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- Mustafa Eyceoz (Red Hat) — Mustafa.Eyceoz@partner.ibm.com
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## 🧠 Conceptual Overview
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Most “agent frameworks” let untyped text flow through a pipeline. Agentics flips that: **types are the interface**.
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Most “agent frameworks” let untyped text flow through a pipeline. Agentics flips that: **types are the interface**.
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Workflows are expressed as transformations between structured states, with predictable schemas and composable operators.
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Because every step is a typed transformation, you can **compose** workflows safely (merge and compose types/instances, chain transductions, and reuse `@transducible` functions) without losing semantic structure.
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Because every step is a typed transformation, you can **compose** workflows safely (merge and compose types/instances, chain transductions, and reuse `@transducible` functions) without losing semantic structure.
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Agentics makes it natural to **scale out**: apply transformations over collections with async `amap`, and aggregate results with `areduce`.
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@@ -158,8 +158,8 @@ Core operations:
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Agentics implements **Logical Transduction Algebra**, described in:
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