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agents/agent-gallery/social-media-intern.mdx

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## Example conversation
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![](/images/agents/agent-gallery/social-media-intern.png)
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![Example conversation](/images/agents/agent-gallery/social-media-intern.png)

agents/connections.mdx

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production-ready code"
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---
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# Connections
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**Connections** enable Hypermode Agents to securely access and interact with
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external tools, APIs, and services. With over 2,000+ available integrations,
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agents can execute tasks across your entire technology stack.
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provide the bridge between your agents and the tools they need to complete
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tasks, from internal APIs to third-party applications and public resources.
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## Key Features
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## Key features
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<CardGroup cols={2}>
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<Card title="2,000+ Integrations" icon="plug">
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</Card>
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</CardGroup>
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## How Connections Work
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## How connections work
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### Domain-Specific Tool Assignment
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### Domain-specific tool assignment
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Rather than providing agents with access to all available tools, Connections
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uses a curated approach based on the agent's role and domain:
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- Google Analytics (website analytics)
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- Mailchimp (email marketing)
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### Role-Based Access Control
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### Role-based access control
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<Info>
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Agents are granted access only to tools that align with their designated role,
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Connections leverage the Model Context Protocol to provide agents with enhanced
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tool interaction capabilities:
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### Structured Tool Definitions
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### Structured tool definitions
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### Benefits of MCP Integration
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</Card>
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</CardGroup>
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## Security and Compliance
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## Security and compliance
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<Warning>
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All connections use secure authentication methods including OAuth 2.0, API
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keys, and service account credentials. Credentials are encrypted and never
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exposed to the agent's reasoning process.
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</Warning>
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### Security Features
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### Security features
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- **Encrypted credential storage** with enterprise-grade security
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- **Audit logging** for all tool interactions
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- **Permission scoping** to limit access to necessary resources only
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- **Regular security updates** and compliance monitoring
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## Getting Started
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## Getting started
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## Add a new Connections
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### Add a new connection
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![](/images/agents/connections-sidebar.png)
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![Add a new connection](/images/agents/connections-sidebar.png)
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## Manage connections
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### Manage connections
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![](/images/agents/connections-manage.png)
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![Manage connections](/images/agents/connections-manage.png)
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<Tip>
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Start with a small set of essential tools for your agent's role, then expand

agents/create-agent.mdx

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---
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Creating an Agent is simple and can be done using the built-in Hypermode
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Concierge agent or by specifying the agent's role and intructions yourself.
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Concierge agent or by specifying the agent's role and instructions yourself.
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## Build a new agent with Concierge
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![](/images/agents/concierge.png)
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![Hypermode Concierge agent](/images/agents/concierge.png)
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**Concierge** is Hypermode's AI-powered agent builder that transforms natural
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language descriptions into fully functional agents. No coding experience
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required.
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**Concierge** is Hypermode's AI-powered agent that transforms natural language
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descriptions into fully functional agents. No coding experience required.
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### Overview
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<Step title="Start a new thread with Concierge">
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![](/images/agents/concierge1.png)
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![Start a new thread with Concierge](/images/agents/concierge1.png)
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</Step>
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<Step title="Describe your agent requirements">
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![](/images/agents/concierge2.png)
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![Describe your agent requirements](/images/agents/concierge2.png)
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<Tip></Tip>
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</Step>
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<Step title="Refine your agent description">
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![](/images/agents/concierge3.png)
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![Refine your agent description](/images/agents/concierge3.png)
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</Step>
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<Step title="Enable connections and start working with your agent">
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![](/images/agents/concierge4.png)
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![Enable connections and start working with your agent](/images/agents/concierge4.png)
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</Step>
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- **Semantic clarity** in instructions and objectives
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- **Automated optimization** based on best practices
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## Create an Agent Manually
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## Create an agent manually
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<Tip>TODO: tip on creating an agent manually</Tip>
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<Steps>
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<Step title="Create new agent">
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![](/images/agents/manual-create-1.png)
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![Create new agent](/images/agents/manual-create-1.png)
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</Step>
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<Step title="Describe your agent">
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![](/images/agents/manual-create-2.png)
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![Describe your agent](/images/agents/manual-create-2.png)
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Choose a name, title, and description for your agent. An agent avatar is
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generated
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<Step title="Add your agent instructions">
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![](/images/agents/manual-create-3.png)
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![Add your agent instructions](/images/agents/manual-create-3.png)
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<Tip>TODO: tips for writing agent instructions</Tip>
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</Step>
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<Step title="Select your agent's model">
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![](/images/agents/manual-create-5.png)
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![Select your agent's model](/images/agents/manual-create-5.png)
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</Step>
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<Step title="Enable connections and start working with your agent">
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![](/images/agents/manual-create-4.png)
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![Enable connections and start working with your agent](/images/agents/manual-create-4.png)
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</Step>
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agents/faq.mdx

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**What if the agent doesn't work as expected?**
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You can change your instructions and test again. It’s normal to adjust and
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You can change your instructions and test again. It is normal to adjust and
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improve your agent over time.
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**What's a system prompt?**
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A system prompt is a set of written instructions that guides the overall agents
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actions and responses. Think of this as defining your agents personality and
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A system prompt is a set of written instructions that guides the overall agent's
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actions and responses. Think of this as defining your agent's personality and
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capabilities.
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**What about information security?**
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## Tips for training your agents
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- **Give explicit instructions**
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- Example: "Any time you post a message via the Slack tool on my behalf,
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prepend your message with: 'Hypermode Agent Mr.Robot:' but only do that when
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you post in Slack. Make sure not to do so when just responding to me.'"
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- Example: "Any time you post a message via the Slack tool on behalf of the
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user, prepend your message with: 'Hypermode Agent Mr. Robot:' but only do
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that when you post in Slack. Make sure not to do so when just responding to
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the user."
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- **Set clear boundaries**
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- Example: "Only answer questions related to the Hypermode Agents. If asked
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about other products, politely decline."
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- **Specify output format**
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- Example: Respond using numbered steps for instructions, and use bullet
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points for lists.
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- Example: "Respond using numbered steps for instructions, and use bullet
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points for lists."
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- **Provide example interactions**
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- Example:
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- User: "How do I reset my password?"
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- User: "How to reset the password?"
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- Agent: "1. Go to the login page. 2. Click 'Forgot Password'. 3. Follow the
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instructions sent to your email."
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- **Define tone and style**
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- Example: Use a friendly and professional tone. Keep responses under 100
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words unless more detail is requested.
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- Example: "Use a friendly and professional tone. Keep responses under 100
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words unless more detail is requested."
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- **Anticipate common questions**
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- Example: If a user asks about pricing, direct them to the pricing page and
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offer to connect them with sales.
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- Example: "If a user asks about pricing, direct them to the pricing page and
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offer to connect them with sales."
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- **Tell the agent what not to do**
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- Example: Don't provide legal or medical advice. Don't make up information
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if you are unsure.
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- Example: "Don't provide legal or medical advice. Don't make up information
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if you are unsure."
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- **Test and revise**
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- After writing your prompt, test it with sample requests. If the agents
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- After writing your prompt, test it with sample requests. If the agent's
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responses are off-target, revise your instructions to be even more specific.

agents/introduction.mdx

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Platform, Hypermode Agents enables you to get started building domain specific
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agents from natural language.
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![](/images/agents/threads.png)
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![Hypermode Agents](/images/agents/threads.png)
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- **Concierge** is a production-grade infrastructure that hosts and scales your
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agents, whether they came from Threads or Modus.

agents/tasks.mdx

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Once you've interacted with your agent through a thread and your agent has
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completed a specific activity - such as creating a recommended playlist,
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updating your calendar, or genearating a research report - you can save that
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updating your calendar, or generating a research report - you can save that
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activity as a task by selecting the "Create task" button.
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This turns the thread into a repeatable task that you can use later to automate
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![](/images/agents/create-task.png)
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![Create task](/images/agents/create-task.png)
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## Use tasks
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agents/work.mdx

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```
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# General Guidance:
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### General guidance
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- **Start simple:** Begin with a basic use case or workflow. Don’t try to build
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- **Start simple:** Begin with a basic use case or workflow. Don’t try to build
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a complex agent right away—get comfortable with the basics first.
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- You’re going to need to learn to speak “agent.” You’ll find some phrases are
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obvious to you but very ambiguous to an agent. The more you use Hypermode,
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the more it will become natural.
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- **Define clear goals:** Know what you want your agent to accomplish. Write
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the more it becomes natural.
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- **Define clear goals:** Know what you want your agent to accomplish. Write
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down the specific tasks or problems you want the agent to solve.
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- e.g., “goal: update the hero text on my website… “ then going into the rest
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of your instructions.
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- **Understand inputs/outputs:** Learn what information (inputs) your agent
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needs and what kind of results (outputs) it will produce.
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- For example, "goal: update the hero text on the website" then going into the
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rest of your instructions.
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- **Understand inputs/outputs:** Learn what information (inputs) your agent
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needs and what kind of results (outputs) to produce.
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- Click to expand the tool calls you see streaming by as your agent works.
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Start to build an intuition around how your agent is executing work.
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- **Use step-by-step instructions:** Break down tasks into small, logical steps.
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- **Use step-by-step instructions:** Break down tasks into small, logical steps.
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Agents perform best when instructions are clear and sequential.
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- **Use check steps:** Frequently request an agent to check its work and
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verify that specific steps are completed. Todays AI is very eager to please,
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- **Use check steps:** Frequently request an agent to check its work and verify
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that specific steps are completed. Today's AI is very eager to please,
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unfortunately that means it lies frequently about tasks being completed. Ask
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it to double check that specific actions have been taken.
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