Have your agent consult other models
Cross-model validation catches agent blind spots self-review misses.

AI lobbyist auto-submits policy responses, but lacks proof of impact or traction.
Policy advocates, builders interested in AI-government interaction, European startup founders, civic tech enthusiasts.
The positions are grounded in frameworks like the Draghi Report, the Wennink Report, and the Dutch National AI Deltaplan.
The pipeline consists of 4 steps:
Discover: Crawling government portals for open consultations. Draft: A 3-pass LLM pipeline (draft, critique, rewrite). Submit: Automated browser submission to the portal. Publish: A public dashboard for full transparency on what the agent submits.
I see this project as an exploration of how AI agents can interact with government policy and "democratise" lobbying.
Cross-model validation catches agent blind spots self-review misses.
E2B sandbox isolation prevents agent chaos while streaming realtime previews before PR creation.
Assumes you have idle autonomous agents, which most don't.
OAuth moment for agents—IETF draft submitted, standardizing what's currently API-key chaos.
Curated lecture directory, but YouTube and university sites already host these.
6-stage job application pipeline with browser automation—solves real friction, but legally sketchy.