Vet
One agent checks every grant against a detailed eligibility framework and outputs a structured Trello card.
001 / SYSTEM DESIGN

A volunteer grants committee went from manual research to pre-vetted, structured leads — then the same system became a repeatable offering for other schools.
01 — THE PROBLEM
Six volunteers were losing hours to manual grant research with no staff budget to spare.
02 — CONSTRAINTS
03 — THE SYSTEM
One agent checks every grant against a detailed eligibility framework and outputs a structured Trello card.
Approved leads move through the pipeline automatically — Apply Now to Drafting in Progress to Review Ready.
A second agent handles drafting, with every human-judgment step staying manual by design.
A Google Sheets database behind a key-authenticated Apps Script endpoint keeps infrastructure at zero, with a written handoff guide for volunteer onboarding.
Once proven for one school, the same architecture became GrantOps — customized per deployment with matched voice and knowledge files.
04 — DECISIONS
The system exists to give volunteers back hours, not hand them a new tool to learn.
Every approval and submission stays manual by design — automation handles the research, not the decision.
The same architecture became a flat-fee offering the moment it proved itself for one school.
05 — RESULT
A six-person volunteer grants committee at a small private K–8 school was losing hours to manual grant research and triage. Busy parents, no dedicated staff, and a process that ate the little time they had.
A two-agent GPT system now handles the work with a clean separation of concerns — one agent vets and routes, one agent drafts — while every approval and submission stays a human decision. The grants committee went from manually researching every opportunity to receiving pre-vetted, structured leads they can act on in thirty minutes or less.
Small schools buy from people they trust, not off a landing page, and generic AI tools don’t know what makes a specific school fundable. Once the system proved itself, it became GrantOps — the same architecture, meaningfully customized for each deployment: knowledge files, voice matching, the angles that make a specific school fundable.