Jack_and_Jill_AI_Guides
Skills and guides to build autonomous AI agents across internal company functions
A public collection of internal AI agent design frameworks from a recruiting startup with 200k users, sharing practical guides for defining agent identity, memory structure, and workflow file layout based on real production experience.
Jack and Jill AI Guides is a public collection of internal frameworks and documents from Jack and Jill, a company building an AI-powered recruiting marketplace. They run a fleet of AI agents internally to power both their product and their operations, and this repository is where they publish what they learn from that work, open sourced for anyone else building with AI agents.
The first guide in the repository is a framework for designing and building persistent AI agent personas from scratch. It covers defining an agent's identity, structuring its memory, setting up its workflows, and the file layout the company uses across their own agent fleet. The document is positioned as the kind of internal reference that took real trial and error to develop, shared so others do not have to repeat the same process.
The company itself runs two public-facing agents: Jack is a free career agent that helps job seekers, and Jill is a recruiter-facing agent for employers. Behind those two, the team also runs additional internal agents named Juno, Joe, James, Jules, Jessica, and Janice, among others. These internal agents handle product and operational tasks that are not directly user-facing.
The README notes the company has more than 200,000 users and ships over 60 pull requests per week. The repository is sparse at the moment, with one guide published so far and more planned as the team continues building. It functions as a public log of practical lessons from a team building AI-native software at a fairly high pace.
If you are trying to understand how to structure an AI agent system for a company's internal functions, this repository offers one team's concrete approach. The guides are written in plain text and do not require any specific programming language or framework to read and apply.
Where it fits
- Design a persistent AI agent persona with a defined identity, structured memory, and workflow using the published framework as a template.
- Adapt the agent file layout the company uses across their production fleet to organize your own team's AI agents consistently.