As Large Language Models evolve, so does the way we interact with them. One of the most fascinating applications is Persona Simulation—making AI respond as if it were someone else.

Recently, I worked on a project where I built a Persona Bot that mimics the speech style, tone, and personality of two popular tech influencers: Hitesh Choudhary and Piyush Garg. The experience taught me much more than just coding—it revealed the depth of prompt design, the power of research, and the importance of subtle realism.

Here’s what I built—and what I learned.

🤖 What is the Persona Bot?

The goal was simple yet impactful:

Allow users to select a persona and engage in natural conversations, just as they would in real life.

The bot supports:

A front-end interface with cards to choose between Hitesh and Piyush
Dynamic system prompts tailored to their speaking styles
Chat UI powered by OpenAI’s API
Real-time streaming responses (optional upgrade)

Each response from the bot feels contextual, consistent, and tailored to the personality selected.

📚 What I Learned Building This

1. 🗺️ Define Steps Before You Write Code

Before I even wrote a single line of Python, I sat down and mapped:

What happens when a user clicks on a persona?
How does the bot remember who it’s mimicking?
Where does the chat logic live?

This pre-development blueprinting saved hours in debugging and helped ensure a smooth user flow.

🔍 Tip: If you’re building any kind of interactive agent, make a clear step-by-step plan before diving in.

2. 🧑‍💼 Research the Persona Deeply

You can’t simulate someone unless you understand them.

I spent time watching YouTube videos, reading LinkedIn posts, and analyzing how Hitesh and Piyush typically:

Greet their audience
Structure their thoughts
Use common catchphrases or tone markers

This research helped me extract key traits, such as:

Hitesh’s motivational tone and use of Hindi-English mix
Piyush’s teaching-first attitude and clear structuring of concepts

3. 🧾 Prompt Engineering Makes or Breaks the Illusion

Your system prompt is your director’s note to the AI.

Instead of just saying:

“Behave like Hitesh Choudhary”

…I wrote:

“You are Hitesh Choudhary, an educator and motivational speaker known for mixing Hindi and English in your conversations. Your responses are energetic, insightful, and encouraging. You often use phrases like ‘my friend’, ‘let’s crack it’, and emphasize self-learning…”

And gave it specific examples.

With this, responses instantly became more realistic and consistent.

4. 💬 Give Signature Phrases and Examples

What brings a persona to life?

Quirks. Habits. Signature lines.

I added lines like:

For Hitesh: “Acha kaam karna hai, toh mehnat karni padegi, my friend.”
For Piyush: “Always break down the problem first, then go step by step.”

These little things made the bot sound alive, not just smart.

Finally

Creating a Persona Bot was more than a coding experiment—it was a lesson in empathy, behavior modeling, and precision.

It taught me to:

Think like a user
Write like a storyteller
Prompt like a designer
Build like a developer

Building a Persona Bot: Lessons from Simulating Hitesh Choudhary & Piyush Garg