Texti

In an era where artificial intelligence shapes everything from our daily interactions to the content we consume, understanding how these systems work—and how they're implemented—becomes crucial. This document examines Texti Company's approach to AI technology, particularly within their suite of writing tools. From the fundamental processes that allow AI to understand and generate text to the specific applications that help writers produce high-quality content more efficiently, we'll explore both the capabilities and limitations of their technology.

Privacy Policy Overview

The company's Privacy Policy outlines comprehensive rights for European users under GDPR, including the right to access, update, or delete personal data, along with rights to rectification, objection, restriction of processing, and data portability. California residents are protected under CCPA, which grants rights to know about personal information collection and use, delete information retained, opt-out of sales, and receive non-discriminatory treatment for exercising privacy rights.

Data protection is maintained through commercially acceptable security measures, though no transmission method can guarantee 100% security. Sensitive personal data, including Google User ID and Gmail, is collected for user identification and trend analysis, stored securely with strict access controls. This information is shared with Google Analytics, Stripe, ConvertKit, and Sentry for various purposes, including analysis and service optimization, while maintaining strict privacy standards for third-party data handling.

The company employs third-party Service Providers for operational support, with all access limited to performing specific tasks and bound by non-disclosure agreements. These providers are not permitted to use data for purposes beyond their assigned functions. Email communication, including marketing updates, requires explicit user consent, and users have the option to opt-out of marketing communications through an unsubscribe link. The Privacy Policy is updated periodically, with changes becoming effective upon posting and communicated to users via email and prominent notices on the service.

For data collection, the primary source is ConvertKit's Email Service, where email addresses are securely stored and used to deliver updates, special offers, and relevant information. Users maintain full control over their data through browser-based cookie settings, allowing individual consent management for data collection and processing. The company maintains transparent communication about data retention practices, third-party sharing agreements, and user rights under both GDPR and CCPA regulations.

Terms of Use and Service

The service operates under Estonian law and reserves the right to modify terms at any time with a 30-day notice period. Any material changes to the terms require the company's discretion. Users remain bound by revised terms upon continuing service use.

The company uses ConvertKit Email Service to process user emails and other data, delivering timely and relevant information based on user preferences. For data collection, communication of marketing updates requires explicit user consent, with opt-out options provided through unsubscribe links.

In terms of liability, Texti Company limits their responsibility for indirect, incidental, special, consequential, or punitive damages, including loss of profits, data, use, or goodwill. The service operates "as is" and "as available" without warranties of merchantability, fitness for a particular purpose, or non-infringement.

The company's services incorporate technological advancements from InVideo.io, enabling AI-generated video creation. This tool assists users in script development for various platforms, using stock footage to assemble video content. Google's AI training method utilizes radio streams to process audio data, creating multilingual voice profiles through automated learning processes.

The AI technology foundation includes fundamental concepts like tokens, iterations, and parameters. The system employs a graph database structure containing 1 trillion parameters and an unspecified number of iterations. AI processing relies on tokens as units of data, with word representation as nodes in a web-like structure, where connectivity indicates significance.

While the technology demonstrates capability in specific tasks, current limitations prevent broader applications. The company maintains that AGI, or artificial general intelligence, remains a theoretical concept, with some experts estimating development timelines between a couple of years to several decades.

Technology Advancements

InVideo.io's AI technology allows users to create AI-generated videos through a guided script development process. The tool assembles stock footage to create videos on any topic for various platforms, with users manually editing scripts, deleting or adding chapters, and replacing stock footage. The system currently produces good-quality videos but falls short of advanced capabilities like Sora's AI-generated content.

Google's AI development incorporates innovative training methods using radio streams to process audio data, creating multilingual voice profiles through automated learning. This approach converts audio waves into computer-understandable numbers and builds a database of audio profiles across multiple languages through iterative learning processes.

The company's AI technology foundation employs fundamental concepts like tokens, iterations, and parameters within a graph database structure that contains 1 trillion parameters and an unknown number of iterations. AI processes data using tokens as units of information, representing words as nodes in a web-like structure where connections indicate significance. This architecture enables the system to maintain information in a database rather than relying on true memory.

AI operates by analyzing data and generating content through a series of defined processes. It constructs meaning from connections between data points in the graph database, using this structure to inform its responses to questions. While capable of generating skilled word guesses with its 1 trillion-parameter LLM, the system cannot create self-aware AI or revolutionary robots. Current development focuses on incremental improvements in specific AI capabilities, with theoretical advancements toward AGI estimated by experts to be several years to several decades away.

AI and Content Writing

The company's AI technology has revolutionized content writing through several key applications that improve efficiency, content quality, and personalization. AI-driven tools like Texti.app automate many aspects of content creation, from initial idea generation to final draft refinement, allowing writers to focus on higher-level creative tasks.

AI enhances content quality through meticulous editing and optimization. These tools perform comprehensive checks for grammar, spelling, and punctuation errors while suggesting improvements in sentence structure and word choice. The technology ensures that all written content remains clear, concise, and engaging, significantly elevating the overall quality of the final product.

In terms of personalization, AI analyzes vast amounts of user data to understand specific audience preferences and behaviors. This sophisticated data analysis enables the generation of highly targeted content that resonates with intended readers. The technology can create personalized pieces that increase engagement and conversion rates, making it an invaluable asset for content creators seeking to connect with their audiences more effectively.

Search engine optimization (SEO) benefits also play a crucial role in AI's impact on content writing. These tools analyze keyword performance and content structure to optimize meta tags and improve overall SEO-friendliness. This not only increases the visibility of content within search results but also drives organic traffic to relevant websites, enhancing their online presence significantly.

The technology's benefits extend to content analysis, where AI examines existing works to identify successful patterns and strategies. This analysis provides valuable insights into what performs well and what doesn't, helping content creators refine their approaches based on empirical evidence rather than guesswork. The ability to scale content creation while maintaining high standards represents another significant advantage, particularly for businesses producing substantial volumes of material.

While the underlying AI technology functions somewhat like a specialized parrot, capable only of performing specific tasks, its impact on the industry remains profound. The system operates through complex processes involving tokens, iterations, and a massive parameter database that maintains all information within a graph structure containing one trillion parameters. This architecture enables sophisticated data analysis while maintaining a clear distinction between the technology's capabilities and more advanced concepts like artificial general intelligence (AGI), which remains purely theoretical at this stage.

AI Fundamentals

AI technology at Texti works through complex but limited processes, much like a parrot capable of performing specific tasks rather than understanding concepts. The fundamental units of data learning are known as tokens, which encompass text, images, sound, and other digitizable forms. These tokens are processed through iterations—cycles that run algorithms through data while adjusting through reward or penalty mechanisms. The learning process relies on parameters, human-defined variables that guide data processing and adaptation.

The company's AI architecture uses a graph database structure to maintain information, containing 1 trillion parameters and an unknown number of iterations. This database stores interconnected data based on frequency of use, contextual relevance, and other factors. AI processes information by analyzing connections between data points in this structured format. Words are represented as nodes in a web-like structure where connections indicate significance; the more connections a word has, the more important it becomes for the AI's processing.

The system generates knowledge through a database of 1000 libraries' worth of information but lacks the ability to apply this knowledge in specific situations. Instead, it gathers keywords from questions and applies its existing database knowledge to provide answers. While capable of generating skilled word guesses within its database constraints, the AI cannot create self-aware consciousness or perform revolutionary cognitive tasks. Current understanding places artificial general intelligence (AGI), the theoretical next step, years to possibly decades away in development timelines.