DEV Community: Anmol Pawar

“From Narrow AI to Agentic AI: The Shift Highlighted at Google Cloud Next 2026”

Anmol Pawar — Sun, 26 Apr 2026 10:37:09 +0000

This is a submission for the Google Cloud NEXT Writing Challenge

What if everything we call “advanced AI” today is just the beginning?

I’ve always been a very imaginative person — constantly thinking about futuristic scenarios and how AI might evolve. Earlier, I believed AI was mostly about tools like ChatGPT and Google Gemini — systems designed to answer questions or generate content.

But after exploring insights from Google Cloud Next 2026, my perspective shifted. It made me realize that we are not at the peak of AI — we are standing at a transition point.

🧠 We Are Still in the “Narrow AI” Era

Most AI today is powerful, but still limited. It performs specific tasks very well, yet it cannot truly act independently or handle full real-world responsibility.

For example, current AI can:

generate content quickly
assist in solving problems
support decision-making

But it still depends heavily on human input.

👉 It feels intelligent, but it isn’t truly autonomous yet.

🚀 The Rise of Agentic AI

This is where things become interesting.

At Google Cloud Next 2026, one major idea stood out — Agentic AI. This shift is not just about improving AI, but changing its role completely.

Instead of only responding, AI is now moving towards:

taking actions
completing multi-step tasks
working more like a system than a simple tool

For instance, instead of manually analyzing data and writing reports, an AI agent could handle the process end-to-end — from analysis to insights and even suggestions.

👉 This changes the role of developers — from building tools to designing intelligent systems.

Google has clearly emphasized this shift — the “Agentic Era” has begun.
Interestingly, Google Cloud NEXT 2026 included over 260 announcements, all pointing toward one clear direction: the rise of Agentic AI and intelligent systems that can actively perform tasks.

💖 My Experience with Gemini Nano

I personally explored
👉 Gemini Nano

What surprised me most was its creative capability. I experimented with generating Pixar-style visuals, and the results felt expressive and engaging.

As someone interested in creative AI, this experience made me realize that AI is not just functional — it can also be creative and expressive.

🔄 The Bigger Shift

This is where my thinking evolved.

We are not just improving AI tools — we are redefining how we interact with them.

Earlier, AI was:

a tool we used

Now, it is becoming:

a system we interact with
a collaborator that assists in thinking and decision-making

👉 This shift is important because it changes how humans and machines work together.

⚖️ My Honest Take-

AI is growing rapidly — there is no doubt about that. In the coming years, it will become even more powerful.

But this progress also brings challenges.

Right now:

tools can still feel complex for beginners
real-world usability is not always simple
full autonomy is still far away

👉 There is still a gap between what AI promises and what users can actually achieve today

At the same time, we should not only talk about AI limitations, but also human limitations. As AI becomes more powerful, issues like misuse, over-dependence, and misunderstanding can increase.

👉 This means we need not just better AI systems, but also better awareness, responsibility, and clear usage guidelines.

🔚 Conclusion

Google Cloud NEXT 2026 made one thing clear — AI is no longer just about generating answers.

👉 It is becoming something we can work with, not just use.

For someone like me — still learning and exploring — this shift feels both exciting and challenging.

👉 The future of AI is not just smart tools, but intelligent, action-driven systems.

promptengineering #FutureOfAI #AgenticAI #NextGenAI

# 🌌 SkyGuardian Lite: We’re Losing the Night Sky 🌍/

Anmol Pawar — Sun, 19 Apr 2026 22:03:01 +0000

This is a submission for Weekend Challenge: Earth Day Edition

🌍 What I Built

Have you ever looked up at the night sky… and noticed something missing?

In many cities, stars have slowly disappeared — not because they’re gone, but because we’ve hidden them behind artificial light.

SkyGuardian Lite is a simple AI-powered web app that helps users:

🌕 Understand light pollution levels in their area
🌌 See how it affects star visibility
🤖 Get AI-generated insights and suggestions
🌍 Build awareness about environmental impact

👉 The goal is to turn an invisible problem into something visible, emotional, and actionable

🎬 Demo

👉 Enter a city → Get instant analysis

Example:

📍 Location: Bhopal
🌕 Pollution Level: Medium
✨ Stars Visibility: Partially Visible
🤖 AI Insight: Explains impact + suggestions

💻 Code

⚙️ How I Built It

SkyGuardian Lite follows a simple but effective flow:

User Input → Analysis → AI Insight → Actionable Suggestions

🧠 Backend

Python + Flask
Generates a simplified light pollution level (Low / Medium / High)

🤖 AI Integration

I used Google Gemini to:

Explain pollution levels in simple language
Describe environmental and human impact
Suggest practical actions

👉 Instead of just showing data, the app translates it into understanding

🎨 Frontend

HTML + CSS (dark cinematic theme 🌌)
Glassmorphism UI for modern feel
Emotional visual (tree vs human impact 🌳)

💡 Design Philosophy

Keep it simple
Make it interactive
Add emotional storytelling

🏆 Prize Categories

✅ Best Use of Google Gemini

Used Gemini to generate real-time environmental insights and actionable suggestions

✅ Best Use of GitHub Copilot

Assisted in speeding up development and improving code structure

🎨 Visual Storytelling

To make the impact more understandable, I added a storytelling layer:

😞 Polluted Sky → Stars hidden
😊 Clean Sky → Stars visible

👉 This transforms data into a story — making the problem not just visible, but felt

🚧 Challenges I Faced

Building a meaningful project within a short weekend
Simplifying a complex environmental issue
Balancing creativity with functionality

🚀 What’s Next

SkyGuardian Lite is part of a bigger vision:

Real-time data integration
Image-based pollution detection
Location-based live tracking
Community awareness features

🌍 Final Thought

We didn’t lose the stars.
We just stopped seeing them.

Maybe it’s time to look up again — before the sky forgets us. ✨

SkyGuardian Lite — because it’s not too late.

I Built an AI That Makes Everything Overcomplicated 😅

Anmol Pawar — Sun, 12 Apr 2026 21:15:02 +0000

🤖 What I Built

I built Overthinking Machine, a useless AI that takes simple things… and makes them unnecessarily complicated 😌

Instead of helping, it “improves” your input in a slightly over-smart way.

Example:

Input: hi

Output:
Hi 🙂

But I improved it:
Hello, hope you are having a productive day 😌

🎥 Demo

👉 Watch here: https://youtu.be/Dm2Oal9MByk?si=28aHpKPnU_MzyUJy

💻 Code

Built using Google AI Studio (Gemini) with custom prompt design.

⚙️ How I Built It

Google AI Studio (Gemini)
Prompt engineering for personality
Simple UI for interaction

Main focus was:

Keep responses short, simple, and slightly overthinking

🏆 Prize Category

Best Google AI Usage
Because the project uses prompt engineering to control AI personality and behavior in a fun and creative way.

😅 Why it’s funny

It turns simple things into unnecessary complexity
Feels like overthinking in real life
Relatable and slightly annoying… in a fun way 😂

🚀 Final Thought

Why say simple… when you can overthink? 🤖