Prompting, context, and data — the studio has the skills now. This pack turns them outward: reading a real RFP, researching the organization behind it, and sketching a real system for the exact civic problem that started it all.
00
Kai finds a live Fairview RFP that's unmistakably the exact problem she couldn't build back at the very first Founders Table. Nate and Kai meet the RFP: a real problem a real city is asking someone to solve.
01
An agent isn't a one-shot answer machine. Nate and Kai learn what makes a system agentic: planning, tool use, and taking real steps toward a goal, for something with real stakes for the first time.
02
Kai is fluent in bureaucratic language and finally gets to translate for Nate, the way he once translated code for her. Together with an agent they pull out what actually matters: requirements, constraints, stakes.
03
Before you build for someone, you find out who they actually are. Nate and Kai use AI to research the organization behind the ask.
04
Research becomes architecture. Nate and Kai sketch a real system in response to a real civic problem, diagram and all — the studio's first real build.
05
Agentic-AI vocabulary and the RFP research checklist Nate and Kai use every time a new one drops — right before their first real system for a real organization.