A clearer path from job post to résumé
Career intelligence built for evidence and review
Career Tally is planned as an advanced retrieval-augmented AI product. It will connect a target job to selected career evidence, then support résumé building and improvement with each change open for human review. The API is not connected in this preview; document processing is not available yet.
A reviewable path from job post to decision
Start with source-backed requirements. Keep evidence traceable. Put recommendations in human hands.
1. Capture the role
Bring in a job posting and preserve its original wording and source. The planned intake will separate role requirements from assumptions and let a reviewer correct the extraction.
2. Organize requirements
Group and normalize requirements while retaining the source text, rationale, and uncertainty. Proposed analyses include role title normalization and Role DNA; neither is active in this preview.
3. Review evidence and gaps
The intended workflow compares requirements with approved, cited career evidence. Missing evidence is treated as evidence debt or unresolved context—not automatically as proof that a person lacks a qualification.
4. Decide with a person in the loop
The system is planned to draft explainable options for a human to verify and approve. It will not submit applications or contact employers automatically.
Resume Studio, powered by evidence
Career Tally is designed as an advanced retrieval and language-model system. When its owner-managed API is configured and tested, the public Resume Studio can use it to build and improve résumés against selected job requirements and career evidence. No résumé documents are accepted or processed in this staging preview. PocketPapi member login remains the current sign-in path.