The Agentic Workflows I've built.

Built for Synapse to process commercial leases across the Mexican market. The demo below runs on public EDGAR filings, since real client documents aren't demo-safe, but the pipeline is the same one doing the work: rent, term, escalations, renewal options, and key clauses all come out structured, and every field carries the exact quote it was pulled from. Next up: confidence scoring, a human review queue, and every version graded against a verified eval set.

Real estate development moves slowly, and bringing a new customer into the development phase used to mean two to three weeks of back-and-forth before any of their data was flowing. The agent runs that conversation instead. It asks which ERP they are on, checks whether we already integrate with it, hands over the exact commands to run, validates what comes back, and drafts an ETL-equivalent schema mapping into our system. It also writes the messages they need to send and tells them who to send them to. Two of the steps need no model at all, just a registry lookup and vetted command templates. Of the rest, most can run on a laptop through Ollama, with hosted models pulled in only where a mistake is expensive to fix.

Subscribing to twelve AI newsletters means reading none of them. This agent reads all of them, clusters what is actually the same story told four times, and sends you the three things worth your attention. You set the topics once.