tempo-jev-demo

Name: tempo-jev-demo
Availability: InStock
Author: mychaelangelo

Jev-powered: I created Tempo with OpenAI's Codex, using Astra and GPT-5.6 Sol, with my direction and guidance. Codex also came up with the name Tempo. I haven't personally reviewed all of the code. Th

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Last updated: September 23, 2026

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git clone https://github.com/mychaelangelo/tempo-jev-demo.git

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tempo-jev-demo

I created Tempo with OpenAI's Codex, using Astra and GPT-5.6 Sol, with my direction and guidance. Codex also came up with the name Tempo. I haven't personally reviewed all of the code. This is an experimental demo so don't use it for anything serious. It may contain bugs, unexpected behaviour, and issues I'm not aware of. More details on how to get started below. Have fun!

Where Jev makes the decision

Jev returns a structured decision for the local program; consult the source for the exact decision policy.

Why it matters

Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.

Claims & evidence

Based on repository metadata and README with rule-based classification; pending human review, with no independent runtime or performance verification.

About Jev

Jev is TypeSafe AI's System One decision model: it returns typed scores and choices (not free text), so agents can route, filter and gate at low latency and cost.

Source: mychaelangelo/tempo-jev-demo — 2 stars, MIT. Listed by Awesome Jev.

tempo-jev-demo

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tempo-jev-demo

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