Overview
career-ops presents job search as a candidate-controlled evidence pipeline rather than a volume-based application bot. It moves from owned, readable records and cheap discovery through deduplication, liveness, warnings, structured evaluation, truthful CV tailoring, and form preflight to a human-confirmed submission. The series keeps fit, legitimacy, compensation, uncertainty, provenance, and consent distinct, while using deterministic checks for repeatable work and AI for interpretation. It also examines scaling, updates, plugins, and provider boundaries. The design can make attention and preparation more deliberate, but it does not establish that its scores or tailored documents improve hiring outcomes.
Learning outcomes
- career-ops shifts job-search progress from application volume toward deliberate allocation of candidate attention.
- Cheap discovery, deduplication, liveness checks, and warnings reserve deeper reasoning for roles with inspectable evidence.
- Two-pass evaluation preserves the job's priorities while keeping fit, legitimacy, compensation, and uncertainty separate.
- Truthful tailoring can clarify verified experience, but it cannot turn missing evidence into a credential.
- The workflow prepares applications but leaves sensitive choices and final submission to the candidate; improved hiring outcomes remain unproven.
Keywords
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PlansFAQ
What is career-ops?
career-ops is an open-source, candidate-controlled job-search system that uses automation to filter opportunities, organize evidence, and prepare applications without submitting them.
How does career-ops decide which jobs deserve attention?
It uses inexpensive public-source scans, configured filters, deduplication, liveness checks, and warnings before full evaluation; the shortlist is not a recommendation.
Can career-ops tailor a CV without inventing experience?
Yes. It can translate role vocabulary and reorder verified achievements, but primary candidate records must support claims about metrics, tools, scope, and authorship.
Does career-ops submit job applications automatically?
No. It can preflight a live form, flag sensitive or knockout questions, and prepare ordinary answers, but the candidate reviews the form and confirms any submission.
Does career-ops prove that AI improves hiring outcomes?
No. The material supports design and implementation claims, not a causal benchmark showing that its scores or tailored CVs improve hiring outcomes.