DEV Community: Vishal Verma

Building an AI Business Operating System using Notion MCP

Vishal Verma — Sun, 08 Mar 2026 07:52:39 +0000

AI-Business-OS-

AI-Business-OS is an AI-powered concept designed to help entrepreneurs and startups manage their business operations with the help of intelligent automation.

Modern businesses often use multiple tools for engineering, finance, sales, and creative workflows. This project explores the idea of combining all these operations into one unified AI-driven operating system.

The Problem

Modern startups rely on many different tools:
project management tools
financial planning software
marketing platforms
analytics dashboards
Switching between these tools wastes time and makes decision-making harder for founders.
Many early-stage startups also cannot afford multiple SaaS tools.

The Idea

What if a single AI-powered workspace could manage the entire business?
AI-Business-OS is a conceptual system designed to act like a digital co-founder for entrepreneurs.
It combines multiple business intelligence layers into one unified AI workspace.

Vision-

The vision behind AI-Business-OS is to build a digital co-founder powered by artificial intelligence that assists entrepreneurs in planning, analyzing, and scaling their businesses more efficiently.

Core Modules-

Engineering Intelligence-

AI-assisted project planning, workflow automation, development insights, and system optimization ideas.

Finance Intelligence-

Budget planning concepts, expense tracking strategies, and financial forecasting support.

Sales Intelligence-

AI-generated sales strategies, lead generation ideas, customer behavior insights, and growth optimization methods.

Creative Intelligence-

Marketing campaign ideas, content creation assistance, brand storytelling concepts, and social media growth strategies.

Why This Project Matters-

Many startups struggle because managing different aspects of a business requires multiple complex tools. AI-Business-OS aims to simplify this by providing a unified AI-driven assistant that helps founders focus on innovation and growth.

Future Roadmap-

AI dashboard for business insights
Automated marketing assistant
Smart financial forecasting tools
AI-powered decision making system
Integrated productivity and planning tools

This project represents a conceptual step toward building an AI-driven business operating system that can empower entrepreneurs, creators, and startups worldwide.

https://github.com/ravindrak78396-creator/AI-Bussiness-OS.git

1.Project Repository–Al- Business OS in Github.

Project Documentation- Readme Overview.

Public Repository Link- Github Code Access.

Core Modules of AI- Business OS Engineering, Finance, sales, Creativity.

“Designing and Publishing an Intelligent Personal Health AI Agent with Algolia Agent Studio”

Vishal Verma — Mon, 12 Jan 2026 09:48:03 +0000

Health AI Agent with Algolia
This post is my submission for the Algolia Dev Challenge.
I built a Personal Health AI Agent using Algolia Agent Studio to deliver fast, relevant, and user-focused health information.
The project demonstrates how Algolia Search, query suggestions, and AI agents can work together to support smarter health decisions by improving discoverability and response accuracy.

🔍 Problem
Healthcare platforms often struggle with slow, irrelevant search results, which negatively impacts user experience and decision-making.
💡 Solution
Using Algolia’s AI-powered search and Agent Studio, I designed an intelligent health agent that understands user intent and provides precise, context-aware health insights.

Why Algolia a.Lightning-fast search performance b.Powerful query understanding Seamless AI agent integration Scalable and developer-friendly. This project highlights how AI+ Search can shape the future of digital healthcare experiences.

Algolia Agent Studio integration showing Agent ID and API URL(image-url)

Algolia Agent configuration screen with instructions and index-based response](image-url

Confirmation that the AI agent was successfully published and is ready to use in Algolia Agent Studio.

Live AI-powered search results generated using Algolia, delivering accurate and categorized health information in real time.

Budding a personal health ai agent using algolia agent studio.

Vishal Verma — Sun, 11 Jan 2026 04:40:18 +0000

This is a submission for the New Year, New You Portfolio Challenge Presented by Google AI

About Me

Portfolio

How I Built It

What I'm Most Proud Of

Building a practical health agent my learning experience with "Google" and "Kaggle".

Vishal Verma — Sat, 06 Dec 2025 08:21:01 +0000

My Learning Experience in the AI Agents Intensive Program

This post shares my structured learning experience from the AI Agents Intensive Program by Google and Kaggle. It highlights the key concepts I learned, my project idea, and practical suggestions for improving future editions of the course.

Key Learnings from the Program

The AI Agents Intensive gave me a clear and practical understanding of how modern AI systems work. I learned how:

Agents make decisions using reasoning

Tools enable agents to perform real actions

Workflows guide step-by-step task execution

Memory helps agents respond intelligently

Prompts shape the system's behavior

These concepts helped me understand how real, functional AI assistants are built.

My Project Idea: Building a Health Agent

Using the concepts from the course, I planned to design a Health Agent capable of:

Providing basic wellness and health guidance

Supporting healthy habits

Offering simple first-aid information

Giving reminders for hydration, sleep, sunlight exposure, etc.

Although I could not submit the capstone project due to unclear submission communication, the project idea remains valuable, and I am continuing to work on it independently.

What the Program Did Well

The course was strong in several areas:

Clear explanations of concepts

Useful demonstrations of tools

Encouraging and active community support

Easy-to-follow pace for beginners and intermediate learners

Overall, the program successfully made advanced AI concepts easy to understand.

Areas That Could Be Improved

Every learning program can grow further. Here are a few areas where improvements can make it even better:

More Hands-On Tool Practice

Tools were introduced well, but additional guided exercises would make the learning stronger.

Clearer Capstone Submission Process

Many participants, including myself, did not receive a clear submission path. A visible “Submit Project” button would help.

A Complete End-to-End Example Agent

A full production-level example would help learners understand how all components connect.

Better Mobile Experience

Some pages and UI elements did not load properly on mobile devices.

These improvements would make the program more seamless and accessible.

Final Reflection

This course strengthened my confidence in AI development.
It showed me that anyone—with the right guidance and consistency—can create meaningful AI systems.

I will continue developing my Health Agent into a reliable, practical companion that helps people improve their daily well-being.
Thanks to all guy's.