What it does: Actintro already ranks everyone at your Luma event against your goal. This agent picks up the top leads you never got to talk to, searches the web for each company's careers pages and open roles, and writes one follow-up per person. You swipe: Keep sends it to your drafts, Fix sends it back. One tap ("Shorter", "Warmer") or a typed note turns your fix into a rule on a small style card, and the rejected drafts are rewritten with it at the same time.
The long-horizon part: the agent never reads its own history. Each draft reads only three small cards (event, lead, style), so what it reads per draft stays flat while the log grows. The page charts both lines live. Code checks only exact things (no em dash, no link, your exact closing line, the word limit); anything that needs judgement is a model call.
Tools: Tinybird (Rawtree) stores the append-only log of every search, draft, swipe and rule, and feeds the live feed and chart; no model reads it back. Nimble does the live web search behind each card's sourced facts. Black Forest Labs FLUX generates the faces of the made-up people in the public sample room (real companies, invented names). We also measured Liquid AI's LFM2.5-1.2B locally as a filter; it was fast but not accurate enough (47/100), so it is out. AWS Bedrock writes the drafts.
Repo: github.com/vidiyala99/actintro-followups
