The agency made multiple manual daily checks of job-listing boards, hand-crafted an application for each listing, and missed opportunities outside business hours, capping growth.
PressW built an intelligent bot that scans listings against detailed criteria (budget, duration, tech stack), generates personalized applications with GPT-4, and monitors continuously 24/7 with automated filtering.
The build combined Playwright web automation, GPT-4 natural-language generation, and integration with Bubble's job board, tuned iteratively over roughly eight weeks from concept to production (about a month to a working proof of concept).
Fast-growing agencies and services firms that monitor high-volume job or opportunity boards and want tailored, always-on application workflows.

The agency replaced manual board-checking and hand-written applications with a bot that scans listings against its own criteria for budget, duration and tech stack, then generates a personalized application for each qualifying listing. It runs continuously rather than only during business hours, which cut application time by more than 80%.
GPT-4 generates the personalized application text, Playwright handles the web automation against Bubble's job board, and criteria-based filtering decides which listings are worth applying to.
Application time fell by more than 80% and client interview opportunities rose 65%. The bot reached full production in about eight weeks, with a working proof of concept inside the first month.
About eight weeks from concept to production, with a working proof of concept in roughly the first month. The build was tuned iteratively over that period.
Fast-growing agencies and services firms that monitor high-volume job or opportunity boards and want tailored, always-on application workflows.