primerkit is a workspace where your AI agent does real work with market data.
Ask an AI about markets and you often get a confident paragraph. It is hard to see which numbers it used, hard to test, and nothing happens next. primerkit is built to close that gap, from idea to action.
What your agent can do in it:
- brief you on what moved in rates and markets today;
- answer from current market data and show you the lines each answer used;
- compare its answer with what the web says;
- test a rule you wrote against past data;
- run that rule each morning on your computer’s schedule;
- place a paper order when you say yes.
You ask in plain words, inside the AI app you already use (Claude Code, Codex, Gemini CLI) or in its own terminal. Every run is kept in a journal on your computer.
CONNECTIONS
- ●modelan AI app you already use, a hosted model on your own key, or one on your machine (Ollama or LM Studio)
- ●PreReasondefault data source
- ○brokersoff until you turn one on: /connect
FUNCTIONSa code and Enter runs it
- DG/digestwhat changed
- CP/comparebriefings and web search
- BR/briefa briefing as a board
- JR/journalevery run, kept on your machine
- CH/charta chart
- MD/modelswitch the model
- CT/catalogevery briefing, metric
- CN/connectdata and brokers
Open source. Nothing here is investment advice: the model never proposes a strategy, and works from the data or from rules you write.