Please look at these 2 YouTube videos which will bring you up-to-speed. The first one covers the business case. The second covers the technical basics: 1. https://youtu.be/0wVjmjTd1-E 2. https://youtu.be/Ymk4p8Kc4Zc As always, if you have any questions about our Phase 1 milestone completion, let me know. Best Regards, Phil

The AI automation market no longer rewards the most technical agencies—it rewards those that can prove how workflows improve with real business evidence. The TITON Charter Fleet is a working collaborative for GHL / HL and AI Automation Agencies using a POP approach to shape TITON Suite 2026. Through the TITON Challenge, members build measurable proof, contribute to Shared Industry Intelligence, and help define the future TITON SaaS MRR engine. Limited to 50 agencies. 4 Min. 43 Sec.

FOR IMMEDIATE RELEASE Lean Enterprise Institute Launches Formal LeanTech/AI Initiative A dedicated initiative to help organizations apply lean thinking and practice to the technology layer of their operations, including the design, deployment, and continuous improvement of AI-enabled systems. MARCH 2026 The Lean Enterprise Institute (LEI), the nonprofit founded in 1997 by Dr. James P. Womack to advance lean thinking and practice in organizations worldwide, has formally launched its LeanTech/AI Initiative, a dedicated effort to help organizations apply lean to the technology layer of their operations. The initiative is led by Tyson Heaton, Executive Director of LeanTech/AI at LEI, and anchored by a faculty of practitioners whose work is rooted in the Toyota Production System and spans enterprise software transformation, AI-enabled lean coaching tools, and technology-native lean practice. At its core, the initiative rests on a straightforward premise: the same discipline that made lean thinking effective in manufacturing, supply chain, and services (understand the work, build capability in people, improve continuously) is now both applicable and necessary in the ever-evolving technology environments that run modern organizations. Why Now Lean thinking has a well-established track record in physical value streams. Applying it to technology environments has been harder. Information workflows are largely invisible, moving between systems and people without leaving a physical trace, which means the waste is harder to see and the work required to surface it is more deliberate. Lean has the tools for this: value-stream mapping, visual management, structured problem solving. What it has lacked, until recently, is a technology layer malleable enough to act on what those tools reveal. AI is changing that. Information systems are becoming genuinely responsive to the organizations using them. Processes locked inside legacy architectures can now be surfaced, mapped, and redesigned at a pace that makes continuous improvement practical. The technology layer of the business, for the first time, is inside the kaizen cycle.

May 5th, 2025 Former Google CEO Eric Schmidt predicts AI will replace most programmers within a year. We agree — but that’s not the whole story. AI can replace scripts. It can’t replace leadership. It can’t replace systems thinking. It can’t replace mission-driven teams verified as human. Our response: We don’t just train coders — We forge AI-powered leaders fluent in tech, fluent in people, and impossible to replace. https://www.msn.com/en-us/video/money/former-google-ceo-predicts-ai-will-replace-most-programmers-in-a-year/vi-AA1Dqdnn?ocid=socialshare&cvid=1e6632135df243ecb667d7aeba9703ea&ei=41 Another quote from Eric: "People do not understand what happens when you have this level of intelligence, largely for free, at this point in history. That's the point."

GPT 4.1, GPT 4.1 Mini, and GPT 4.1 Nano are all available now—and will help OpenAI compete with Google and Anthropic. Will Knight - Wired Magazine - April 4th 2025 OpenAI announced today that it is releasing a new family of artificial intelligence models optimized to excel at coding, as it ramps up efforts to fend off increasingly stiff competition from companies like Google and Anthropic. The models are available to developers through OpenAI’s application programming interface (API). OpenAI is releasing three sizes of models: GPT 4.1, GPT 4.1 Mini, and GPT 4.1 Nano. Kevin Weil, chief product officer at OpenAI, said on a livestream that the new models are better than OpenAI’s most widely used model, GPT-4o, and better than its largest and most powerful model, GPT-4.5, in some ways. GPT-4.1 scored 55 percent on SWE-Bench, a widely used benchmark for gauging the prowess of coding models. The score is several percentage points above that of other OpenAI models. The new models are “great at coding, they’re great at complex instruction following, they’re fantastic for building agents,” Weil said. The capacity for AI models to write and edit code has improved significantly in recent months, enabling more automated ways of prototyping software and improving the abilities of so-called AI agents. Rivals like Anthropic and Google have both introduced models that are especially good at writing code. The arrival of GPT-4.1 has been widely rumored for weeks. OpenAI apparently tested the model on some popular leaderboards under the pseudonym Alpha Quasar, sources say. Some users of the “stealth” model reported impressive coding abilities. “Quasar fixed all the open issues I had with other code genarated [sic] via llms’s which was incomplete,” one person wrote on Reddit.