How do I build my first AI agent?

Building an AI agent in AskHandle starts with one simple question:

What should this AI agent help people do?

You do not need to start with a complex workflow.

A good first AI agent usually begins with one clear job, such as:

• Answer customer questions
• Help visitors find the right product or service
• Qualify leads
• Collect customer information
• Search documents
• Search structured data
• Calculate an estimate
• Book appointments
• Transfer conversations to your team

Once the main job is clear, you can choose the nodes, knowledge, and skills that support it.

1. Define the job first

Before adding nodes, write down the main outcome you want.

For example:

Answer common customer questions and help people book a consultation.

or:

Help customers find products, check prices, and hand complex requests to the sales team.

or:

Answer questions from our policy documents and collect support details when a customer needs help.

A clear job makes the rest of the setup easier.

2. Keep the first version simple

You do not need every capability in your first workflow.

Start with the smallest setup that can complete the main job.

For example:

Start → AI Answer

may be enough for a simple conversational agent.

A knowledge-focused agent might use:

Start → Document Search

A structured lookup workflow might use:

Start → Data Search

A more advanced agent can add Router, AI Form, Scheduling, Calculations, Human Handoff, and other capabilities later.

3. Choose the right nodes

Each AskHandle node has a specific purpose.

Use:

• AI Answer for conversational responses, instructions, and AI skills
• Document Search for written knowledge
• Data Search for structured information
• AI Form for collecting several pieces of information
• Question for collecting one answer
• Message for sending a fixed message
• Router for sending different requests to different paths
• Human Handoff when a person should take over

You can combine these nodes in the same AI agent.

4. Add only the knowledge the agent needs

Think about where your information should live.

Use AI Answer for:

• Instructions
• Behavior
• Short guidance
• Business rules

Use Document Search for:

• Policies
• FAQs
• Manuals
• Guides
• Written documentation

Use Data Search for:

• Prices
• Inventory
• Product records
• Lookup tables
• Structured business data

Keeping information in the right place makes the AI agent easier to maintain.

5. Write clear AI Instructions

AI Instructions tell the agent how to behave.

A good instruction set usually covers:

• The agent's role
• What it should help with
• What it should not do
• Important business rules
• When to ask follow-up questions
• When to use an enabled skill
• When to use Human Handoff
• The preferred tone and response style

For example:

Help customers understand our services and guide them to the right next step. Keep responses concise. Do not guess missing information. If the customer asks to speak with someone, use Human Handoff.

Keep instructions focused on behavior rather than storing large amounts of business content.

6. Add skills when the agent needs to take action

AI Answer can use skills for tasks beyond answering questions.

Depending on your setup, you can enable capabilities such as:

• Live Web Search
• Calculations
• Scheduling
• Send Email
• Product Cards
• Image Answers
• Albums

Only enable the skills that support the job of that AI Answer node.

For example, a service business might use:

AI Answer with Calculations and Scheduling enabled

A hotel concierge might use:

AI Answer with Live Web Search, Scheduling, and Image Answers enabled

7. Add Router when the agent has several different jobs

You may not need Router for a simple AI agent.

Add Router when customers can enter the conversation with different types of requests that should follow different paths.

For example:

Pricing question
→ Data Search

Policy question
→ Document Search

Book an appointment
→ AI Answer with Scheduling enabled

Speak to someone
→ Human Handoff

Router helps organize a more complex agent into clear responsibilities.

8. Use AI Form when you need structured intake

Use AI Form when the workflow needs several pieces of information from the customer.

For example:

• Name
• Email
• Location
• Service needed
• Preferred date

AI Form asks the questions one by one and saves the answers.

This is useful for:

• Lead qualification
• Quote requests
• Applications
• Support intake
• Service requests
• Customer onboarding

Use a Question node instead when you only need one specific answer.

9. Add Human Handoff where a person is still needed

Not every conversation should stay fully automated.

Use Human Handoff when:

• The customer asks for a person
• The issue needs human judgment
• Your team must review the case
• The AI agent cannot complete the request
• The workflow requires human involvement

A good workflow can collect useful information before the handoff.

For example:

Router → AI Form → Human Handoff

The customer reaches your team with the relevant context already collected.

10. Think about the customer's path

Do not only look at the workflow as connected nodes.

Think about what the customer experiences.

For example:

1. What does the customer ask first?
2. What should the AI agent understand?
3. Does it already have the information needed?
4. Does it need to ask a question?
5. Does it need to search a document or dataset?
6. Does it need to perform an action?
7. What should happen next?

The best workflows feel simple to the customer even when several capabilities are working behind the scenes.

Example: simple customer support agent

A basic support AI agent might use:

Start → AI Answer

AI Answer can:

• Answer common questions
• Explain services
• Follow support instructions
• Guide the customer

If the agent later needs detailed policy knowledge, you might add Document Search.

If it needs human escalation, add Human Handoff.

Example: service business

A service business might build:

Start → Router

Then:

Service questions
→ AI Answer

Estimate request
→ AI Answer with Calculations enabled

Appointment request
→ AI Answer with Scheduling enabled

Complex issue
→ Human Handoff

This lets one AI agent handle several related customer needs.

Example: product discovery

A product-focused agent might use:

Start → Router

Then:

Product search
→ Data Search

Recommendation questions
→ AI Answer

Product display
→ AI Answer with Product Cards enabled

Speak to sales
→ Human Handoff

The structured data provides exact product information while AI Answer handles the conversation.

Example: knowledge-based support

A support workflow might use:

Start → Router

Then:

Policy or documentation question
→ Document Search

Structured account or product lookup
→ Data Search

Support intake
→ AI Form

Needs a person
→ Human Handoff

Each node handles the type of information it is best suited for.

11. Test the full workflow

Before publishing, test the AI agent from the beginning.

Try:

• The most common customer request
• Different ways of asking the same thing
• Missing information
• Incorrect information
• An unrelated request
• A request that should trigger a skill
• A request that should trigger Human Handoff

If Router is used, test every path.

If Data Search or Document Search is used, verify the returned information against the source.

If Calculations are used, compare the result with a known correct example.

If Scheduling is used, compare the offered times with real calendar availability.

12. Test the customer experience

The workflow can technically work and still feel difficult to use.

Check:

• Are responses concise enough?
• Does the agent ask unnecessary questions?
• Does it repeat information?
• Does it explain the next step clearly?
• Does the customer get stuck anywhere?
• Does the conversation feel natural?

Simplify the workflow if extra steps are not adding value.

13. Save your work while building

You can continue adjusting the agent while it is still being configured.

Use the draft version while you:

• Change instructions
• Add or remove nodes
• Update knowledge
• Adjust routing
• Configure skills
• Test different customer paths

Do not publish changes until you are comfortable with the new version.

14. Publish when the agent is ready

When your testing is complete, publish the latest version.

Publishing makes the current configuration available to the channels using that AI agent.

Before publishing, confirm that:

• The correct workflow is connected
• The latest instructions are saved
• Files and data are ready
• Skills are configured
• Important routes have been tested
• Human Handoff works where required

Start small and expand

Your first version does not need to handle every possible request.

It is usually better to launch with a smaller workflow that performs a few jobs reliably.

Then expand it as you learn what customers actually ask.

You might begin with:

Start → AI Answer

and later add:

• Document Search
• Data Search
• Router
• AI Form
• Calculations
• Scheduling
• Human Handoff

Build complexity only when it solves a real customer or business need.

A simple first-agent checklist

Before you start:

• Define the main job
• Identify the information the agent needs
• Choose the appropriate nodes
• Write the AI Instructions
• Add only the skills the agent needs
• Add routing only if there are multiple paths
• Add structured intake where necessary
• Add Human Handoff where a person may be needed
• Test the complete customer journey
• Publish only after the important paths work correctly

Related guides

For more information, see:

• Which AskHandle node should I use?
• Should I use AI Answer, Document Search, or Data Search?
• How should I write AI Instructions?
• What are AI Answer skills?
• How should I test my AI agent before publishing?
• How does Live Web Search work?
• How do Calculations work?
• How does Scheduling work?