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Jev glossary

Core ConceptsM2MAI-to-AI

Machine-to-machine automation

Automation where software calls AI directly, expected to be roughly 99% of large-scale AI interactions versus 1% human-facing.
Category
Core Concepts
Also known as
M2M, AI-to-AI
Reading time
1 min
Related terms
4
Directory entries
2
Docs
docs.typesafe.ai
Added
2026-09-24

Definition

TypeSafe's primer states the expectation plainly: future AI automation will be closer to 99% machine-to-machine and 1% human interaction. That reframes the model contract around predictable outputs rather than pleasant conversation.

It is also why the docs push decomposition and confidence gates: an unattended pipeline cannot read a paragraph and decide what it meant, but it can branch on a typed answer and a calibrated probability.

Tagsarchitectureautomation

From the Jev directory

Directory entries that go deeper on this term.

Why TypeSafe trains decision models with RLCD instead of RLHF: calibrated probabilities where 0.2 outcomes happen about 20% of the time, and the case for machine-to-machine automation.
Jev Guides & ArticlesDocs#official#docs#evaluation
Official
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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