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    <title>ThruWire Blog</title>
    <link>https://thruwire.ai</link>
    <description>Thoughts on context, leverage, and building with AI.</description>
    <language>en</language>
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    <item>
      <title>In the Token Stream: Architectural Options for Monetizing AI</title>
      <link>https://thruwire.ai/blog/in-the-token-stream-architectural-options-for-monetizing-ai</link>
      <description>AI companies can tie revenue to inference by owning the model path, agent runtime, or integration layer, but each added toll must justify its cost.</description>
      <pubDate>Thu, 10 Sep 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/in-the-token-stream-architectural-options-for-monetizing-ai</guid>
    </item>
    <item>
      <title>Designing for Mistrust: Architectures for Building Around Untrusted AI</title>
      <link>https://thruwire.ai/blog/designing-for-mistrust-architectures-for-building-around-untrusted-ai</link>
      <description>Trustworthy AI systems keep consequential authority in deterministic control planes, sandboxes, policies, and independent verification around the model.</description>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/designing-for-mistrust-architectures-for-building-around-untrusted-ai</guid>
    </item>
    <item>
      <title>LLM-as-Judge Architectures: Putting Evals Into Your Agent Runtime</title>
      <link>https://thruwire.ai/blog/llm-as-judge-architectures-putting-evals-into-your-agent-runtime</link>
      <description>LLM judges are moving from offline evaluation into runtime control flow, creating powerful new feedback loops and new production risks.</description>
      <pubDate>Tue, 08 Sep 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/llm-as-judge-architectures-putting-evals-into-your-agent-runtime</guid>
    </item>
    <item>
      <title>Multiplayer AI: Competing Architectures for Human-Agent Collaboration</title>
      <link>https://thruwire.ai/blog/multiplayer-ai-competing-architectures-for-human-agent-collaboration</link>
      <description>Multiplayer AI can share conversations, sessions, harnesses, graphs, memory, or work; the key decision is which state must remain durable.</description>
      <pubDate>Mon, 07 Sep 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/multiplayer-ai-competing-architectures-for-human-agent-collaboration</guid>
    </item>
    <item>
      <title>AI-Powered Data Warehouses: Architectural Lessons for Every AI Product</title>
      <link>https://thruwire.ai/blog/ai-powered-data-warehouses-architectural-lessons-for-every-ai-product</link>
      <description>The data stack offers an early view of how mature systems can add inference and agents while preserving governance, semantics, and deterministic foundations.</description>
      <pubDate>Thu, 03 Sep 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/ai-powered-data-warehouses-architectural-lessons-for-every-ai-product</guid>
    </item>
    <item>
      <title>How Much of Your Architecture Is a Temporary Model Workaround?</title>
      <link>https://thruwire.ai/blog/how-much-of-your-architecture-is-a-temporary-model-workaround</link>
      <description>AI architecture is built around model limits that keep moving, forcing builders to distinguish durable product structure from temporary workarounds.</description>
      <pubDate>Wed, 02 Sep 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/how-much-of-your-architecture-is-a-temporary-model-workaround</guid>
    </item>
    <item>
      <title>Agent Memory Roundup 2026: The Race to Build Universal Memory for AI</title>
      <link>https://thruwire.ai/blog/agent-memory-roundup-2026-the-race-to-build-universal-memory-for-ai</link>
      <description>As many agents work across models and applications, shared external memory is becoming a durable operational data layer rather than a feature of one assistant.</description>
      <pubDate>Tue, 01 Sep 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/agent-memory-roundup-2026-the-race-to-build-universal-memory-for-ai</guid>
    </item>
    <item>
      <title>AI Builders: Stop Passing Around Text. Give AI Work a Data Model.</title>
      <link>https://thruwire.ai/blog/ai-builders-stop-passing-around-text-give-ai-work-a-data-model</link>
      <description>Durable AI work needs identity, types, relationships, and provenance instead of being repeatedly flattened into text and reconstructed later.</description>
      <pubDate>Fri, 21 Aug 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/ai-builders-stop-passing-around-text-give-ai-work-a-data-model</guid>
    </item>
    <item>
      <title>Context Is Data: AI Builders Should Start Treating It That Way</title>
      <link>https://thruwire.ai/blog/context-is-data-ai-builders-should-start-treating-it-that-way</link>
      <description>Context determines what an AI system knows and produces, so it needs the schemas, lineage, controls, and quality discipline applied to other critical data.</description>
      <pubDate>Thu, 20 Aug 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/context-is-data-ai-builders-should-start-treating-it-that-way</guid>
    </item>
    <item>
      <title>Reality Check: A Lot of Frontier AI Is Just Really Good Engineering</title>
      <link>https://thruwire.ai/blog/reality-check-a-lot-of-frontier-ai-is-just-really-good-engineering</link>
      <description>Many apparent model gains come from strong systems engineering around inference, a lesson application builders can use without training frontier models.</description>
      <pubDate>Fri, 14 Aug 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/reality-check-a-lot-of-frontier-ai-is-just-really-good-engineering</guid>
    </item>
    <item>
      <title>Your Agents Need Boundaries. Please Keep Them in a Data Sandbox.</title>
      <link>https://thruwire.ai/blog/your-agents-need-boundaries-please-keep-them-in-a-data-sandbox</link>
      <description>Agents need broad access to useful information without owning the pipelines, provenance, and decisions that determine what reaches their context.</description>
      <pubDate>Mon, 10 Aug 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/your-agents-need-boundaries-please-keep-them-in-a-data-sandbox</guid>
    </item>
    <item>
      <title>If You’re Not Doing These 4 Types of Caching, You’re Wasting Tokens</title>
      <link>https://thruwire.ai/blog/if-youre-not-doing-these-4-types-of-caching-youre-wasting-tokens</link>
      <description>Prompt, tool-response, output, and structured-data caching can make agent systems faster, cheaper, and more context-efficient.</description>
      <pubDate>Thu, 06 Aug 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/if-youre-not-doing-these-4-types-of-caching-youre-wasting-tokens</guid>
    </item>
    <item>
      <title>I’ve Seen This Movie Before: What AI Builders Can Learn From Data Engineering</title>
      <link>https://thruwire.ai/blog/ive-seen-this-movie-before-what-ai-builders-can-learn-from-data-engineering</link>
      <description>AI systems can borrow proven data-engineering patterns for dependencies, transformation, state, and interfaces instead of relearning them.</description>
      <pubDate>Tue, 04 Aug 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/ive-seen-this-movie-before-what-ai-builders-can-learn-from-data-engineering</guid>
    </item>
    <item>
      <title>I Paid for These Reasoning Tokens, So Why Can’t I See Them?</title>
      <link>https://thruwire.ai/blog/i-paid-for-these-reasoning-tokens-so-why-cant-i-see-them</link>
      <description>Reasoning tokens create valuable work that usually disappears; durable artifacts can preserve the useful structure for the next iteration.</description>
      <pubDate>Mon, 13 Jul 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/i-paid-for-these-reasoning-tokens-so-why-cant-i-see-them</guid>
    </item>
    <item>
      <title>Self-Improving Agents, But Improving at What?</title>
      <link>https://thruwire.ai/blog/self-improving-agents-but-improving-at-what</link>
      <description>Self-improving agents optimize prompts, skills, and workflows, but the bigger opportunity is reusable structure that transfers across new kinds of work.</description>
      <pubDate>Thu, 09 Jul 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/self-improving-agents-but-improving-at-what</guid>
    </item>
    <item>
      <title>Code Mode Over MCP: Escaping the Tool Maze</title>
      <link>https://thruwire.ai/blog/code-mode-over-mcp-escaping-the-tool-maze</link>
      <description>Code mode turns MCP from a maze of individual tool calls into a programmable product surface shaped by a semantic SDK.</description>
      <pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/code-mode-over-mcp-escaping-the-tool-maze</guid>
    </item>
    <item>
      <title>Why We Wrote Down Our Viewpoint</title>
      <link>https://thruwire.ai/blog/why-we-wrote-down-our-viewpoint</link>
      <description>After six months of building ThruWire, the same structural problems kept showing up across AI systems, pushing us to make our point of view explicit.</description>
      <pubDate>Mon, 06 Apr 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/why-we-wrote-down-our-viewpoint</guid>
    </item>
    <item>
      <title>AI Has an Authority Problem</title>
      <link>https://thruwire.ai/blog/ai-has-an-authority-problem</link>
      <description>AI systems encode a hierarchy of control that shapes decisions, often without humans participating in the reasoning that produces confident answers.</description>
      <pubDate>Thu, 26 Feb 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/ai-has-an-authority-problem</guid>
    </item>
    <item>
      <title>Our Memories Are Executable Code</title>
      <link>https://thruwire.ai/blog/our-memories-are-executable-code</link>
      <description>Human memory preserves structure more than content, and that procedural logic is what current AI memory systems still cannot replay.</description>
      <pubDate>Tue, 17 Feb 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/our-memories-are-executable-code</guid>
    </item>
    <item>
      <title>It&apos;s 11am: Do You Know Where Your (Human) Users Are?</title>
      <link>https://thruwire.ai/blog/its-11am-do-you-know-where-your-human-users-are</link>
      <description>As users move their thinking into AI chats, software companies risk becoming mere infrastructure. The durable moat is structured domain judgment and customer context that keeps professional thinking inside the product.</description>
      <pubDate>Tue, 10 Feb 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/its-11am-do-you-know-where-your-human-users-are</guid>
    </item>
    <item>
      <title>The Organization Was Aligned. Until AI Assistants Showed Up</title>
      <link>https://thruwire.ai/blog/the-organization-was-aligned-the-system-is-not</link>
      <description>Lencioni’s alignment playbook assumed every actor was human. With AI in the system, cultural clarity isn’t enough; organizations need explicit, structural reasoning to keep humans and AI aligned.</description>
      <pubDate>Sat, 07 Feb 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/the-organization-was-aligned-the-system-is-not</guid>
    </item>
    <item>
      <title>The Last Alpha is Human</title>
      <link>https://thruwire.ai/blog/the-last-alpha-is-human</link>
      <description>As models converge, the advantage shifts to the human-authored thinking substrate that aligns people and AI. A personal story of compounding alignment and the thesis behind ThruWire.</description>
      <pubDate>Wed, 04 Feb 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/the-last-alpha-is-human</guid>
    </item>
    <item>
      <title>The Harder the Problem, the More Human It Gets</title>
      <link>https://thruwire.ai/blog/the-harder-the-problem-the-more-human-it-gets</link>
      <description>AI is brilliant in the moment, but the hardest work is the arc of reasoning that compounds over time. This essay explains why that arc is still human and what tools are missing.</description>
      <pubDate>Sun, 01 Feb 2026 00:00:00 GMT</pubDate>
      <guid>https://thruwire.ai/blog/the-harder-the-problem-the-more-human-it-gets</guid>
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