Releases·Tool Release
Dev releases nxk, an open-source skill letting coding agents poll 100 simulated personas before guessing user intent
A developer released nxk, a free open-source skill for coding agents that replaces guesswork about user preferences with polls of simulated people generated by PersonaGen, the author's free persona tool. A model answers as each persona with option probabilities; 100 respondents cost about $0.01 using the Jev model, making multi-round follow-up questioning practical. Against 26 published UK/US survey questions, the crowd's top answer matched or came close on 22.
3 engagement1 sourceMon, Sep 28, 2026, 12:55 PM
AI Overview
- nxk, a free open-source skill, lets coding agents show designs like a signup page to a simulated crowd instead of guessing between options
- Simulated people come from PersonaGen, whose personas model age, job, income and household to match UK or US population distributions; it is free with 100k personas a month via API key
- A model answers as each persona with option probabilities; the developer uses Jev, making 100 responses cost about $0.01 in seconds
- Tested against 26 questions from published UK and US surveys, the crowd's top answer matched or came next to the survey's on 22
- Developer says results suit direction-finding over exact numbers; methodology and caveats are in the nxk GitHub repo
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6 engagement1 sourceredditTue, Sep 1, 2026, 08:37 AM
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13 engagement2 sourcesredditWed, Sep 2, 2026, 02:35 PM
Products·launched
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1 engagement1 sourcehackernewsMon, Jul 13, 2026, 02:03 PM
Releases·Tool Release
Jive: open-source terminal coding agent replaces tool calls with DAGs of tool and System One model calls
A developer released Jive, an open-source terminal coding agent that replaces the standard LLM-call-to-tool-call agentic loop with 'graph calls' — each graph is a DAG combining tool calls and 'System One' model (Jev) calls for fast, intuitive decisions. The author benchmarks Jive against Codex and Claude Code on six tasks, reporting large time and token reductions. The post frames the design as letting an agent natively 'think fast and slow' instead of mimicking it with workflows or multi-agent architectures.
A developer released Jive, an open-source terminal coding agent that replaces the standard LLM-call-to-tool-call agentic loop with 'graph calls' — each graph is a DAG combining tool calls and 'System One' model (Jev) calls for fast, intuitive decisions. The author benchmarks Jive against Codex and Claude Code on six tasks, reporting large time and token reductions. The post frames the design as letting an agent natively 'think fast and slow' instead of mimicking it with workflows or multi-agent architectures.
18 engagement1 sourceredditMon, Sep 21, 2026, 08:53 PM
Releases·Tool Release
Simon Willison releases llm-typesafe 0.1a0 plugin bringing TypeSafe AI's Jev model to the LLM CLI
Simon Willison released llm-typesafe 0.1a0, a plugin for his LLM CLI tool that adds support for TypeSafe AI's new Jev model. The plugin supports three answer types — yes/no 'noul' questions, choice questions, and scoring questions — returning structured JSON output. It gives LLM users CLI access to Jev for classification-style tasks.
Simon Willison released llm-typesafe 0.1a0, a plugin for his LLM CLI tool that adds support for TypeSafe AI's new Jev model. The plugin supports three answer types — yes/no 'noul' questions, choice questions, and scoring questions — returning structured JSON output. It gives LLM users CLI access to Jev for classification-style tasks.
0 engagement1 sourcerssTue, Sep 22, 2026, 03:54 PM