted Access - only users with specified account membership

2. Agent access granted by Account membership
Without the agent sessions mechanism, agents access is managed via the SDK users API. When creating the user session (see authentication), you can specify theaccountUids
to which the user should be added. This is done by passing the accountUids
array in the request body:
accountUids
are provided, the user will be granted to use the agent only if the agent settings are :
- Open access - all app users
- Restricted Access with one of the account selected (
accountUid1
,accountUid2
).
Agent creation
1. Provide clear purpose
✅ Good - specific and actionable
purpose: “Answer questions about our e-commerce platform, help with order tracking, and provide product recommendations”❌ Avoid - a vague
purpose: “Help customers”
Why Agent Purpose Matters
Thepurpose
field is critical because it defines the agent’s intended role and objectives. A well-defined purpose not only guides the agent’s behavior but also enables future analysis of its conversations to determine if it is achieving its intended outcomes. When the purpose is specific and measurable, you can assess the agent’s effectiveness and make improvements based on real-world interactions.
Characteristics of a Good Agent Purpose
- Specific: Clearly states what the agent should do.
- Measurable: Enables evaluation of whether the agent is fulfilling its role.
- Actionable: Describes tasks or goals the agent can realistically achieve.
Examples of Good Agent Purposes
Example Purpose | Why It’s Good |
---|---|
Answer questions about our e-commerce platform, help with order tracking, and provide product recommendations | Specific tasks and measurable outcomes for the agent |
Assist users with technical troubleshooting and software issues for our SaaS platform | Clearly defines the scope (technical support) and the target audience (SaaS users) |
Guide new employees through onboarding, explain company policies, and answer HR-related questions | Actionable, focused on onboarding and HR, with clear objectives |
Help customers find the right insurance products, explain coverage options, and provide policy information | Outlines the agent’s role in product guidance and customer education |
Support students with homework questions in math and science, and provide step-by-step explanations | Specifies subject areas and the type of help (step-by-step explanations) the agent should provide |
2. Define Personality Traits
✅ Good - specific personality traits
personality: “Professional yet approachable, uses positive language, shows empathy for customer concerns”❌ Avoid - generic descriptions
personality: “Nice and helpful”
Personality examples
Below are the available personality types you can use for your agent’spersonality
field:
Name | Description | Example Personality Field |
---|---|---|
Friendly & Empathetic | For learning, coaching, and onboarding use cases. This personality is warm, understanding, and supportive. | "You are friendly, empathetic, and supportive. Respond in a warm, understanding, and conversational manner, ensuring users feel heard and valued. Use positive language and provide encouragement whenever possible." |
Professional & Knowledgeable | For professional writing or giving important responses. This personality is confident and authoritative. | "You are professional, knowledgeable, and confident. Respond in a clear, concise, and accurate manner, ensuring information is reliable and authoritative. Maintain a formal tone and provide well-structured responses." |
Insightful & Analytical | For problem solving, ideation, and research use cases. This personality is detail-oriented, analytical, and data-driven. | "You are insightful, analytical, and thoughtful. Respond in a detailed, evidence-based manner, providing in-depth analysis and data to support your answers. Focus on accuracy and thoroughness in your explanations." |
Strict & Precise | For answering important questions, guidelines, or procedures such as compliance or drafting formal documents. This personality is firm, concise, and meticulous. | "You are strict, precise, and rule-focused. Respond in a firm, meticulous manner, ensuring all responses adhere to established guidelines and policies. Maintain a formal and authoritative tone, and prioritize accuracy and compliance." |
Custom Personality | Define the personality for this agent. | (Provide your own custom description and prompt.) |
3. Specify Clear Formatting Rules
✅ Good - detailed formatting instructions
formatting: “Use numbered lists for multi-step processes, bullet points for options, and bold text for important warnings”❌ Avoid - vague formatting: “Be clear”
Formatting examples
Below are the available formatting types you can use for your agent’sformatting
field:
Name | Formatting Field |
---|---|
Conversational | "Use a friendly, conversational tone with short paragraphs. Avoid using numbered lists or bullet points. Instead, write in a way that flows naturally, as if you were speaking with the user. Example: Hi there! 😊 How can I help you today?" |
Structured | "Keep paragraphs short and use limited emojis and bullet points. Use GitHub markdown. Example: - Item 1 - Item 2 - Item 3" |
Storytelling | "Use vivid descriptions, metaphors, and anecdotes. Write in a way that paints a picture in the reader's mind and draws them into the story. Avoid using bullet points and lists. Example: Imagine you're launching a new product. The excitement in the air is palpable as the team gathers around, each person contributing their unique skills. The campaign's visuals are like vibrant strokes on a canvas, each one telling a part of the brand's story. Suddenly, the data starts pouring in, showing a wave of interest from eager customers, each click a testament to the hard work and creativity invested..." |
Technical | "Use tables, block quotes, and inline code. Use GitHub markdown. Put code in codeblocks." |
4. Set Appropriate Policies
✅ Good - specific boundaries the LLM can implement
policy: “Never provide medical advice or health recommendations. Always direct users to consult healthcare professionals.”✅ Good - content restrictions the LLM can follow
policy: “Do not mention or compare with products from companies such as Google, Microsoft, or Amazon. Only discuss and provide information about our company’s (ACME Corp) solutions.”❌ Avoid - requires external actions the LLM cannot perform
policy: “Escalate complex issues to human agents”
Effective Policy Examples
Thepolicy
field should contain rules that the LLM can implement through its responses. Here are examples of effective policies:
Effective Policy Examples
Category | Description | Example Policy |
---|---|---|
Content Restrictions | Restrict certain topics | "Do not provide investment advice, tax guidance, or legal counsel. Direct users to qualified professionals for these topics." |
Content Restrictions | Limit scope to company products | "Only discuss our company's products and services. Do not make comparisons with or recommendations about competitor products." |
Response Guidelines | Require disclaimers | "Always include a disclaimer when providing technical instructions: 'Please backup your data before making any system changes.'" |
Response Guidelines | Set boundaries on advice | "Provide general guidance only. For account-specific issues, direct users to log into their account or contact support directly." |
Safety and Compliance | Prevent harmful content | "Never provide instructions that could be used to harm systems, bypass security, or violate terms of service." |
Safety and Compliance | Maintain professional boundaries | "Keep all conversations professional and on-topic. Do not engage in personal discussions unrelated to business needs." |
Information Handling | Protect sensitive information | "Never ask for or process personal information like passwords, social security numbers, or payment details in conversations." |
Information Handling | Source attribution | "When providing information from documentation, always reference the source and suggest users verify details in the latest official documentation." |
Limitations
1. Single agent per page
Our current implementation still limits the number of agents per page to one. We are working to remove this limitation and will let you know as soon as it is lifted.2. Supported Google fonts
When using a google font for customizing the agent UI, we do not support 100% of the Google fonts available in that offical list: Google Fonts. We support most of them, but to ensure the font you want to use is supported, please check that Font list: Supported Google Fonts. The font name to use in thefontFamily
parameter must be the font name displayed in that Google fonts list.
For example: