Doubling Client Capacity for Resume Consultant

This case study shows the client problem, what we built, and the result. It explains how we turned expert knowledge into a working AI product.

AI agents that increase output while preserving writing quality and style.

Max Berry - TracyChat — Oct 2025

Emily Pearlman's resume writing business was bottlenecked by manual extraction and structuring work. She had already tried AI tools, but they slowed her down and produced generic drafts that required heavy rework.

We built a two-stage agent system. The extraction agent parses intake forms, LinkedIn exports, and rough notes to identify relevant experience, skills, and achievements. The writing agent transforms normalized data into publication-ready resume content that matches Emily's style and role-specific goals.

Emily needed more than automation. She needed a partner who could extract how she evaluates candidate information and makes writing decisions, then codify that tacit process into systems that actually replicate her work.

200% increase in monthly client capacity, doubled earnings, and first drafts delivered in hours instead of days.

The full system was built in 10 hours of collaborative work, turning her freelance process into a scalable business.

Next: James Rores