Jev glossary
Core ConceptsNeuro-symbolic
Neuro-symbolic AI
The manifesto's framing of TypeSafe's aim: neural networks for perception paired with symbolic logic, or smart if-statements.
- Category
- Core Concepts
- Also known as
- Neuro-symbolic
- Reading time
- 1 min
- Related terms
- 3
- Directory entries
- 1
- Docs
- typesafe.ai
- Added
- 2026-09-24
Definition
In the TypeSafe manifesto, neuro-symbolic means letting neural models handle the messy perception side (reading a ticket, a resume, a passage) while symbolic logic in code owns the decisions that must be auditable and repeatable.
Jev fits the neural half as a narrow judgment engine; your workflow, weights, and thresholds are the symbolic half. The split keeps control flow deterministic even when the input is unstructured.
Tagsarchitecturemanifesto
Related terms
Definitions that connect to this one.
Composable AITypeSafe's manifesto position: intelligence as a dependable primitive that software branches on, rather than an assistant that keeps humans in the loop.Core ConceptsSmart if statementTypeSafe's shorthand for what a System One decision is: a condition your code can branch on directly, backed by a model judgment.Core ConceptsAI-powered softwareThe architecture TypeSafe recommends: code owns the workflow and the model appears only where programmable common sense is needed.Core Concepts
From the Jev directory
Directory entries that go deeper on this term.
TypeSafe's case for machine-native composable AI: intelligence as a dependable primitive that software branches on, rather than an assistant that keeps humans in the loop.
Jev Guides & ArticlesArticle#official#article#architecture
Official
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