If you don't define the role properly, your AI sourcing tools will fail. You need a calibration layer.
The Old Way: The Rush
Recruiters are trained to race. They get a job on the phone, scribble three bullet points, and immediately start searching LinkedIn for 'Java Developers'.
They miss the nuance. They don't ask about the specific cloud environment or the leadership requirements. Because they skip the 'Calibration' phase, they send 10 CVs that are 'technically' right but 'culturally' wrong, wasting the client's time and damaging the relationship.
The New Way: The Calibration
The Spec Builder forces a moment of clarity without slowing you down. By instantly generating a 'Role Definition Cheat Sheet', it highlights the gaps in your knowledge.
It prompts you: 'You didn't specify the cloud platform—should I assume AWS?' It forces the consultant to think like a Headhunter, not a CV sender. The resulting 'Assessment Questions' ensure that when they *do* get a candidate on the phone, they sound like a peer, not a novice.
Built on Data Integrity
Our founding team knows that in software, data structure is everything. A Bullhorn record with an empty 'Files' tab is a black hole.
That's why The Spec Builder is designed to be rigorous. It physically generates the documentation—the Word Doc, the Bullhorn Comments, the File Attachment. It ensures that if another consultant picks up this role next week, the entire strategy is documented, searchable, and ready to use.
Ensure every consultant in your business assesses candidates using the same yardstick. The Spec Builder enforces quality control across the agency.
Because the 'Cheat Sheet' provides the exact Boolean strings and keywords, your actual sourcing time is cut by 50%.
It uses the Bullhorn Files API to upload documents and the Notes API to log the screening questions. It feels like a native feature.