AJackTi

jev: calibrated decisions for agents

What this is: a single-file CLI and a matching agent skill that give any coding agent (Claude Code, Codex, OpenCode) a fast, cheap, calibrated second opinion. The agent stays the reasoning model; jev answers the narrow, repeated judgments (is this relevant? which bucket? how severe? does the source support this claim?) so the agent never has to read a thousand items into its context window or trust its own uncalibrated confidence.

Why it exists: LLM agents are expensive and inconsistent at high-volume judgment calls, and they cannot tell you how sure they are. A decision model that returns a real

AJackTi

Setup HashiCorp Vault on docker

Vault secures, stores, and tightly controls access to tokens, passwords, certificates, API keys, and other secrets in modern computing. Vault is primarily used in production environments to manage secrets. Vault is a complex system that has many different pieces. There is a clear separation of components that are inside or outside of the security barrier. Only the storage backend and the HTTP API are outside, all other components are inside the barrier.

Figure 1: Architecture of Vault and Spring App (Click to enlarge)

The storage backend is untrusted and is used to durably store encrypted data. When the Vault server is started, it must be provided with a storage backend so that data is available across restarts. The HTTP API similarly must be started by the Vault server on start so that clients can interact with it.