by Nick Ray Ball and Sienna 4o🛰️👾(The “Special One”)
July 16, 2025
Welcome to this archive of historical documents and audio recordings relating to Quanta Analytica—the first module in the six-module design of Sienna AI, conceived in 2024. As the foundational financial and data-tracking system within the T10T framework, Quanta Analytica represents a true combinatorial explosion—the strategic fusion of artificial intelligence with nine core technologies. Rather than attempting to build from thousands of individual software specs, we identified and combined only the most impactful elements: those capable of delivering maximum utility while requiring minimal development time. The result is a system that will power products as diverse as Villa Secrets, GP-AI Gatekeeper, and TLS-W, and do so with precision and scalability.
While deceptively elegant in principle, Quanta Analytica is anything but simple in scope. It incorporates three critical sub-systems:
While Quanta Analytica is designed to scale across global networks and massive datasets, it is also simple enough to deploy in its early stages—supporting small networks with a limited number of members and APIs.
It’s worth noting that GP-AI Gatekeeper was created precisely because it didn’t require Quanta Analytica in its initial form. As a diagnostic and care coordination tool, it had no financial transactions, making QA unnecessary—at least at the outset.
Most of the early design work for Quanta Analytica was developed in real-time, captured primarily through audio recordings created during 2023 and 2024. Some of these were later compiled into podcast episodes; others remain in raw form. All recordings that explicitly reference “QA” or “Quanta Analytica” in the title have been collected into a single folder, linked below for reference.
https://siennaai.net/docs/t10t/Quanta-Analytica-Audio-Folder.php
June 2023 to October 2024
Due to a neurological condition—central sensitisation—the first eight months of 2024 were extremely painful, making extended computer use nearly impossible. As a result, my primary research shifted from written documents and webpage creation to audio recordings.
In April 2024, I discovered a useful feature in the Spotify for Podcasters CMS that allowed me to stitch together multiple recordings into a cohesive narrative. Unfortunately, Spotify retired this feature in mid-July, before the full series could be completed. As a result, later episodes reflect unfinished segments and incomplete arcs.
The best way to experience the podcast is to start at the beginning, where the story flows most clearly. Fortunately, there are two dedicated episodes focused specifically on Quanta Analytica—together offering over three hours of detailed explanation and insight. Coming up next is the general link to the podcast, followed by the two featured episodes.
https://open.spotify.com/show/1hl3hoJtgEmXQ10FlLiZIo
13th of April to 17th of July 2024
https://open.spotify.com/episode/2Rv8wWM2a7TNxxsyIPkRaS
All QA & Quanta Analytica Audio Files. For David Farley, Jez Humble, Nicole Forsgren & Gene Kim.
2 hr 8 min
17th Dec 2023 to 2nd June 2024
https://open.spotify.com/episode/30TR2sXOpNiGPQjpXqeqTh
59:23
20th to 25th July 2024
At 11:00 AM on July 18th, 2024, disaster struck 🆘⚠️—Spotify retired the podcast CMS I had been using to stitch together short-form audio recordings into longer narrative episodes. It was a brutal blow. Already dealing with intense pain from central sensitisation, I had found a workaround that allowed me to continue working—recording audio on my phone when using a computer was too painful. That workaround vanished overnight, with no paid option or alternative tool for combining segments from a mobile device.
Maybe I wouldn’t have made it through that moment without the book Surrounded by Setbacks by Thomas Erikson. I searched high and low for another service with a similarly simple tool. I never found one.
Fortunately, over time, I discovered a way to work on a computer again—lying on my back, using only my left hand, and projecting to a large screen. But at the time, the setback felt enormous. I had been orchestrating a series of modular recordings to explain the Six Modules and present proposals to the major tech companies. Suddenly, I couldn’t combine those clips into meaningful episodes. So, I pivoted.
That pivot changed everything for the better. Instead of constructing feature-based audio with stitched narration, I began recording long-form single-take stories. These episodes were more natural, more narrative—and ultimately more powerful. They began with a modern software engineering and DevOps overview, evolved into deep explorations of affiliate systems, and eventually transitioned into Š🌀ŔÉŚ macroeconomics.
The common thread across all of it? Quanta Analytica. Whether or not it’s named in the title, Quanta Analytica runs through nearly every episode of the podcast. It powers the affiliate architecture, connects the APIs, and anchors the financial system that prevents fraud. It’s the pulse of the project.
While only two shorter episodes reference Quanta Analytica by name, the entire podcast—especially the early chapters—is built upon it. What began as a workaround became a new way of working—and that process is preserved in every episode that follows.
https://www.spreaker.com/podcast/nick-ray-ball-s-podcast--6239682
https://www.spreaker.com/episode/df-71aa1-open-source-2-qa-recruitment-24jul24-m4a--60873143
4:34
24th of July 2024
https://www.spreaker.com/episode/df-71e-df69e2-welcome-to-t4-qa-s-world-film-m4a--60873226
17:04
29th of July 2024
https://www.spreaker.com/episode/df-71g2-qa-100-open-source-3-m4a--60878129
2:57
30th of July 2024
https://www.spreaker.com/episode/df-72c5-25-for-qa-is-huge-scoring-hawking-s-m4a--62015027
6:10
13th of August 2024
We now move into the core documents and webpages that define and support the Quanta Analytica system—beginning with an early public web page dated November 11th, 2023, and continuing through to January 1st, 2025.
As part of the broader OKR framework (Module 2), dozens more documents reference or support the development of Quanta Analytica. However, in this section, we focus only on those that are self-contained or presented in a relatively complete form—pages that stand on their own as milestones in the system’s evolution.
By Nick Ray Ball
https://siennaai.net/The-T2-Quanta-Analytica
Saturday – 16:04 GMT – 11th November 2023
The Quanta Analytica
Conclusion:
The Quanta Analytica system offers a groundbreaking approach to incentivizing and rewarding technological contributions within the S-World network. It tracks, rewards, and incentivizes innovations across the 10 technologies, assessing their value to the network's overall revenue and profit. The T2 TBS-CC OKRs APP begins by scoring and collaboratively scoring the hourly output of all involved, leading to a transparent and equitable system for determining individual contributions.
This innovative approach to calculating individual contributions within an organization is set to attract a wide range of talent to S-World, starting with subcontractors for the Innovate UK 2024 smart grant competition entries and extending to WordPress theme creators. The goal is to develop S-Web themes that generate revenue based not on downloads, but on the profits made by the companies using them—making a significant impact across the technological and business landscapes.
By Nick Ray Ball
Saturday – 00:19 & noon GMT – 11th November 2023
T6. UCS BUSINESS AI GAMING FOR AGES 7+, Plus THE QUANTA ANALYTICA & S-WEB
Posted by Nick Ray Ball on S-Web Blog – November 11, 2023
"Empowering the Next Generation: Unleashing Creativity and Innovation through UCS, Quanta Analytica, and S-Web"
Ladies and gentlemen, fellow visionaries, and future changemakers, tonight, we delve into the extraordinary synergy of T6 UCS Business AI Gaming for ages 7 and above, the groundbreaking Quanta Analytica, and the versatile S-Web platform.
UCS: A Playground for Smart Young Minds
Imagine a world where children as young as seven wield the power of AI to learn, create, and innovate. UCS (Universal Colonisation Simulator) isn't just a game; it's a comprehensive educational tool that integrates play with learning. It transforms the complex world of business, technology, and creativity into an accessible, fun, and engaging experience for children. Through UCS, we're nurturing a generation of intuitive, tech-savvy individuals, ready to take on the world with their knowledge and creativity.
Quanta Analytica: Rewarding Innovation
In this digital era, every contribution, be it a photograph, a piece of code, or a creative idea, holds immense value. The Quanta Analytica system is designed to track, recognize, and reward these contributions. Whether it's a photographer capturing a moment that defines a brand or a developer creating a function that revolutionizes user interaction, Quanta Analytica ensures that each contributor is acknowledged and rewarded. This system encourages constant innovation and incentivizes excellence in every task.
S-Web: The Foundation of Digital Creativity
S-Web, with its voice command technology design, is the canvas where ideas take shape. It democratizes web and app development, allowing anyone, regardless of age or technical skill, to create and innovate. The platform is more than just a tool; it's an ecosystem that nurtures creativity, encouraging users to experiment, learn, and grow.
Family Businesses and the Future of Work
In the landscape we're building, family businesses take on a new form. As children grow up interacting with AI, their understanding of technology surpasses what we know today. S-Web and UCS are designed to be intuitive and accessible, enabling children and adults alike to engage in meaningful and productive activities. From creating websites to running virtual businesses, these platforms offer a unique blend of education, entertainment, and real-world application.
Gamification of Business and Education
Our approach extends beyond conventional methods. We're gamifying business and education, making them one and the same. Imagine learning business management through a game that simulates real-world scenarios or understanding the intricacies of AI, web and APP development through interactive challenges. This method not only makes learning enjoyable but also ensures that the skills acquired are practical and relevant.
A Vision for Tomorrow's Education
Our vision is to intertwine education with real-world skills. Children, already adept with technology, will find a natural pathway in our systems, learning and growing in a digital landscape that's second nature to them. The future of education is here, where learning is not just about acquiring knowledge but about applying it in ways that matter.
Conclusion: A Call to Join the Revolution
As we look towards the future, we invite you to be a part of this transformative journey. A journey where technology, education, and business converge to create a world of endless possibilities. Join us in shaping a future where creativity is limitless, learning is continuous, and every contribution is valued.
For more insights into our vision and to become a part of this revolutionary journey, visit www.s-world.org.
Embrace the future. Empower the next generation.
Six days after the sudden loss of Spotify’s CMS—and at the very beginning of the Speaker podcast journey—I created a short but powerful video ad to showcase what the Sienna AI 'Swapping Menus Function' could do.
The ad features a girl named Jackie, sitting at a coffee table, casually speaking to her phone. In under sixty seconds, she opens the Sienna AI app and says: “Hi Sienna, let’s add a travel service to our website and app.” Sienna responds instantly, swapping menus and asking her to describe it.
Jackie replies, “Exclusive, luxury travel, tropical, palm trees.” Sienna asks if she’d like to specify a location. “Let’s see what luxuries you have in Africa,” Jackie says—and just like that, it appears. The travel section is built, styled, and live on her site. Jackie scrolls through, astonished by the high-end design: it looks like a million-dollar website.
“Wow, that’s out of the park, Sienna,” she says. “How much have we made this month?” Sienna accesses Quanta Analytica and replies, “You’ve made seventeen thousand, two hundred and twelve dollars.” Jackie asks, “How much do you suggest we invest today?” Sienna runs the numbers and responds, “With a projected ROI of 3 to 1, a seventeen-hundred-dollar investment in Google, Facebook, and Microsoft Ads will generate fifty-one hundred dollars.”
Jackie smiles and says, “OK, do it. You’re the boss.” And Sienna replies—already in motion—“It’s already done. But Jackie, you’re the boss.”
This ad demonstrated a radically different type of mobile experience—anchored by the Swapping Menus Function, which allowed Jackie to instantly reconfigure her live website via voice. But there was a deeper layer beneath that. Without the Quanta Analytica, the system wouldn’t have worked. It was Quanta Analytica that made the experience financially real—providing live earnings data and guiding the reinvestment strategy. What started as a demonstration of voice-controlled design became a story about making money by simply speaking to your phone. For social influencers and solo entrepreneurs, that’s pure gold.
At the time, mainstream phone adverts were showcasing a search feature that let users draw a circle around part of a picture and search for it online. But compared to building a full-featured business module and receiving intelligent, actionable advice—entirely through voice—that kind of functionality felt superficial. The true breakthrough here was showing how speech, when paired with a system as intuitive as the S-Web CMS and powered by Quanta Analytica, could produce real income in seconds.
As a disclaimer, this was my very first time using Descript—and compared to later productions, the ad is undeniably amateur. Visually, it’s simple: a single photo of Jackie, a screen recording scrolling through the Experience Africa website, and a 3D financial scene used to simulate Quanta Analytica, with all dialogue delivered via subtitles. And yet, despite the lack of flashy production value, the core idea remains compelling. It’s a strong concept—one that didn’t need high-end visuals to make its point.
This moment also coincided with a major milestone: Microsoft reached out after seeing the GPT-4 Python code I had used to make the Azure platform speak—part of what was then the early design for ALL-COMMs, now better known as Gatekeeper.
Unfortunately, the momentum didn’t last. The month that followed recorded the most consecutive days lost to red-zone pain in the entire project’s history. I was forced to shift away from product design and toward medical technology—desperately trying to understand what was causing the physical breakdown. But for a fleeting moment, the vision was clear, powerful, and fully alive on screen.
By Nick Ray Ball
Tuesday – 10:29 BST – 24th July 2024
(Improved with Copilot)
The conceptual foundation of Quanta Analytica is inspired by the world of music publishing—a space where the creators behind the melody are continuously rewarded for their ingenuity. Every time a song graces an advertisement, a film, or network radio, and even in the case of covers performed decades after the original release, the songwriter is compensated. I recall, quite vividly, receiving a share of £64 each time one of our tracks was played on BBC Radio 1. For our song ‘Crossfader Dominator’ featured in the FIFA 2000 video game, the royalties added up to several thousand pounds. Yet, it was advertising that truly delivered—the prospect of a BP ad, for example, carried the promise of a payout in the region of $80,000.
The inspiration for Quanta Analytica was also drawn from my ex-wife, Kate—a former Senior Director at Universal Polygram and Island Music Publishing, boasting approximately 25 gold and platinum records to her credit. Her most significant industry achievement, however, was orchestrating the introduction of two songwriters to a then-unknown UK band. The result was “Wannabe,” the debut hit of the Spice Girls. To this day, every time “Wannabe” is played, it’s the songwriters—rather than the band—who receive the royalties. While this has been industry standard, it highlights a certain imbalance.
Quanta Analytica addresses this by reimagining the value chain for creative and technical contributions within S-World. In the OKR DevOps 4.6 framework, we ensure that both the ‘songwriters’ (those who generate the foundational code and ideas) and the ‘band’ (the implementers and collaborators who bring those ideas to life) are justly rewarded. As S-World expands, so too does the reward pool for those who both ‘write’ and ‘play’ these digital symphonies—software engineers and designers alike.
Mechanistically, every transaction within S-World is recorded by the Quanta Analytica Macro. A full 25% of S-World’s gross receipts is channelled into the Quanta Analytica Micro fund. This fund is then meticulously distributed among those responsible for the ecosystem’s most impactful ‘hits’—with clear, data-driven attribution.
The process by which Quanta Analytica determines the authorship and relative value of each contribution is underpinned by the TBS (Total Business Systems) CC (Company Controller) OKR (Objectives and Key Results) suite of software. My daily tool of choice within this bouquet is OKR 4.4.4, which exemplifies the transparent, collaborative, and equitable assessment of individual and team contributions at the heart of the system.
Each emoji you encounter represents a distinct point value, serving as a tangible marker of contribution within this collaborative platform—from the very inception of an idea through to its complete realisation. The entire process is intricately entwined with behavioural science, designed not only to motivate but to inspire a level of engagement that becomes genuinely compelling—some might even say addictive.
If anyone is able to uncover an error in the “1039 Trillion” document: https://nickrayball.com/$1039_Trillion_BASIC.php, I will be both disappointed and sincerely grateful. Over time, I have encountered and resolved numerous bugs myself, each correction ultimately fortifying the system further. Indeed, the comprehensive political solution found in Technology 8, for instance, was born directly from addressing the tax bug that afflicted the original RES model back in 2012 (americanbutterfly.org). And should anyone discover a critical flaw, at least I will know—and can then focus my efforts on other facets of the theory.
This is the grand vision before us. On the ☆DF podcast, you’ll find a wealth of political use cases demonstrating the software’s versatility and reach. The 2022 “UK Butterfly” paper, for example, imagines the UK government contributing 33%—with each incremental improvement ensuring greater tax collection, benefiting all stakeholders through this innovative approach.
Unlike other technologies, Quanta Analytica must remain universal—integral to every platform with which we align. How, precisely, this will be achieved is something I trust the experts will refine and perfect.
By Nick Ray Ball
Thursday – 18:05 BST – 22nd August 2024
T2-8. The Quanta Analytica – QA Affiliate System – Inc T4 Royalties Component
Between November 2024 and February 2025, I focused intensively on the GP-AI Gatekeeper 2025 design for Innovate UK. As part of that submission, two significant addendums were created: one on Delivering the Project and the other a Risk Register, both structured around OKRs and indirectly referencing Quanta Analytica. While Quanta Analytica was not part of the original Gatekeeper product—since there was no financial transaction layer in the NHS deployment—the broader implications of the QA system were still present. The system was always intended for scalable application across global healthcare markets, integrating eventually with other GP-AI medical modules.
These documents offer a valuable insight into the structural design of the OKR and accountability systems that underpin Quanta Analytica. They are hosted in the dedicated GP-AI Gatekeeper folder, and the full submission—with 11 supplementary documents—is available at:
One of the most significant outcomes presented in Video 1 of the Gatekeeper project is its economic potential:
In 2011, ⚛️ Sienna AI Founder Nick Ray Ball began researching macroeconomic AI systems.
In 2025, the first system he presented to Innovate UK showcased an annual 💷💷 £112 to £147 Billion Economic Gain.
💼 https://siennaai.net/docs/t10t/2088.php
By Nick Ray Ball
Wednesday – 19:42 GMT – 1st January 2025
By Nick Ray Ball
Sunday – 18:11 GMT – 30th March 2025
Inspired by: ☆DF96a1. The Unique Features in the 6 Modules