Training AI Personas: How to Build Bots That Feel Human

In 2025, it’s no longer enough for bots to just answer. They need to connect.

The future of AI communication lies in human-like personas — bots that respond naturally, carry context, and reflect your brand voice. Whether you’re building a WhatsApp assistant, a sales agent, or a support bot, the secret is in how you train your AI.

This guide walks you through the key steps to designing AI personas that feel real — and how to deploy them through Appgain’s WhatsApp API.

Why AI Personas Matter

Customers today can spot a generic bot from the first message. Robotic replies, inconsistent tone, or lack of context kill trust instantly.

AI personas solve that by giving your bots:

  • A distinct personality
  • Tone that matches your brand
  • Context memory to hold conversations
  • Natural fallback responses
  • The ability to learn and adapt over time

Step 1: Define the Role and Personality

Before you write a single prompt, ask:

  • Is this bot a sales agent, support rep, or onboarding guide?
  • Should it sound professional, friendly, witty, or calm?
  • What phrases, words, or emojis should it avoid or always use?

Example Persona Brief:

  • Name: Layla
  • Role: WhatsApp Sales Assistant
  • Tone: Friendly, helpful, not pushy
  • Traits: Uses customer name often, recommends based on behavior, never overpromises


Step 2: Create Prompt Templates

Prompts are what shape your AI’s behavior.

Instead of just saying:
“Send discount message.”

Use structured prompts like:
“You are a helpful sales assistant. Greet the customer by name, mention their interest in product X, and offer a limited-time 10% discount using natural language. Do not sound robotic or aggressive.”

Save different prompt templates for:

  • Product recommendation
  • Cart recovery
  • Lead qualification
  • Support replies
  • Follow-ups

Use tools like ChatGPT, Claude, or Hugging Face to test tone and consistency.

Step 3: Add Context and Memory

To make a bot feel human, it must remember what was said.

You can simulate memory in tools like:

  • ChatGPT with function calling or custom instructions
  • Hugging Face pipelines with history chaining
  • Flowise, LangChain, or vector databases for long-term context

Examples of context-aware behavior:

  • “You asked about size last time. Here’s a guide.”
  • “Just checking in — did the last offer work for you?”

Step 4: Design Smart Fallbacks

Not all questions will be covered.

To avoid cold responses like “I don’t understand,” design fallbacks like:

  • “Hmm, I’m not sure about that — but I can check with the team if you’d like.”
  • “Can I guide you to our support center for that?”
  • “Would you prefer to speak with a human agent now?”

Natural fallbacks preserve trust.

Step 5: Connect to WhatsApp via Appgain

Once your persona is ready, it’s time to deploy.

Using Appgain’s WhatsApp API and Automation Builder:

  • Plug your AI persona into message flows
  • Trigger the right prompt based on CRM data or user behavior
  • Send smart replies in real-time
  • Combine with buttons, rich media, and flows for full interaction

Example:
A customer abandons cart → AI bot checks last viewed items → sends friendly reminder with promo code → offers to answer product questions

Final Thoughts

Human-like AI isn’t just about tech — it’s about empathy, tone, and timing.

By designing AI personas with purpose and connecting them through Appgain, you create smarter, more natural conversations that convert.

Your bot doesn’t just reply — it represents your brand.

Ready to build a persona that sells, supports, and scales?
Visit appgain.io to get started.

Mastering Geolocation Push Notifications: Strategies for Engagement and Sales

Geolocation push notifications are useful tools for businesses. Not only do they help you connect with customers, but they also increase sales. In this article, we will explain what geolocation push notifications are and provide tips for success.

What Are Geolocation Push Notifications?

Geolocation push notifications send messages based on where a user is located. You can use them for various purposes, such as promotions, updates, or alerts. Furthermore, personalizing these messages makes them even more relevant to users.

There are two main types:

  1. Global Notifications: These notifications reach all subscribers, regardless of their location. Consequently, they work well for announcements that everyone should see.
  2. Location-Based Notifications: In contrast, these notifications target users in specific areas, such as a city. Therefore, they are especially effective for local offers or events.

Examples of Geolocation Push Notifications

Many brands successfully use geolocation push notifications. Here are a few examples:

  • Starbucks: For instance, they send reminders to help customers find the nearest store. As a result, this approach makes customers feel welcome.
  • Ritual: This app, on the other hand, offers discounts for local restaurants and sends messages at lunchtime. This timing maximizes engagement.
  • McDonald’s: Additionally, they provide discounts tied to local events, like sports wins. Thus, this strategy effectively grabs attention.
  • Hunter Boots: Furthermore, they send weather alerts to encourage purchases during bad weather. This can significantly increase sales during those times.

Best Practices for Geolocation Push Notifications

To create effective geolocation campaigns, follow these tips:

  • Encourage Users to Subscribe: First, invite users to opt in. Making the opt-in box on your website attractive is crucial for higher subscription rates.
  • Write Clear Messages: Next, keep your notifications simple. Use easy language that encourages users to act immediately.
  • Check and Improve Your Campaigns: Finally, regularly review how your notifications perform. Use this data to adjust your strategy. For example, A/B testing can help you find what works best.

Conclusion

In summary, geolocation push notifications can help businesses connect with customers and boost sales. By understanding how they work and following these tips, you can create effective campaigns. Therefore, explore the potential of geolocation push notifications and watch your business grow.Start now and discover how Appgain.io can be the perfect partner for your business growth

Thopify Move to Shopify – A Success Story with Appgain’s Tools

In today’s fast-changing digital world, e-commerce platforms like Thopify need to keep improving. Recently, Thopify move to Shopify (formerly Cancan Online) marked a significant shift as they switched from a PHP system to a powerful Shopify platform. This transition was crucial for Thopify to enhance user engagement and improve shopping experiences. Appgain led this change by using our AI and marketing tools. Here’s how we did it, and why Thopify move to Shopify was essential for their growth.

Why Thopify Needed to Change

Thopify is a popular online fashion store. However, they faced several challenges:

First, they struggled to grow their operations. Additionally, users were not engaged. Finally, they needed a more personalized shopping experience. To solve these problems, Thopify decided to move to Shopify. This platform offers faster performance, better security, and easy connections to helpful marketing tools. Therefore, the change was essential for Thopify move to Shopify.

How Appgain Helped Thopify

At Appgain, we aim to help businesses grow. Thus, we followed key steps to transform Thopify using our knowledge in AI marketing and custom development.

Moving from PHP to Shopify
First, we shifted Thopify backend from PHP to Shopify. This change brought many benefits:
As a result, Thopify became faster and easier to grow. Moreover, it allowed simple integration with marketing tools like Appgain’s Marketing SDK. Additionally, security was improved, making shopping safer for users.

Adding Appgain Marketing SDK
Next, we added the Appgain Marketing SDK to Thopify Shopify platform. This provided important benefits:
For instance, personalized push notifications and in-app messages kept users interested. In addition, user segmentation allowed for targeted campaigns based on behavior. Also, deep linking directed users to specific content, which improved conversion rates. Finally, automated marketing campaigns helped recover abandoned carts, leading to more sales.

Integrating MirrorSize SDK
Furthermore, we added the MirrorSize SDK to Thopify app. This feature allows users to:
Specifically, take body measurements using their smartphones. In addition, they receive size recommendations, which reduces returns. As a result, users enjoy a smoother shopping experience based on their body size.

Creating a Custom Fashion Builder App
Lastly, we developed a custom fashion builder app for Thopify. This app lets users:
Easily customize clothing designs to match their preferences. Moreover, they can select sizes, colors, and other features. Thus, they have a more engaging shopping experience overall.

The Results of Thopify’s Change

The changes at Thopify led to great results:
For example, user engagement increased. The Appgain Marketing SDK boosted click rates on notifications, leading to more user interaction. Additionally, there were fewer returns. Thanks to the MirrorSize SDK, users chose the right sizes, resulting in happier customers. Moreover, faster product launches became possible. With Shopify’s help, Thopify could introduce new products quickly. Overall, the custom fashion builder app made shopping more interactive and personal.

Conclusion: A New Chapter for Thopify

In summary, the change from Cancan Online to Thopify shows how digital transformation can help a business grow. By using Appgain’s Marketing SDK, AI technology, and custom development, Thopify move to Shopify can now provide a better shopping experience. Ultimately, this project demonstrates how Appgain’s solutions can help any e-commerce platform succeed.