<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Talon on Alex Opak | Software Architect</title><link>http://opakalex.github.io/tags/talon/</link><description>Recent content in Talon on Alex Opak | Software Architect</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 22 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="http://opakalex.github.io/tags/talon/index.xml" rel="self" type="application/rss+xml"/><item><title>Human-in-the-Loop, the Business-Comfort Zone, and Vigilance Theory</title><link>http://opakalex.github.io/posts/human-in-the-loop-vigilance/</link><pubDate>Mon, 22 Jun 2026 00:00:00 +0000</pubDate><guid>http://opakalex.github.io/posts/human-in-the-loop-vigilance/</guid><description>Human-in-the-Loop is sold as a quality guarantee for AI decisions. In practice it is a business-comfort zone &amp;ndash; a place where a living person carries the responsibility for decisions they do not actually control.</description></item><item><title>Code Mode for MCP</title><link>http://opakalex.github.io/posts/code-mode-for-mcp/</link><pubDate>Fri, 29 May 2026 00:00:00 +0000</pubDate><guid>http://opakalex.github.io/posts/code-mode-for-mcp/</guid><description>LLMs are excellent at writing code, but bad at making business decisions. Cloudflare&amp;rsquo;s Code Mode idea &amp;ndash; let the model write the script, and let an expert system run it &amp;ndash; is a natural fit for EITL. A claims-processing example in the Talon language.</description></item><item><title>Enterprise AI Orchestration</title><link>http://opakalex.github.io/posts/enterprise-ai-orchestration/</link><pubDate>Thu, 28 May 2026 00:00:00 +0000</pubDate><guid>http://opakalex.github.io/posts/enterprise-ai-orchestration/</guid><description>Managing AI agents in the enterprise means solving for security, knowledge access, and orchestration at the same time. A look at OpenTalon &amp;ndash; an EITL-first framework that combines LLMs with expert rules for corporate AI architecture.</description></item><item><title>LLM, Neural Network, or Expert System?</title><link>http://opakalex.github.io/posts/llm-neural-network-or-expert-system/</link><pubDate>Wed, 27 May 2026 00:00:00 +0000</pubDate><guid>http://opakalex.github.io/posts/llm-neural-network-or-expert-system/</guid><description>Each kind of system makes a different kind of decision. LLMs generate language, neural networks find patterns, expert systems make the call. A look at why the boundary matters &amp;ndash; and how the real world runs on it.</description></item><item><title>Expert in the Loop (EITL)</title><link>http://opakalex.github.io/posts/expert-in-the-loop/</link><pubDate>Wed, 13 May 2026 00:00:00 +0000</pubDate><guid>http://opakalex.github.io/posts/expert-in-the-loop/</guid><description>Why Human-in-the-Loop (HITL) is a bottleneck, and how Expert-in-the-Loop (EITL) with deterministic expert systems alongside LLMs offers a better paradigm for AI-driven decision making.</description></item></channel></rss>