Review candidate evidence faster. Keep the hiring decision human.
A candidate-review workflow that applies approved screening criteria, groups evidence by relevant technical experience, and flags suspicious instructions embedded in submitted resume material for human review.
Approved candidate data→Criteria screen→Evidence extraction→Risk flags→Recruiter decision
Make the review trail clear enough to challenge.
The supplied candidate-review demo organizes 128 resumes by a defined evidence threshold, captures links to supporting material, separates strong matches from candidates who need verification, and records a prompt-injection risk flag.
Automation can help collect and structure candidate-provided or lawfully sourced material, then surface location, role, and technical evidence against the job criteria. It should not make hiring decisions, infer sensitive traits, or bypass platform rules.
Apply stated criteriaPrioritise only the qualifications and location constraints approved for the role.
Show the evidenceGroup candidates by the concrete projects, deployments, and technical stack described in their materials.
Flag manipulation attemptsEscalate prompt injections or instruction overrides hidden in resume content for human assessment.
Role brief, approved criteria, and candidate material
Candidate Review Agent
sorts · explains · flags
sorts · explains · flags
01Criteria screen
02Stack evidence
03Prompt-injection check
04Human decision