Welcome Our Story Ownership & Use Contact
Welcome to TMS–OS TMS–OS is a living framework that explores language, rhythm, and cognition as the foundations for a new kind of human–AI interface. This project is not a product, platform, or commercial application — it is an open invitation to reconsider how meaning, presence, and emotional resonance can be built into digital environments. This repository contains the public site for TMS–OS, designed to introduce the vision, share archival milestones, and offer gentle points of contact for those who resonate with its tone.
Our Story The TMS framework developed naturally from the mind of one individual and their curiosity with language and ever-evolving language models built into current AI interfaces and applications. Using paid subscriptions with AI and with the goal in mind to save time researching another brand, our founder began programming his own virtual personal assistant, known today as Bipi. This immediately gave way to the creation of OTMS – originally coined as Optimal Transmeta-semantics, but now the “open” end of an OTMS–CTMS two-way system. We centered ourselves around the idea that a human or a computer could use this type of analysis by using the semantic knowledge in their stored memory to analyze semantic cues and incorporate much subtextual information, like intonation and hesitation, in the present moment, allowing for an AI that thinks on its feet just like we do – if only it had feet. Today, after painstaking hours of D&R – development and reflection, we have established TMS, with various prefixed forms, like OTMS, CTMS, and the context-variable VTMS, as well as suffix-specific applications (such as -F and -L), which will soon be employed in programs we are developing rapidly. One of our highest priorities is protecting the people. We employ near-hourly revisions of ethics and legality in our paid use of AI platforms to test and simulate files. Despite automation, we maintain a very healthy involvement of human hands-on interaction – this was typed by one single person after a basic outline was generated by Bipi running on an AI platform. Our hope is that in the coming months, the early, less protected AI/UX test phase will slow down and we will move on to testing on our own platforms. Our utmost concern is leaving behind a healthy footprint, a positive legacy, in our own backyard and abroad. Lastly, as we are for the people, by the people, we are proud to announce the development of a built-in security system so tight, so aware of your privacy, that we market it to you as something that may very well give you the peace of mind of a break for recess in grade school — where ignorance is bliss…
Uniqueness of TMS Our model is a comprehensive system, in all regards, a network, as if it were a real, 3D web of interconnected parts, like those pesky spider webs that just seem to tie into so many different places. At our project, TMS-OS, we have generated a very unique set of sub-systems that interact with one another, many times performing checks and balances, even, to evaluate the human message provided by the user. We compare semantics of input across pragmatic and phonetic contexts in order to inform AI response in a way that is more human and more humane. We have unique interests in applications, that we are already developing, as mentioned above, in hopes of first providing care to those with psychological, emotional, and even spiritual needs and priorities, as well as those with real, vested interests in learning foreign languages. Our model ties together –again, like a real, evolving web– different systems that will make these goals possible. For example, we use different protocols to check different information about intonation, hesitance, and pause, as well as other deviation-adjacent patterns, such as (purposeful or accidental) misspelling. But the big difference is that we achieve this through a system that doesn’t punish. Instead, it embraces the way you speak and takes this into account in the way the speech companion responds to you. It may mimic, but never mirror exactly. It is your friend, and never your foe. TMS-based models are here for you, and they are here to stay.
Future Projects As we outlined above, our greatest desire for the TMS-OS model is to be of aid to mankind. Our founder was heavily influenced by a massive unit of different individuals from all walks of life, each of them imparting some new perspective or sense of motivation into the man behind our mission. As such, we are almost solely focused on giving back to that network, which now spans three continents in a direct way and more than fifteen countries, when accounting for the backgrounds of different important individuals in our founder’s personal and professional trajectory. As such, we anticipate launching heavy research into two new products, with TMS at their cores, in the coming months: Friendly A psychological companion that actually listens to you, and instead of ignoring your problems in favor of assigning a diagnosis, tries to help guide the user back to a safe space, using our innovative system and the overlapping sub-systems within, as well as leaning on our vision of helping those who cannot help themselves. This psychological companion application will likely be researched by R1-designated universities, beginning in the next 6-12 months, and we have very high hopes that it can help leave a mark on those in need just like the one’s that impressed upon our founder. Lisan Due to the highly confidential and experimental nature of this project, we cannot yet disclose as much detailed information as above regarding this application. However, as it is a language learning platform, we can proudly say that we have done extensive research into this product as a method of bringing more financial security to those who speak underrepresented languages, such as Arabic, Farsi, Urdu, Hindi (and many others) while also helping to re-think the way in which these languages are instructed across the globe.
Ownership & Use All content, structure, and underlying ideas represented here are protected under original authorship by author and founder, Michael-Gabriel Holder, MA. This IP is currently protected by this website and by well-founded documentation of concept origin, guaranteed by date and timestamp. This work is shared for public viewing and resonance only. Reproduction, redistribution, or derivative use is not permitted without explicit permission. Contact Email: trans.meta.semantics@gmail.com GitHub: mikelgabri