AJAX Write and Sketch and Tunes

By    John Garner on  Thursday, August 24, 2006
Summary: Well I just came across this AJAX based Word Processor system called ajaxWrite that can actually read and write MS Word documents and several other formats. It is AJAX based so it just works directly in your browser, it's really cool !    But I then realised that this was just the tip of the […]

ajax writeWell I just came across this AJAX based Word Processor system called ajaxWrite that can actually read and write MS Word documents and several other formats. It is AJAX based so it just works directly in your browser, it's really cool !

 
 

But I then realised that this was just the tip of the iceberg. There is a ajaxSketch that can read and write SVG type documents and it all just works seamlessly as you can see from the screenshots in your web browser.
ajax sketch

I then clicked on ajaxTunes and this "is a web-based music player that lets you play high-quality streaming music straight from the Internet on any computer" Not only that but it seems to link to remotely stored music. It's amazing !! I am impressed !
Oh and the first song that appeared 'Breathe Me' by Sia is also a sing I really like so these guys got everything right first time with me, bravo !

But as these guys are really good they have actually got the system working so you can add the code to your pages so I'm going to give it a try. My page will not validate anymore but it was already giving me CSS errors anyway so here goes :
Listen to Sia's 'Breathe Me' right now !

Update : It works in FireFox, IE and Opera. Sia's singing to me from my blog, this is great 🙂

Article written by  John Garner

Leave a Reply

Your email address will not be published. Required fields are marked *

Recent Posts

Check out the most recent posts from the blog: 
Wednesday, June 18, 2025
The ONHT Framework for Intermediate users

This Intermediate Guide for the ONHT (Objective, Needs, How, Trajectory) Framework transforms you from someone who uses GenAI into someone who thinks with GenAI by adding the missing cognitive functions that current GenAI lacks. The framework works through three critical pillars – Empathy (understanding all stakeholders), Critical Thinking (challenging assumptions), and Human in the Loop (active partnership). Master these patterns and you'll be solving complex problems others can't even approach, becoming indispensable by designing interactions that produce exceptional results rather than just functional outputs.

Read More
Monday, June 16, 2025
The ONHT Framework: Beginners Guide

Stop getting generic AI responses. Learn the four-letter framework that transforms vague requests into precise results. The ONHT framework: Objective (what problem you're solving), Needs (key information that matters), How (the thinking approach), and Trajectory (clear steps to the answer), teaches you to think WITH AI, not through it, turning "analyse customer feedback" into board-ready insights. Real examples show how adding context and structure gets you from Level 1 basics to Level 3 mastery, where AI delivers exactly what you need.
The difference? Knowing how to ask.

Read More
Sunday, June 15, 2025
The ONHT Framework: GenAI Prompting Solutions That Actually Work for People

GenAI tools are transforming work, but most people get poor results because they don't understand how to communicate with AI built on structured data. This guide is a series of articles that teaches the ONHT framework—a systematic approach to prompting that transforms vague requests into exceptional outputs by focusing on Objectives (what problem), Needs (what information), How (thinking approach), and Trajectory (path to solution). Master this framework and develop an expert mindset grounded in human-in-the-loop thinking, critical analysis, and empathy, and you'll excel with any AI tool, at any company, in any role.

Read More
Sunday, September 24, 2023
The reliability & accuracy of GenAI

I question the reliability and accuracy of Generative AI (GenAI) in enterprise scenarios, particularly when faced with adversarial questions, highlighting that current Large Language Models (LLMs) may be data-rich but lack in reasoning and causality. I would call for a more balanced approach to AI adoption in cases of assisting users, requiring supervision, and the need for better LLM models that can be trusted, learn, and reason.

Read More
crossmenuarrow-down