An Agent That Applies for Government Funding
Problem
Government startup-support programs are announced continuously across portals, each with different eligibility rules, required forms, and deadlines, and missing a good match by a few days means missing it entirely. Manually monitoring announcements, checking eligibility, and preparing application documents was consuming hours that a small team does not have.
Trial
I built a launcher-triggered routine that pulls the day's startup-support programs via API and spawns a dedicated sub-agent for each newly found program. Each agent analyzes eligibility against our company profile — for example, flagging a residency requirement mismatch before any drafting effort is spent — then drafts a tailored business plan up to submission-ready state, auto-downloading and filling the required forms. A main agent maintains a merged registry of common documents shared across applications, and the results render as a deadline-sorted timeline in the browser.
Result
Program discovery and first-draft preparation now happen the same day a program is announced, with clearly ineligible programs filtered out before they cost any writing time. The common-document registry eliminated the repeated hunting for the same business registration and financial files across applications. The deadline-sorted timeline turned a scattered monitoring chore into a single view where the only remaining human work is final review and submission.
Lessons
Eligibility analysis before drafting is where the real savings live, since a polished plan for a program you cannot legally apply to is worth nothing. The per-program sub-agent pattern kept each analysis isolated and clean, while centralizing shared state in one registry-owning main agent avoided every sub-agent re-answering the same company-profile questions.
Next Action
I want to add outcome tracking — which drafted applications were submitted and which won funding — so the drafting agents can learn from accepted plans.