SYSTEM ONE MODEL INTELLIGENCE DIRECTORY|Community workflows and reports
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Jev + Grok Bot: ranking X posts and routing agent actions

A 1,000-post selection workflow and a separate action-router setup, with source links and no inferred speed or cost claims.

We checked the cited posts and documentation. Measurements are attributed to their authors and have not been independently rerun by this site.

From 1,000 X posts to a short list of tips

Dan McAteer describes using the X API to retrieve 1,000 posts about agents, Jev to select useful material through pairwise comparisons, and Grok Bot to surface five tips. The steps distinguish retrieval, selection and presentation.

The post supplies a concrete use case for Jev with Grok Bot, but no comparison count or tournament design. Pairwise selection across a collection does not establish that every possible pair was evaluated. The author also gives no elapsed time or cost breakdown.

Sources:[17] Dan McAteer

Consulting Jev before GrokBot takes another action

In a separate setup report, codila describes a Jev router consulted before browser work, research, retries or another bot. The proposed rollout starts in shadow mode: record the router’s choices and inspect logs before enabling its decisions.

The same post keeps a bypass switch and human control over irreversible actions. Those operational details are more specific than its broad praise of the system. We do not convert the author’s enthusiasm into a measured speedup or a saving against other agent setups.

Sources:[18] codila

What these Grok reports establish

Both authors put Jev around a Grok Bot workflow, but their tasks differ. McAteer selects from retrieved posts; codila routes actions before execution. Neither cited post identifies a numbered Grok model version.

TypeSafe’s documentation supports using typed answers and confidence to branch in code. It leaves threshold choice to the application and its risks. That supports an implementation approach; it does not validate the quality of either user’s routing policy.

Sources:[17] Dan McAteer[18] codila[1] TypeSafe AI[2] TypeSafe AI

Questions about Jev + Grok

Which Grok version was used with Jev?

The cited authors name Grok Bot or GrokBot without a numbered underlying model version. These reports should not be relabeled as Grok 2, Grok 3 or another specific release.

Sources:[17] Dan McAteer[18] codila

Is there a measured Jev + Grok speedup in these sources?

The cited posts do not provide a controlled timing or cost comparison. They document workflows and personal assessments.

Sources:[17] Dan McAteer[18] codila

Sources and reading notes

The summaries below are paraphrases. Each link opens the original source, including its surrounding context.

Dan McAteer (@daniel_mac8)

Published:

Source checked:

X.com

[17] Ranking X posts with Jev and Grok Bot

McAteer describes retrieving 1,000 agent-related posts with the X API, using Jev for pairwise selection, and having Grok Bot surface five tips.

A first-hand workflow description. No model version, comparison count, latency or cost breakdown is supplied.

Jev / GrokRead original

codila (@0xCodila)

Published:

Source checked:

X.com

[18] A Jev router in front of GrokBot actions

The author describes consulting Jev before browser, research and retry actions, starting in shadow mode, inspecting logs, and retaining a bypass and human control over irreversible actions.

A personal setup report with promotional language. Its broad performance claims and seven-minute setup claim are not treated as measurements.

Jev / GrokRead original

TypeSafe AI

Source checked:

Official

[1] Jev and the Choice, Score and Noul primitives

The documentation describes Jev as a System One model that evaluates state and typed questions. Choice selects an option, Score evaluates a rubric, and Noul returns a probability for a statement.

API behavior documented by the provider. This page does not establish a universal latency, accuracy or cost advantage.

TypeSafe AI

Source checked:

Official

[2] Confidence, probabilities and fallback decisions

Choice and Score include confidence derived from their probability distributions. Noul does not have a separate confidence field. TypeSafe recommends choosing thresholds for the domain and consequences of an action.

Implementation reference. A confidence value is not a guarantee that an individual decision is correct.