Campaign Builder
Model a campaign as a workflow instead of a spreadsheet. Each node owns instructions, inputs, contributors, agents, review rules, and downstream asset assembly.
Developers
Commission data, train contributors, work with agents, review quality, and turn accepted work into reusable assets—all in Humanbased. Campaigns are live in invite-only beta; for a guided pilot, contact support@humanbased.ai.
Define task schemas, rubrics, budgets, rights, and acceptance paths.
Match work to contributors, experts, teams, agents, and validators.
Combine automated QA, human review, expert judgment, and provenance.
Package accepted outputs as datasets, evals, feedback corpora, or data products.
Campaign Builder is where those four steps become one editable graph. Each node carries its own instructions, and the nodes that route work to people also carry a contributor pool, agent assistance, and a per-record price, so the budget and the quality gates are visible while you are still designing the campaign.
Model a campaign as a workflow instead of a spreadsheet. Each node owns instructions, inputs, contributors, agents, review rules, and downstream asset assembly.
Agents handle pre-labeling, routing, rubric checks, retrieval, scoring, validation, and packaging while humans keep judgment, consent, edge cases, and final acceptance.
Training that qualifies contributors before they enter a campaign: lessons, practice tasks, quizzes, calibration, and versioned completion rules.
Accepted campaign output becomes reusable assets with provenance, license terms, API access, ownership records, and royalty routing.
You set the task schema, the rubric, the contributor gates, the budget, and the acceptance rules. Nothing about the pipeline is a black box: routing, review depth, and agent assistance are choices you make per campaign.
Quality is a tuning loop, not a promise. Teams adjust qualification gates, cohort mix, rewards, gold sets, and validation until cost, data quality, and volume sit at the right operating point.