GTM AI Builder
I started by running these workflows. Now I build the software behind them, from proposal drafting and sales knowledge tools to event coordination, with approved sources, clear ownership, and human review built in.
I built a proposal workflow that analyzes RFP packages, drafts answers from approved sources, and coordinates expert and legal review. Estimated hands-on preparation fell from 35–40 hours to 5–10 hours per proposal.
Sales outcomes the workflow supported, across both the plugin and the deployed app. Hours per RFP are my own estimate, not an audited time study.
A shared knowledge assistant that helps sales teams answer prospect questions, inspect supporting sources, and identify what still needs confirmation.
40 users · 210+ questions answered in its first month
Illustrative sales conversation. A sales representative asks: does the platform support single sign-on? The assistant answers: yes, single sign-on is available through SAML 2.0, citing source one, the Security and Access record, which the library marks as a verified source. The exchange is a fictional example, not a description of a real product.
An event operations plugin that turns scattered updates into prioritized tasks, deadline alerts, and follow-ups—with a recorded reason behind each priority.
Used across 5 live events and research into 200+ prospective events
Sample workflow. Someone reports: the Summit Expo hotel is booked. The plugin matches those words to one open task on that event, Book hotel rooms (room block). The person's own update is the confirmation the workflow needs, so no separate approval is required, and the task moves from Not started to Done. The next task still open on that event, Register booth staff on the portal, comes to the top. The events are invented sample records.
An audio analysis prototype that connects mix feedback to specific passages and supporting measurements, so producers can inspect the evidence and listen for themselves.