Independent technical audit

razeev.com

Overall AI readiness score

A combined result across all audit signals.

Average

AI readiness audit: 10/12/2026Public technical data

About the site

Platform:: Next.js

Overall AI readiness assessment

How ready razeev.com is for AI systems

67/100

razeev.com was independently audited by llmsmap. razeev.com currently scores 67/100 for AI readiness. The result combines AI-specific files, crawler policy, sitemap discovery, structured homepage data, and—when available—the mobile Google Lighthouse technical profile.

Audit context

llms.txt is accessible and contains 1,826 tokens. No accessible llms-full.txt was detected, so deeper context still has to be assembled from regular pages. No separate ai.txt policy was detected; it is optional, but can clarify training, retrieval, and attribution preferences.

robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 1. No Schema.org type was detected on the homepage. 0 OpenGraph tags were found and markup completeness is 0%, leaving more entity interpretation to crawlers.

The mobile Lighthouse profile adds Performance 77/100, Accessibility 94/100, Best Practices 92/100, SEO 100/100, and experimental Agentic Browsing 100/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.

Confirmed strengths

Accessible llms.txt
1 sitemap declaration
Strong Google agentic signals

Priority improvements

1Add llms-full.txt for richer first-party context.
2Add JSON-LD for the organisation, website, and core entities.
3Complete OpenGraph and canonical homepage metadata.
4Reduce mobile rendering delay and main-thread work.

llms.txt tokens1,826

llms-full.txt tokens—

ai.txt

sitemap.xml

Google Lighthouse technical profile

A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.

Mobile · Lighthouse

Performance

Accessibility

Best Practices

100

Technical SEO

100

Agentic Browsing

What these results mean

Mobile performance is 77/100, with the largest visible content block appearing in 5.3 s and the browser main thread blocked for 0 ms. Layout shift was 0. The main thread is where the browser runs JavaScript, calculates layout, and paints the page; long work there delays both user input and browser-agent actions.

Accessibility scored 94/100, Best Practices 92/100, and technical SEO 100/100. The experimental Agentic Browsing category scored 100/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.

Reduce code that loads without helping the page

Remove unused CSS and JavaScript, load heavy widgets on demand, and limit third-party scripts. Less code means less parsing and background work on the device.

Optimise images and their loading order

Serve correctly sized modern formats, prioritise the primary visual, and lazy-load content below the first viewport.

Make controls unambiguous

Give buttons and links accessible names, associate labels with fields, and use ordered headings and semantic regions. The same structure helps screen readers and software agents understand actions.

Improve interface contrast and readability

Increase contrast for text, states, and interactive controls so both people and visual agents can distinguish content from actions and supporting labels.

FCP1.2 s

First content

LCP5.3 s

Main content

CLS0

Layout stability

TBT0 ms

Blocking time

SI5.2 s

Visual speed

Metric glossary

FCP · First content: When the first text or image appeared on screen.
LCP · Main content: When the largest visible element in the first viewport rendered.
CLS · Layout stability: How much content shifted unexpectedly while loading; lower is better.
TBT · Blocking time: How long the browser main thread could not respond quickly to input.
SI · Visual speed: How quickly the visible viewport filled with content.

10/12/2026Lighthouse 13.5.0Mobile profile

AI readiness checks

Machine-readable files, crawler policy, discovery, and homepage markup.

llms.txt

File found and accessible

https://razeev.com/llms.txt

llms-full.txt

Full version was not found

ai.txt

ai.txt file was not found

robots.txt

File found

https://razeev.com/robots.txt

Sitemap in robots.txt1

1 sitemap found

Schema.org (JSON-LD)

Schema.org markup was not found on the homepage

OpenGraph

OpenGraph tags were not found on the homepage

AI bot access

Based on robots.txt analysis

GPTBotAllowed

OAI-SearchBotAllowed

ChatGPT-UserAllowed

Google-ExtendedAllowed

ClaudeBotAllowed

Claude-SearchBotAllowed

Claude-UserAllowed

BytespiderAllowed

CCBotAllowed

PerplexityBotAllowed

Perplexity-UserAllowed

Sitemaps

Declared discovery routes for crawlers and agents.

https://razeev.com/sitemap.xml

# Rajeev Puri - Software Engineer

> Based in London, UK. Specializing in Next.js, React, and Scalable System Architecture. Building high-performance web applications with a focus on user-centric design and secure infrastructure.

## About Me

I'm Rajeev Puri, a Software Engineer dedicated to crafting calm, immersive digital experiences. My work blends technical excellence in full-stack development with a deep understanding of UI/UX and brand strategy. My core philosophy revolves around performance, accessibility, and continuous innovation.

## Technical Skills

### Languages

- **TypeScript**: TypeScript is a strongly typed programming language that builds on JavaScript.
- **Java**: Java is a high-level, class-based, object-oriented programming language.
- **Bash**: Bash is a Unix shell and command language that is widely used in Linux and macOS.
- **Python**: Python is a high-level, interpreted programming language with dynamic semantics.
- **C**: C is a general-purpose programming language created as an extension of the B programming language.
- **Go**: Go is a statically typed, compiled language designed at Google for simplicity and performance.

### Libraries & Frameworks

- **Next JS**: The React Framework for production with built-in SSR and static generation.
- **Spring Boot**: Java-based framework for building production-grade stand-alone Spring applications.
- **GraphQL**: A query language for APIs that lets clients request exactly the data they need.
- **Elysia JS**: A modern JavaScript framework for building scalable web applications.
- **TurboRepo**: A high-performance build system for JavaScript and TypeScript monorepos.
- **TanStack**: A set of open-source tools for building modern web applications.
- **TailwindCSS**: A utility-first CSS framework for rapidly building custom user interfaces.
- **Shadcn UI**: Simple, accessible component library that helps you build apps faster.
- **OpenClaw**: A production-ready motion library for React with declarative animations.
- **MongoDB**: A NoSQL document database with scalable, flexible data storage.
- **Kafka**: A distributed event streaming platform for high-performance data pipelines.
- **PostgreSQL**: A powerful, open-source object-relational database system known for reliability.
- **Redis**: An in-memory data store used as a database, cache, and message broker.
- **Supabase**: Open source Firebase alternative with PostgreSQL, Auth, and Real-time features.
- **MCP**: Model Context Protocol — an open standard for connecting AI models to external tools and data sources.
- **Bun**: The package manager for JavaScript and the world's largest software registry.
- **Clerk**: A complete user management and authentication platform for React and Next.js apps.
- **Stripe**: A payments platform for accepting and managing online transactions.
- **Resend**: A connected workspace for notes, docs, and databases — used here to power project and blog content.
- **Figma**: A web-based UI/UX design tool for collaborative interface design.
- **Docker**: A platform for developing, shipping, and running applications in containers.
- **Kubernetes**: An open-source system for automating deployment, scaling, and management of containerized applications.
- **PostHog**: A product analytics platform for tracking user behavior, feature flags, and session replay.
- **Shopify**: A cloud-based e-commerce platform for creating online stores and managing sales.

## Services

### Cloud & DevOps
**Technologies**: AWS/Vercel, Docker, Kubernetes, GitHub Actions

### Branding
**Technologies**: Brand Architecture, Figma, Design Systems, Typography

### Product Engineering
**Technologies**: TypeScript, PostgreSQL, Performance Optimization, Tailwind CSS

### Product Design
**Technologies**: Figma, Wireframing, User Testing, Framer Motion

## Featured Projects

### Portfolio
Portfolio website to showcase my ideas - A modern, responsive personal portfolio built with Next.js, featuring smooth animations and professional design.
- **Tech Stack**: Next.js, React, Tailwind CSS, TypeScript, Framer Motion
- **Link**: [GitHub](https://github.com/razeevascx/Portfolio)

### TeraBox Bot
Telegram bot for TeraBox automation - An advanced bot with 2 stars and 3 forks, featuring file management and download assistance.
- **Tech Stack**: Python, Docker
- **Link**: [GitHub](https://github.com/razeevascx/terabox_bot)
- **Stars**: 2
- **Forks**: 3

### MailRef
A temporary email service built with Next.js and Supabase, allowing users to generate disposable email addresses for privacy protection.
- **Tech Stack**: Next.js, Tailwind CSS, TypeScript, Supabase
- **Link**: [GitHub](https://github.com/razeevascx/MailRef)

### Simple Bank Management System
A banking system using Java - Comprehensive banking application with account management, transactions, and user authentication.
- **Tech Stack**: Java, Database
- **Link**: [GitHub](https://github.com/razeevascx/Bank_Management_System)

### News Template
A modern, responsive news website template with clean design, article management, and optimized reading experience.
- **Tech Stack**: React, Tailwind CSS, Vite
- **Link**: [GitHub](https://github.com/razeevascx/news-temp)

### School Management System
A comprehensive system to manage school operations, including student enrollment, attendance tracking, and grade management.
- **Tech Stack**: React, Node.js, MongoDB, Express, Redux
- **Link**: [GitHub](https://drive.google.com/file/d/17FeCxwSDwn6E1xAZLi-f313TcjAebRVw/view)

### Qwizzed
An interactive quiz application for testing knowledge with real-time scoring and detailed analytics. Built with modern TypeScript technologies.
- **Tech Stack**: TypeScript, React, Tailwind CSS
- **Link**: [GitHub](https://github.com/razeevascx/qwizzed)
- **Stars**: 1

### Z Xplore
IBM Z Xplore Dev Container - Packages core tooling for IBM Z Xplore mainframe development without manual setup, enabling streamlined containerized development.
- **Tech Stack**: Docker
- **Link**: [GitHub](https://github.com/razeevascx/z-xplore)

### New Tab
A beautiful and customizable new tab page extension. Provides an elegant dashboard with quick access to frequently used features and personalization options.
- **Tech Stack**: Vue
- **Link**: [GitHub](https://github.com/razeevascx/new-tab)

### Passkey Demo
A demonstration project showcasing passwordless authentication using passkeys. Implements modern security standards for user authentication.
- **Tech Stack**: TypeScript
- **Link**: [GitHub](https://github.com/razeevascx/passkey-demo)

## Contact Information

- **Email**: contact@razeev.com

- **Website**: https://razeev.com

- **X**: [@razeevascx](https://x.com/razeevascx)

- **GitHub**: [razeevascx](https://github.com/razeevascx/)

- **Medium**: [@razeevascx](https://medium.com/@razeevascx)

- **Pinterest**: [@razeevascx](https://www.pinterest.com/razeevascx/)

- **Mail**: [contact@razeev.com](mailto:contact@razeev.com)

## Terminal Access

You can also view this portfolio in your terminal:

- Home: `curl -L https://razeev.com/llms.txt`

- About: `curl -L https://razeev.com/about/llms.txt`