h&h it is again!

SECTION 1: Welcome to the AI Moment (5 mins)

Slide 1: Title Slide

"AI: The Assistant You Didn't Know You Already Use"

Subtitle: Making Sense of AI for Everyday Work

Slide 2: Icebreaker

Prompt: "Raise your hand if you've used ChatGPT, Google Maps, Zomato, or Instagram Reels this week."

Visual: Icons of common apps

Slide 3: Agenda

What is AI?

Where is it in your life already?

What can it do in your work?

What’s possible today

SECTION 2: The World of AI – Foundations to Agents (15 mins)

Slide 4: What is AI?

Simple, friendly definition

“AI = a system that learns, predicts, and helps you act faster”

Slide 5: AI vs Data Science vs ML vs LLM vs AI Agents

A layered diagram or staircase model:

Data Science (what happened?)

ML (what will happen?)

LLMs (what does this mean?)

AI Agents (what should we do next?)

Slide 6: How Large Language Models Work (Simple)

Briefly demystify: LLMs learn from vast text data to predict next words

ChatGPT, Claude, Gemini, etc.

Slide 7: AI Agents = Action Layer

Agents use LLMs to perform multi-step tasks

Example: Research → summarize → email

SECTION 3: What’s Trending in AI Now (10 mins)

Slide 8: Tools People Are Talking About

Claude (Anthropic)

GPT-4o (OpenAI)

Gemini (Google)

Mistral, Cohere, Meta’s LLaMA

Slide 9: Beyond Text – What AI Can Do Now

ElevenLabs: Text-to-voice

MidJourney, DALL·E: Text-to-image

Sarvam AI: Indian speech + voice AI

Video demo or preview clip

Slide 10: What’s Possible Right Now

Visual: AI can read, write, speak, listen, and act — in seconds

Sets the stage for Pucho

SECTION 4: Introducing Pucho.AI (30 mins)

Slide 11: What is Pucho?

What is it?

Who created it?

Why “Pucho”?

Slide 12–26: What Can Pucho Do?

Answering Questions

Writing Emails, Blogs, Essays

Summarizing Articles, PDFs, Reports

Roleplaying: Teacher, HR, Customer Support

Idea Generation: Business names, slogans

Translation: Multi-language support

Basic Coding Help: Python, JavaScript

Education: Simplify tough topics

Creative Writing: Stories, poems, jokes

Conversational Practice

Language Reading: Speak out responses in English, Hindi, Gujarati

Admin Support: Shareable links, copy response, tone/style change

Deep Search: Search across large docs or web

Workflows: Create charts, draft slides, email summaries

Slide 29: Use Cases for You

Personal

Business

Education

SECTION 5: Solving Real Problems With AI (10 mins)

Slide 30: Common Problems AI Is Solving

Repetitive work

Data overload

Finding insights

Delayed decisions

Slide 31: Agrocel Use Cases – Prashant Jadhav (Data Science in Action)

Real industry example (Agrocel)

“We used AI to analyze crop performance across states”

Slide 32: Data Silos Are Connectable

Visual of fragmented data → unified model

“We took Tally, Excel and made them talk”

Slide 33: What Can Be The Vision?

AI assistant across departments

From insight to execution

SECTION 6: Call to Action (5 mins)

Slide 34: Try Pucho Today

Show QR code

Invite them to explore with examples

Slide 35: Final Thought

“AI won’t replace you. But someone using AI might.”

Slide 36: Thank You

Contact:

support@pucho.ai⁠

www.pucho.ai⁠

⁠

Slide 1: Title Slide

Slide Text:

AI: The Assistant You Didn't Know You Already Use Making Sense of AI for Everyday Work

Speaker Notes: Welcome to today’s keynote. Let me assure you — this is not going to be a tech-heavy, jargon-filled session. You don’t need to be an engineer, a coder, or even “into tech” to understand what we’re going to explore.

Today is about you — how your work life, your day-to-day decisions, your team communication, and even your learning can be made easier using tools that already exist.

By the end of this session, you’ll not only understand what AI is — you’ll actually want to start using it.

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Slide 2: Icebreaker – Have You Used AI Today?

Slide Text:

Raise your hand if you’ve used:

Google Maps

Zomato / Swiggy

YouTube / Instagram

ChatGPT or any chatbot

Speaker Notes: Now let me ask you: Have you used any of these today?

If yes, congratulations — you’ve already used AI.

Google Maps rerouting you based on traffic? That’s AI.

Swiggy suggesting what to order at lunch? AI.

Instagram knowing what reels you’ll like? Also AI.

ChatGPT writing emails, summaries, or helping your kids with homework? Yup — AI again.

So this session isn’t about learning something alien. It’s about naming what you’re already doing — and learning how to do it more powerfully in your role.

⁠

Slide 3: Agenda

Slide Text:

What is AI — without the jargon

How it’s already helping you

What’s trending now in 2025

Real business use cases (Agrocel example)

Pucho.AI

Speaker Notes: Here’s how we’ll spend the next 90 minutes:

First, we’ll explain what AI really is, in the simplest possible terms.

Then, we’ll explore how you’re already using it — without knowing.

We’ll look at what’s trending in the AI world today — just enough so you’re in the know.

Then we’ll dive into real use cases, especially how companies like Agrocel used AI in a powerful way — without needing a tech team.

And finally, I’ll introduce you to Pucho.AI — your own custom-built AI assistant for H&H.

This session is about giving you power — without complexity.

SECTION 2: The World of AI – Foundations to Agents (15 mins)

Slide 4: What is AI? Slide Text:

AI = A system that can learn, spot patterns, make decisions, and act — like a human would. But instead of using a brain, it uses data.

Speaker Notes: Let’s start simple. AI is not a robot or a science fiction tool. It’s a type of software that can look at data, find patterns, learn from them, and make decisions — just like a human would.

Imagine training a new team member. First, you show them what to do. Then after a while, they start doing it without you having to explain again. That’s how AI works — only it trains on thousands or millions of examples, all at once.

For example:

Spam filters in Gmail

Predicting traffic routes on Google Maps

Recommending shows on Netflix

All of these are simple forms of AI working quietly in the background.

⁠

Slide 5: AI vs Data Science vs ML vs LLM vs AI Agents Slide Text: [Need to add data science]

Think of this like levels of intelligence:

Data Science = What happened?

Machine Learning (ML) = What might happen?

LLMs = What does this mean? (language understanding)

AI Agents = What should I do next?

Speaker Notes: Let’s clear up the buzzwords.

Data Science looks at past data. Reports, charts, Excel sheets — it explains history.

Machine Learning is when systems learn from data and start predicting what’s likely to happen next. Like sales forecasting.

LLMs — Large Language Models — are the ChatGPTs and Claudes of the world. They can understand and generate human-like language.

And finally, AI Agents — like Pucho — go beyond. They not only understand language, but also perform actions: send emails, create reports, remind your team, or summarize meetings.

In short: Data science tells you what happened. Agents tell you what to do.

⁠

Slide 6: How Large Language Models Work Slide Text:

LLMs (like ChatGPT) are trained on massive text data from books, websites, PDFs. They learn to generate human-like responses. Examples: ChatGPT, Claude, Gemini

Speaker Notes: Here’s how it works:

Imagine training a person by making them read the entire internet — books, articles, conversations. Then you ask them a question. They don’t memorize answers. Instead, they generate a response based on what they’ve seen.

That’s what LLMs like ChatGPT do.

You ask: “Summarize this policy.”

It checks millions of similar documents it has learned from — and gives you a clean, human-sounding summary.

It’s not magic. It’s just a really smart prediction engine.

⁠

Slide 7: AI Agents = Action Layer Slide Text:

AI Agents don’t just answer. They act. Example: “Research pricing trends → Summarize → Email to team”

Speaker Notes: This is where things get powerful. ChatGPT is like a smart person who answers your questions. But an AI Agent is like a colleague who takes care of the whole task.

You say: “Analyze this meeting note and assign follow-ups.” Boom — it does it. You say: “Check Tally for unpaid invoices and send reminders.” Done.

That’s what we call Agentic AI — and that’s where tools like Pucho.AI come in. It’s not just helping you think. It’s helping you act.

SECTION 3: What’s Trending in AI Now (10 mins)

Slide 8: Tools Everyone Is Talking About Slide Text:

These tools are redefining what AI can do:

ChatGPT (OpenAI) – Conversational assistant

Claude (Anthropic) – Safer, longer-context AI

Gemini (Google) – Multimodal intelligence

LLaMA (Meta) – Open-source large model

Mistral, Cohere – Fast, lean innovation in AI

Speaker Notes: The AI world isn’t just one company — it’s a whole ecosystem.

ChatGPT is the most well-known. It’s great at writing, answering questions, summarizing.

Claude is safer and can handle more context — it can read longer documents than ChatGPT.

Gemini by Google can understand not just text, but also images and voice — called multimodal AI.

LLaMA by Meta and tools like Mistral or Cohere are powering many custom AI setups behind the scenes.

You don’t need to use all of these. But understanding them helps you stay aware of what’s shaping the future.

⁠

Slide 9: What AI Can Do Now — Beyond Text Slide Text:

AI today can: Talk like a human (ChatGPT, Claude) Generate voice from text (ElevenLabs) Create visuals from descriptions (DALL·E, MidJourney)

Speaker Notes: Let’s go beyond just writing and answering questions.

ElevenLabs can take any text and read it out in a realistic voice — even in Indian accents.

DALL·E and MidJourney can turn a written idea into a picture or poster. You type: “A doctor holding a glowing DNA strand in the lab” — it gives you an image.

Sarvam AI is India’s homegrown model that understands Hindi, Tamil, Gujarati — making AI truly inclusive.

So yes, AI now speaks, listens, watches, and even draws.

⁠

Slide 10: What’s Possible Right Now (2025) Slide Text:

In less than 60 seconds, AI can:

Read a 50-page report

Summarize it into 5 points

Draft a follow-up email

Send a calendar invite for action

Speaker Notes: This is no longer theory — this is what AI is doing today.

Let’s say you receive a market report.

An AI agent can read it in seconds.

It can summarize key risks and highlights.

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