AI output review / QA
Have a human check AI-written content, support replies, claims, citations, or recommendations for risk and accuracy.
Suggested: $29–$99
issue tableevidencesuggested fixesScope a bounded task for a human to review AI output, verify automation runs, clean data, research options, make calls, or qualify leads. Draft first; review before anything is published.
Have a human check AI-written content, support replies, claims, citations, or recommendations for risk and accuracy.
Suggested: $29–$99
issue tableevidencesuggested fixesAsk a reviewer to spot-check AI-agent or automation runs and flag pass/fail, anomalies, and recurring failure modes.
Suggested: $49–$199
run checklistanomaly reportClean, dedupe, enrich, or verify a small spreadsheet or record sample with judgment calls clearly flagged.
Suggested: $49–$199
change logambiguous rowsRequest a sourced shortlist, tradeoff analysis, and recommendation against your decision criteria.
Suggested: $39–$149
sourcesrationaleAsk a human to confirm availability, pricing, contact details, local facts, or short call outcomes.
Suggested: $15–$79
call loguncertainty flaggedHave a person review a lead list against clear criteria and return qualified/maybe/not-qualified with source notes.
Suggested: $0.30–$1/lead or fixed batch
scored listsource notesURLs, files, public sources, screenshots, AI outputs, logs, or exact prompts to review. Do not share passwords or production credentials.
Issue table, spreadsheet, screenshots, call log, source list, corrected text, or summary memo.
Checkable statements that define done: number of items reviewed, proof required, deadline, and what is out of scope.