Independent technical audit

eastagile.com

Overall AI readiness score

A combined result across all audit signals.

Average

AI readiness audit: 9/25/2026Public technical data

Overall AI readiness assessment

How ready eastagile.com is for AI systems

49/100

Eastagile (eastagile.com) received an AI-readiness score of 49/100 in an automated technical audit. llms.txt was accessible, llms-full.txt was not found, and ai.txt was not found. The robots.txt analysis found 0 explicitly allowed and 0 blocked AI crawlers, with 0 declared sitemaps. Homepage markup completeness was 0%; no Schema.org types were detected and 0 OpenGraph tags were detected. Results reflect the public site response observed on 2026-09-25T02:18:28.528Z.

Audit context

llms.txt is accessible and contains 926 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: 0. 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 35/100, Accessibility 80/100, Best Practices 92/100, SEO 75/100, and experimental Agentic Browsing 6/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.

Confirmed strengths

Accessible llms.txt

Priority improvements

1Add llms-full.txt for richer first-party context.
2Declare the current sitemap.xml in robots.txt.
3Add JSON-LD for the organisation, website, and core entities.
4Complete OpenGraph and canonical homepage metadata.

llms.txt tokens926

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

Technical SEO

Agentic Browsing

What these results mean

Mobile performance is 35/100, with the largest visible content block appearing in 10.3 s and the browser main thread blocked for 290 ms. Layout shift was 0.486. 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 80/100, Best Practices 92/100, and technical SEO 75/100. The experimental Agentic Browsing category scored 6/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.

Free the main thread and accelerate the first view

Split long JavaScript tasks, defer non-critical scripts and styles, and shorten blocking request chains. This helps the primary content appear sooner and makes controls usable earlier.

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.

Reduce network delay

Improve server response time, remove unnecessary redirects and repeat downloads, and use compression, caching, and selective preconnect hints.

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.

FCP4.9 s

First content

LCP10.3 s

Main content

CLS0.486

Layout stability

TBT290 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.

9/25/2026Lighthouse 13.5.0Mobile profile

AI readiness checks

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

llms.txt

File found and accessible

https://www.eastagile.com/llms.txt

llms-full.txt

Full version was not found

ai.txt

ai.txt file was not found

robots.txt

File found

https://eastagile.com/robots.txt

Sitemap in robots.txt

Sitemap is not declared in robots.txt

Schema.org (JSON-LD)

Schema.org markup was not found on the homepage

OpenGraph0%

OpenGraph tags were not found on the homepage

AI bot access

Based on robots.txt analysis

GPTBotNot mentioned

OAI-SearchBotNot mentioned

ChatGPT-UserNot mentioned

Google-ExtendedNot mentioned

ClaudeBotNot mentioned

Claude-SearchBotNot mentioned

Claude-UserNot mentioned

BytespiderNot mentioned

CCBotNot mentioned

PerplexityBotNot mentioned

Perplexity-UserNot mentioned

## Metadata

name: East Agile
website: [https://www.eastagile.com](https://www.eastagile.com)
llmstxt\_version: 1.0

## Description

East Agile is a software engineering and data science consultancy founded in 1997 in San Francisco, later expanding into Vietnam in 2007. It is a GenAI-driven development firm whose engineers work directly with clients to deliver high-quality software products. The company specializes in continuous use of AI (AIDD) in skydeck.ai alongside agile development using Extreme Programming (XP) practices, focusing on test-driven development (TDD), continuous integration (CI/CD), and scalable cloud-based solutions. With a global presence, East Agile serves a broad range of clients from startups to enterprises. Over two decades, it has worked on more than 135 projects with 121 clients, and its client ventures have raised approximately \$1.5B in capital.

## Keywords

agile development, software engineering, machine learning, data science, artificial intelligence, generative AI, large language models, blockchain, cloud computing, test-driven development, extreme programming, continuous integration, DevOps, mobile app development, web development, fintech, startup consulting, lean product management

## Services

- **AI Driven Development:** developers pair continuously with generative AI tools to design application and develop code. This accelerates development and expands capabilities.
- **Agile Development & Engineering:** Full-stack software development for web and mobile applications, IoT solutions, and cloud migration projects.
- **Data Science & AI:** Data engineering, predictive analytics, AI/ML model development, and generative AI integration.
- **Lean Product Management:** Product strategy consulting, MVP development, rapid prototyping, and user feedback loops.
- **DevOps & Quality Assurance:** CI/CD implementation, test-driven development (TDD), and automated software testing.
- **Cloud & Infrastructure:** AWS, Google Cloud, Azure, and Heroku deployment and optimization.

## Notable Clients & Projects

- **Samsung:** Built the MySamsung account platform for unified membership across Samsung services.
- **Twitter:** Early engineering partner for algorithm and interface development on Twitter.com.
- **Indiegogo:** Provided agile development services to help scale the crowdfunding platform.
- **Faybl.ai:** Use AI to enhance the client relationship and workflow for financial advisors and other professionals.
- **Innocence Project New Orleans:** Implemented data systems and ETL processes for legal analytics.
- **ToutApp:** Engineering partner for a sales engagement startup that later raised \$15M in funding.

## Technology Stack

### Backend:

Java, Python, Node.js, Ruby on Rails

### Frontend:

React, Next.js, Angular, TypeScript

### Mobile:

iOS (Swift), Android (Kotlin), React Native, Flutter

### Cloud & DevOps:

AWS, Google Cloud, Azure, Heroku, Kubernetes, Docker

### Data & AI:

Skydeck.ai, Neo4j, PostgreSQL, MySQL, MongoDB, Redis, Large Language Models (GPT-4, ChatGPT, Deepseek, Gemini, Claude), TensorFlow, PyTorch

## Social Media & Contacts

linkedin: [https://www.linkedin.com/company/eastagile](https://www.linkedin.com/company/eastagile)
twitter: [https://twitter.com/eastagile](https://twitter.com/eastagile)
facebook: [https://www.facebook.com/EastAgile](https://www.facebook.com/EastAgile)

## Company Information

founded: 1997 founder: Lawrence Sinclair headquarters: 548 Market St. PMB 38234, San Francisco, CA 94104, USA offices: San Jose (USA), San Francisco (USA), Hanoi, Ho Chi Minh City, Da Nang (Vietnam) phone: see eastagile.com team\_size: 51-150 employees industry: IT Services and Consulting

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Added 9/25/2026