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PumpSpark AI

Quality assurance on an AI product

Context

PumpSpark AI was being built quickly, and fast-moving AI features are easy to ship broken.

Problem

Defects needed to be found and described clearly enough that they could actually be fixed.

My role

QA / Tester — testing and defect reporting.

Actions

  • Exercised product flows manually
  • Recorded reproduction steps for each issue
  • Reported findings back to the build team

Findings

  • Findings are documented privately; the supporting records are marked Needs evidence until they can be attached here.

Outcome / learning

Issues were surfaced and communicated. Measurable outcomes are deliberately not claimed without evidence.

Evidence

  • PumpSpark AI — QA reportsNeeds evidence

    Defect reports and reproduction notes. To be attached before this claim is marked verified.

Open the evidence layer