jev-experiments
22 latency-focused Jev applications built by Devin, each with its own README and testing notes, spanning shell guards, log sentinels, instant search, reranking, and voice turn-taking.
OWNER
dabit3
INDUSTRY
Demo collection
CATEGORY
Infra / SDKs / Integrations
KIND
REPO
HOST
github.com
WHAT IT DECIDES
CHOICE
Picks one option from a fixed set
SCORE
Rates against ordered levels
NOUL
Answers a yes / no question
Inferred from this project's own one-line summary in the community list — it reads as a NOUL decision. Read the source to confirm.
THE SHAPE OF A NOUL CALL
A generic skeleton for this question type, not this project's actual code.
from typesafe import TypeSafe
ts = TypeSafe()
result = ts.evaluate(
state=tool_call,
questions={
"is_risky": {
"type": "noul",
"instructions": "Could this call delete or overwrite user data?",
}
},
)
if result["is_risky"] and result["is_risky_confidence"] > 0.6:
escalate_to_human(tool_call)MORE IN Infra / SDKs / Integrations
jev-mcp (jkudish)proof-of-concept MCP server that puts Jev claim verification, content screening, and candidate ranking behind standard MCP tools.eveVercel's eve engine ships Jev as the default evaluation model (`typesafe-ai/jev`) in its experimental evaluate path.AI CLIVercel Labs CLI that can run Jev as the evaluation model for its `evaluate` command.jev-mcp (blakestone-x)MCP server exposing Jev classify, score, check, match, and screen as tools for any agent, with confidence on every answer.