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      <image:caption>Figure 11. The three-pillar agentic web surface: three trust levels over one capability registry</image:caption>
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      <image:caption>Figure 10. Channel surfaces grouped by the job they do in the buyer’s journey</image:caption>
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      <image:caption>Figure 9. The Data Plane: the line between owned state and read sources</image:caption>
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      <image:caption>Figure 8. The Execution Plane: two hosts on shared infrastructure</image:caption>
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      <image:caption>Figure 6. The Context Engine: four libraries and the learning loop that refreshes them</image:caption>
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      <image:caption>Figure 4. The composable reference architecture</image:caption>
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      <image:caption>Figure 3. Two theories of how an agent acquires context</image:caption>
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      <image:caption>Figure 2. Context window on one production agent instance, progressive disclosure off and on</image:caption>
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      <image:caption>Figure 9 — The Data Plane: the line between owned state and read sources</image:caption>
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      <image:caption>Figure 8 — The Execution Plane: two hosts on shared infrastructure</image:caption>
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      <image:caption>Figure 7 — The Tool Plane: seven clusters and the channel surfaces they provide</image:caption>
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      <image:caption>Figure 4 — The composable reference architecture</image:caption>
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      <image:caption>Figure 1. The four planes, read from the top down. You: ask in plain language, approve the decisions that are yours, override when needed. Cognition, the system that reasons. Tool, the universal MCP surface, everything it can do. Execution, where it runs. Data, what it knows: your master records, owned outside every tool, plus the external sources it reads.</image:caption>
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      <image:caption>Figure 2. Two context windows side by side. Load everything, always: 168.6 percent of the window used, 778.9K tokens of tool definitions, nothing free for work. Progressive disclosure: 4.3 percent used, zero tokens of tool definitions, 454.7K free for work.</image:caption>
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