<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[John Harby]]></title><description><![CDATA[Founder and CEO]]></description><link>https://www.functormodel.ai/blog</link><generator>RSS for Node</generator><lastBuildDate>Wed, 12 Aug 2026 11:30:18 GMT</lastBuildDate><atom:link href="https://www.functormodel.ai/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Unlocking Remote AI Services Benefits: The Power of Automation Consulting]]></title><description><![CDATA[In today’s fast-evolving technological landscape, businesses are increasingly turning to artificial intelligence (AI) and machine learning (ML) to drive innovation and operational efficiency. The integration of AI solutions is no longer a luxury but a necessity for companies aiming to stay competitive. One of the most effective ways to harness AI’s potential is through remote AI automation consulting. This approach offers a strategic advantage by combining expert guidance with the flexibility...]]></description><link>https://www.functormodel.ai/post/unlocking-remote-ai-services-benefits-the-power-of-automation-consulting</link><guid isPermaLink="false">69a0d4fcfa78e209eb89835e</guid><pubDate>Mon, 02 Mar 2026 16:35:07 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/76673b_af6af0feb5f14cafadde77fdaf895f85~mv2.png/v1/fit/w_1000,h_576,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[How to Effectively Submit an AI Automation Quote Request]]></title><description><![CDATA[Businesses today face increasing pressure to innovate and optimize operations through advanced AI and machine learning technologies. To meet these demands, many seek tailored AI automation solutions that deliver measurable efficiency gains and sustainable performance improvements. Understanding how to navigate the process of obtaining a custom AI automation quote is essential for making informed decisions and securing the best value. This article provides a comprehensive guide on submitting...]]></description><link>https://www.functormodel.ai/post/how-to-effectively-submit-an-ai-automation-quote-request</link><guid isPermaLink="false">699e2fe3e9360bd69c34bc5e</guid><pubDate>Wed, 25 Feb 2026 00:09:08 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/76673b_c12f718463744ef9a3ed6613a4ad4142~mv2.png/v1/fit/w_1000,h_768,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Enhance Your Business with AI Automation: ai business transformation strategies]]></title><description><![CDATA[In today’s rapidly evolving technological landscape, businesses must adopt innovative solutions to stay competitive. AI automation offers a powerful avenue to streamline operations, reduce costs, and improve decision-making. By integrating AI-driven systems, companies can unlock new levels of efficiency and accuracy, transforming traditional workflows into intelligent, self-optimizing processes. This article explores practical strategies for leveraging AI automation to enhance business...]]></description><link>https://www.functormodel.ai/post/enhance-your-business-with-ai-automation-ai-business-transformation-strategies</link><guid isPermaLink="false">6994e8356df156fdbea14de0</guid><pubDate>Mon, 23 Feb 2026 17:10:13 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/76673b_070bcbf90147496ca647479bc1c7563d~mv2.png/v1/fit/w_1000,h_576,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Discover Autonomic AI LLC's Flexible AI Solutions Pricing Options (under construction)]]></title><description><![CDATA[Businesses today demand AI and machine learning solutions that are not only cutting-edge but also cost-effective and adaptable. Autonomic AI LLC addresses this need by offering flexible pricing plans tailored to diverse operational requirements. Their approach combines mathematical rigor, energy efficiency, and high accuracy to deliver AI solutions that elevate automation and performance standards. This article explores the various pricing options available, helping you make an informed...]]></description><link>https://www.functormodel.ai/post/discover-autonomic-ai-llc-s-flexible-ai-solutions-pricing-options-under-construction</link><guid isPermaLink="false">699279d86afbe985b7a18f09</guid><pubDate>Mon, 16 Feb 2026 02:00:27 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/76673b_f4680bc772264434b396d78890efd78a~mv2.png/v1/fit/w_1000,h_768,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Autonomic AI Services Overview: Discover the Services of Autonomic AI LLC]]></title><description><![CDATA[Autonomic AI LLC is setting a new benchmark in the AI and machine learning landscape. Their mission is clear: to develop and implement mathematically proven, energy-efficient, and highly accurate AI solutions that empower businesses to reach unprecedented levels of automation and performance. This article explores the core services offered by Autonomic AI LLC, providing you with a detailed understanding of how these solutions can transform your operations and drive innovation. Autonomic AI...]]></description><link>https://www.functormodel.ai/post/autonomic-ai-services-overview-discover-the-services-of-autonomic-ai-llc</link><guid isPermaLink="false">699233adcf429c4fcb49d617</guid><pubDate>Sun, 15 Feb 2026 21:10:16 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/76673b_406bcf2162ad46b0ad69951aeba79da7~mv2.png/v1/fit/w_1000,h_768,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Agentic AI Architecture: 80% Energy Reduction with Six Sigma Accuracy]]></title><description><![CDATA[Autonomic AI LLC developed the Agentic Completeness Platform to enable adaptive, self-evolving AI pipelines. The system uses  components deployed with Docker and cloud  monitoring to ensure secure and scalable operation. The platform integrates functor models  that dynamically reconfigure internal functions without retraining. This design delivers up to 80% energy reduction  and Six Sigma-level accuracy  across all AI operations, both learning and inference. Autonomic AI’s solution...]]></description><link>https://www.functormodel.ai/post/agentic-ai-architecture-80-energy-reduction-with-six-sigma-accuracy</link><guid isPermaLink="false">68f7a67fa6f2484f3c9eb41d</guid><category><![CDATA[AI Code Generation]]></category><pubDate>Tue, 21 Oct 2025 15:28:45 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/76673b_4b511cd80632405eaddf4bf80dbb4599~mv2.png/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Deployment Strategy: Six Sigma Accuracy via Canonical DSL Precomputation]]></title><description><![CDATA[This document outlines a detailed strategy for achieving Six Sigma (99.99966%) accuracy in a GenAI-based code generation system by...]]></description><link>https://www.functormodel.ai/post/deployment-strategy-six-sigma-accuracy-via-canonical-dsl-precomputation</link><guid isPermaLink="false">6893861c9ac5e3b05d2f0c30</guid><pubDate>Wed, 06 Aug 2025 16:54:47 GMT</pubDate><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Template-Driven Agent Generation with Six Sigma Accuracy]]></title><description><![CDATA[Overview This module enables the generation of autonomous agents from validated templates using a canonical DSL and Six Sigma...]]></description><link>https://www.functormodel.ai/post/template-driven-agent-generation-with-six-sigma-accuracy</link><guid isPermaLink="false">689235f63790b6e3708190fe</guid><pubDate>Tue, 05 Aug 2025 16:49:55 GMT</pubDate><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Six Sigma Code Generator: Implementation Guide]]></title><description><![CDATA[Version: August 2025 Prepared for: Implementation Engineers Prepared by: John Harby, Autonomic AI, LLC NOTE: As a warning this is a first...]]></description><link>https://www.functormodel.ai/post/six-sigma-code-generator-implementation-guide</link><guid isPermaLink="false">688dd399b00b0ea0c7428e3c</guid><pubDate>Sat, 02 Aug 2025 09:07:39 GMT</pubDate><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Unified Prompt-Mapped Architecture for Structured and Unstructured Data]]></title><description><![CDATA[John Harby Core Insight Replace backend bifurcation with an agent-driven index that supports rehydration of structure from raw data—using...]]></description><link>https://www.functormodel.ai/post/unified-prompt-mapped-architecture-for-structured-and-unstructured-data</link><guid isPermaLink="false">688d8017ff23a30e02042b70</guid><pubDate>Sat, 02 Aug 2025 03:09:17 GMT</pubDate><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Approximation Theory for Discrete and Mixed Functions]]></title><description><![CDATA[John Harby prompted Claude 4 Claude 4 created most of this. Notice in the prior post regarding the topology and model selection I had...]]></description><link>https://www.functormodel.ai/post/approximation-theory-for-discrete-and-mixed-functions</link><guid isPermaLink="false">688c549513368d1676b0f268</guid><pubDate>Fri, 01 Aug 2025 05:49:42 GMT</pubDate><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Quotient Topology and Prompt Reduction in LLMs]]></title><description><![CDATA[Definitions Let:- X be a topological space (the space of prompts, possibly with a discrete topology if we don’t want to assume any prior...]]></description><link>https://www.functormodel.ai/post/quotient-topology-in-prompt-space-reduction</link><guid isPermaLink="false">688b972f45ab709d6d054297</guid><category><![CDATA[AI Code Generation]]></category><pubDate>Thu, 31 Jul 2025 16:29:04 GMT</pubDate><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Sigma-Level Improvement through a DSL Reduction and Quotient Semigroup Normalization]]></title><description><![CDATA[John Harby I'm using the term "DSL" loosely. In expanding support and utilizing my canonical DSL I have begun to support what many...]]></description><link>https://www.functormodel.ai/post/sigma-level-improvement-through-a-dsl-reduction-and-quotient-semigroup-normalization</link><guid isPermaLink="false">688b958de1edf7f18f1dad6d</guid><category><![CDATA[AI Code Generation]]></category><pubDate>Thu, 31 Jul 2025 16:15:58 GMT</pubDate><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Transformation-Aware Equivalence Class Framework for Code Generation - "The Sidecar"]]></title><description><![CDATA[John Harby 1. Motivation In the GenAI code generation pipeline, a powerful optimization involves determining whether a new incoming...]]></description><link>https://www.functormodel.ai/post/transformation-aware-equivalence-class-framework-for-code-generation-the-sidecar</link><guid isPermaLink="false">688b88d1e1edf7f18f1d8f82</guid><pubDate>Thu, 31 Jul 2025 15:23:31 GMT</pubDate><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Deployment Strategies for Automated AI Architectures]]></title><description><![CDATA[John Harby This section addresses deployment strategies across various environments, with a focus on maximizing automation and minimizing...]]></description><link>https://www.functormodel.ai/post/deployment-strategies-for-automated-ai-architectures</link><guid isPermaLink="false">6889a87ed68b363aebf86153</guid><pubDate>Wed, 30 Jul 2025 05:15:45 GMT</pubDate><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Test Coverage Inheritance Strategy for Generated Code]]></title><description><![CDATA[John Harby I'm proposing what could be called a coverage extrapolation strategy or coverage inheritance model, and it has real value when...]]></description><link>https://www.functormodel.ai/post/test-coverage-inheritance-strategy-for-generated-code</link><guid isPermaLink="false">688990d5a1ccd6aa39886c9b</guid><pubDate>Wed, 30 Jul 2025 03:37:05 GMT</pubDate><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Theorem on Ontology Closure and Stratified Prompt Validity]]></title><description><![CDATA[Abstract: This document presents a formal theorem and proof establishing the conditions under which an ontology, formed as an exact union...]]></description><link>https://www.functormodel.ai/post/theorem-on-ontology-closure-and-stratified-prompt-validity</link><guid isPermaLink="false">6886a26c3f524736c9dfeffb</guid><pubDate>Sun, 27 Jul 2025 22:06:21 GMT</pubDate><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Ontology as Enriched Composition of Taxonomies]]></title><description><![CDATA[John Harby 1. Introduction This document formalizes the relationship between taxonomies and ontologies, demonstrating that ontologies can...]]></description><link>https://www.functormodel.ai/post/ontology-as-enriched-composition-of-taxonomies</link><guid isPermaLink="false">6886a065594e3699b6149b14</guid><pubDate>Sun, 27 Jul 2025 21:58:28 GMT</pubDate><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Adaptive Bus for GenAI Pipelines]]></title><description><![CDATA[John Harby Runtime Weaving, Secure Composition, and Test Optimization 1. Introduction This document proposes a revival and evolution of...]]></description><link>https://www.functormodel.ai/post/adaptive-bus-for-genai-pipelines</link><guid isPermaLink="false">68867de86ab2534c7b087aaa</guid><pubDate>Sun, 27 Jul 2025 19:33:12 GMT</pubDate><dc:creator>John Harby</dc:creator></item><item><title><![CDATA[Ontology Alignment Equivalence Theorem]]></title><description><![CDATA[John Harby Theorem Statement Let O = { o₁, o₂, …, oₙ } be a source ontology (e.g., HL7 semantic types), and let D = { d₁, d₂, …, dₘ } be...]]></description><link>https://www.functormodel.ai/post/ontology-alignment-equivalence-theorem</link><guid isPermaLink="false">68867b893e8ce4b074201b6d</guid><pubDate>Sun, 27 Jul 2025 19:23:43 GMT</pubDate><dc:creator>John Harby</dc:creator></item></channel></rss>