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| <meta name="description" content="Explore the layers that connect AI data, models, agents, tools, orchestration and trust systems."><style> |
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| </style></head><body><main class="shell"><section class="hero"><div class="eyebrow">System architecture</div><h1>Interoperability Map</h1><p class="sub">Interoperability is connective tissue. Explore the layers where data, models, agents, tools and enterprise controls need explicit contracts.</p></section> |
| <section id="map" class="map"></section><section id="detail" class="detail"><b>Select a layer</b><p class="meta">Click any layer to see why its boundaries matter.</p></section> |
| <section class="section"><div class="note"><b>Design principle:</b> standardize boundaries, not creativity. Interoperability should allow components to differ internally while remaining predictable at their interfaces.</div></section> |
| <footer class="footer">Open reference map for AI interoperability · Research & industry collaborations: <a href="mailto:agenten@magenta.de">agenten@magenta.de</a></footer></main> |
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| "Raw observations become useful across systems only when schemas, identifiers, metadata, units, permissions and provenance survive the handoff.", |
| "Model portability needs common enough interfaces for messages, streaming, tools and modalities while preserving real capability differences.", |
| "Independent agents need discovery, task semantics, identity and reliable handoffs. Agent interoperability is broader than function calling.", |
| "Tools should expose stable, machine-readable capabilities. Existing APIs remain important; AI-native tool protocols can add discovery and standardized invocation.", |
| "Orchestration decides what acts when. It becomes dramatically easier when underlying components are interoperable rather than hard-wired.", |
| "Enterprise interoperability is incomplete without identity, authorization, tracing, policy, validation and version-aware failure handling." |
| ]; |
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