Gavel & Gown: LLM Judge

Your agent's output "looks good." Can you prove it? 🔨 That's the gap this session closes. Installment 3 of the series is a laptop-open build for anyone shipping agent output they can't actually verify. Here's the problem: "looks good" is a vibe, not a QA process. So bad answers slip through, good ones get thrown out, and nobody can say why. The fix isn't a better prompt. It's a judge. So we build one. An unbiased LLM-as-Judge that turns "seems fine" into a measurable keep-or-revert verdict. (Your Judge will be judged by Judy the Judge. Kidding. Mostly.) You'll walk out knowing how to build: A deterministic process so the same input always gets the same ruling Evals that score outputs against a rubric instead of a gut feeling (Jev?) Loops that feed the verdict back in so the system sharpens itself This is the QA layer that separates agents you can trust from agents you just hope about. Bring your laptop. Leave with a judge. Best for: Founders, engineers, AI operators, and anyone building agents that need to be right, not just plausible. 📍 Antler VC — 800 Brazos St #340, Austin, TX 🖥️ Austin in-person energy + recordings (free for members) 🎟️ Approval required — request your spot early Request to Join 👇 Sponsored by: Linear Linear is the product development system for teams and AI agents, combining issue tracking, project planning, roadmaps, customer feedback, and agent-driven workflows in a single tool. https://linear.app/