diff --git a/TaskForces/Interoperability/Reports/report-interoperability.html b/TaskForces/Interoperability/Reports/report-interoperability.html
index f139ca0..77f59f8 100644
--- a/TaskForces/Interoperability/Reports/report-interoperability.html
+++ b/TaskForces/Interoperability/Reports/report-interoperability.html
@@ -206,6 +206,43 @@ <h3>Agentic AI</h3>
           </aside>
         </section>
 
+        <section data-dfn-for="Foo">
+          <h3 id="interface-level-interoperability">Interface-Level Interoperability: Human–Agent Co-Presence and Civic Affordances</h3>
+
+          <p>
+          While interoperability discussions traditionally emphasize protocols, APIs, and data schemas, an essential layer of agent interaction remains underexplored: the <strong>interface layer</strong>, where humans and agents co-exist and collaborate in shared environments. As autonomous agents grow more persistent, proactive, and socially embedded, the Web must evolve to support not just agent-to-agent communication but <strong>human–agent co-presence</strong>.
+          </p>
+          
+          <ul>
+            <li><strong>Legibility</strong>: Mechanisms to make agent intent, status, and provenance transparent to users at runtime</li>
+            <li><strong>Interruptibility</strong>: Affordances that allow users to pause, redirect, or override agent behavior</li>
+            <li><strong>Consent Signaling</strong>: Contextual protocols for granular consent and revocation at the interface level</li>
+            <li><strong>Civic Infrastructure</strong>: Browser overlays, shared annotation spaces, and governance zones that allow communities to coordinate around agent behavior</li>
+          </ul>
+          
+          <p>
+          This reframes interoperability not merely as technical compatibility but as <strong>civic legibility and mutual accountability</strong> in human–agent ecosystems.
+          </p>
+          
+          <p>
+          A forthcoming chapter in the <em>Encyclopedia of Modern Artificial Intelligence</em> (“Community-Governed AI Containment Above the Webpage”) introduces the notion of <strong>Safe Human-AI Co-existence</strong>, a developmental containment model grounded in three interlocking pillars:
+          </p>
+          
+          <ol>
+            <li><strong>Secure Computation</strong> (technical trust), enabling agents to communicate and compute cooperatively across trust boundaries with cryptographic guarantees.</li>
+            <li><strong>Ubiquitous Presence</strong> (co-location across interfaces), allowing agents to maintain shared context and continuity in multi-agent, human-facing environments. This persistent presence, combined with relative addressing, also enables agents to discover one another based on shared interface context.</li>
+            <li><strong>Decentralized Control</strong> (community governance, consent stacks, and public overlays), supporting transparency and alignment across agent–human and agent–agent interactions alike.</li>
+          </ol>
+          
+          <p>
+          To support agent interoperability in a world where humans remain co-present and empowered, interface-level standards must be established alongside data and execution standards. These include civic protocols, interruptibility APIs, and consent layer primitives—making the interface itself a site of interoperability.
+          </p>
+          
+          <blockquote>
+            <p><em>“Interoperability is not only how agents speak to each other—but how humans remain present in the conversation.”</em></p>
+          </blockquote>
+        </section>
+
       </section>
       <section data-dfn-for="Foo">
         <h3>Architectural Considerations</h3>