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    <title>Tactical-Ai on Coyote Time</title>
    <link>https://blog.jonmikeys.com/tags/tactical-ai/</link>
    <description>Recent content in Tactical-Ai on Coyote Time</description>
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      <title>Part 2: When Waypoints Learn About Visibility</title>
      <link>https://blog.jonmikeys.com/posts/when-waypoints-learn-about-visibility/</link>
      <pubDate>Sun, 21 Jun 2026 00:00:00 +0000</pubDate>
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      <description>A waypoint graph is useful for movement. It becomes more valuable when it also models exposure.&#xA;If each node knows what it can see, the graph can answer tactical questions, not just pathfinding questions.&#xA;Visibility is the tactical signal Visibility tells you several things at once:&#xA;whether a position is exposed whether it provides cover whether it is good for attacking from whether a route is safe to travel whether the position is likely to attract return fire That makes visibility one of the strongest signals in tactical AI.</description>
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      <title>Part 5: A Practical Tactical Awareness System, Starting Small</title>
      <link>https://blog.jonmikeys.com/posts/practical-tactical-awareness-system-starting-small/</link>
      <pubDate>Sun, 21 Jun 2026 00:00:00 +0000</pubDate>
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      <description>A tactical awareness system should start small.&#xA;The first version does not need to model everything. It needs to answer one or two useful questions clearly.&#xA;Start with one signal The first step is to pick one tactical signal that is easy to measure.&#xA;Good candidates are:&#xA;visibility cover a small penalty for exposed paths The point is not completeness. The point is to get a result that changes behavior in a useful way.</description>
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