Build agents around real expertise. Test them with real people.
Recruit the domain experts who can help define what your agent should do, then test it with the people it is built to serve. From workflow discovery to human evaluation, bring the right people into agent development.
Agents fail when the real work never makes it into the build.
Agents are only as useful as the work, judgment, and edge cases they are built around. Domain experts reveal how the job really gets done, while real users expose the situations, language, and constraints your team may not anticipate.
The workflow is incomplete
Process documents rarely capture every exception, shortcut, or dependency. Practitioners show you how the work actually happens and where an agent needs context to succeed.
Domain judgment is hard to encode
Experts know what matters when the answer is not obvious. Their reasoning can help shape agent behavior, boundaries, and the criteria you use to evaluate quality.
Real users change the test
Once an agent meets real people, goals shift, details are missing, and language gets messy. Human testing reveals whether the experience still works outside the happy path.
Test with the people your agent is built for.
Reach broad consumer audiences, technology professionals, business users, and hard-to-find specialists through one network. Add professional verification, custom screening, and managed recruiting when the workflow requires deeper expertise.
7.6M
People in the network
205K+
Technology professionals
3.2M
Professionals across 140 industries
Bring the right people into every stage of agent development.
Use domain experts to understand the work and define what good looks like. Then test with representative users and specialists to see where the agent succeeds, struggles, or needs refinement.
Understand the real workflow
Recruit practitioners who do the work every day to uncover the decisions, exceptions, context, and dependencies that rarely appear in process documentation.
Capture domain judgment
Learn what experts notice, prioritize, and decide when the answer is not obvious, giving your team stronger inputs for agent behavior and evaluation criteria.
Test task success
Put the agent in front of representative users and see whether they can accomplish what they came to do, where they get stuck, and why.
Test recovery and handoffs
See what happens when information changes, users correct themselves, or the agent needs to escalate. Evaluate whether people can recover and continue without losing context.
Evaluate behavior against expectations
Use the policies, requirements, or domain expectations that matter to your organization to shape managed studies and assess how the agent behaves in realistic scenarios.
AI Relationship Quality benchmark
Go beyond system performance with the ARQ™ benchmark, measuring understanding, trust, control, outcome, and affinity, with direct participant feedback showing what drives each score.
System performance is only part of AI quality.
Your evals can tell you whether an agent completes a task or behaves as expected. ARQ™ measures how people experience the interaction across understanding, trust, control, outcome, and affinity, with participant feedback explaining the scores.
ARQ™ is an expert-led Professional Services offering that gives teams a repeatable way to measure the human side of an AI experience and identify where improvement is needed.
Affinity
Understanding
Trust
Control
Outcome
Your engagement stays scoped to your work from start to finish.
Agent testing can involve sensitive workflows, conversations, and business context. Projects are commissioned and consented for the specific engagement, and customer data is kept isolated rather than pooled, resold, or repurposed.
Engagement-level isolation
Customer prompts, materials, and study data stay within the engagement and are not pooled into a shared commercial dataset.
No model conflict
We do not build foundation models. Our role is to provide human input rather than compete with the systems we help evaluate.
Project-specific consent
Participants are recruited and consented for the work they are asked to complete, with additional handling available for sensitive projects.
Put one agent experience in front of real people.
Choose the workflow you most want to understand. We can help identify the right audience, design the study, recruit participants, and uncover where the experience succeeds or breaks down.
Frequently asked questions
Can’t find the answer you’re looking for? Talk to our team.
How is this different from our evals?
Your evals test defined scenarios and expected behavior. Human testing adds people with their own goals, language, assumptions, and workflows, helping uncover experience issues and edge cases you may not have anticipated.
Can you test against our own policy?
Yes. For managed projects, your policies, requirements, or evaluation criteria can inform the study design and the questions participants or reviewers are asked to assess.
Who are the people doing this?
It depends on the workflow. We can recruit consumers, business users, technical professionals, and domain specialists using profile data, screeners, professional verification, and managed vetting where needed.
How fast can a wave run?
Timing depends on the audience, study design, and level of specialization. Broad audiences can recruit quickly, while niche professional or expert cohorts may require additional sourcing and screening.
Do we get the raw sessions?
Available outputs depend on the study method and workflow. They can include recordings, transcripts, participant responses, research findings, and other agreed deliverables. We define the output format during scoping.
What if the agent changes weekly?
You can run repeated studies as the agent evolves, using comparable tasks, audiences, or study designs to understand what changes across releases. The right approach depends on how frequently you need to test.
