← case studies

AI Job-Application Bot for Agency Lead Flow

Martech Studios automated its job-board applications with a GPT-4-powered bot that monitors listings 24/7 and writes tailored applications, cutting application time 80%+ and lifting interviews 65%.

~75%

Cut from expert lookup time

2–4 months

Implementation Time

Not disclosed

Project Cost
the challenge

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.

what they built

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).

best fit for

Fast-growing agencies and services firms that monitor high-volume job or opportunity boards and want tailored, always-on application workflows.

Ai ROLE
infrastructure
  • Bubble job board (listing source)
  • Agency criteria set: budget, project duration and tech stack (filtering rules)
  • Continuous 24/7 monitoring schedule
  • Existing agency application and outreach workflow
integration points
  • Playwright browser automation driving Bubble's job board
  • Listing scrape to criteria filter to GPT-4 application generation
  • Generated application to automated submission to the listing
  • Continuous 24/7 monitoring loop with automated filtering
impact

80%+ Time Reduction

Applying to job listings took 80%+ less time once the bot was live.

65% More Interviews

Client interview opportunities rose 65%.

~8 Weeks to Production

The bot went from concept to fully operational in about eight weeks.

Bryson Greenwood

Founder & Head of AI
Martech Studios
Founder and Head of AI at PressW, an AI consultancy in Austin. Ten-plus years building production AI, from custom NLP and computer vision to LLM retrieval pipelines.
GEt an intro
industry
Technology & Software
business organization
Sales & Revenue
Operations
AI TYpe
Process Automation (RPA + AI)
Generative Design & Content
value type
Time Savings
Revenue Growth
frequently asked questions
How did Martech Studios cut job application time by more than 80%?

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%.

What AI tools were used to build the job application bot?

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.

What results did Martech Studios achieve?

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.

How long did the job application bot take to build?

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.

Who is this application automation approach best for?

Fast-growing agencies and services firms that monitor high-volume job or opportunity boards and want tailored, always-on application workflows.

Have a similar challenge?

Tell us what you're working on and we'll match you with the right expert.
submit an ai need (free)