Know How Your AI Agent Behaves Before Customers Depend On It
Test the conversations that matter with dynamic multi-turn simulations. Challenge how your agent responds, verify supported actions, and review the evidence before your next release.
Initial Intent
Establish the user's goal.
New Information
Add details, correct a request or change direction.
Context And Policy
Check whether the agent preserves context and stays within scope.
Outcome Verification
Check the intended result in a supported system.
One Workflow Can Take Many Paths
AI agents can respond differently to the same request. Follow-up questions, changing intent and system actions create scenarios that a fixed conversation cannot fully represent.
Different Responses Need Consistent Criteria
Evaluate whether the response meets the user's goal and your requirements, even when the wording changes.
Important Scenarios Need Your Context
Add the edge cases, test data and escalation rules that cannot be inferred from the agent's instructions alone.
Actions Need Outcome Checks
Confirm that the intended booking or record update occurred, where verification is supported.
Changes Need Repeat Testing
Rerun priority scenarios after changes and review whether quality improves or regresses.
Challenge Your Agent With Dynamic Conversations
Define the workflow, expected behaviour and scenarios that matter. TestZeus adapts the next test message to your agent's response and gives your team evidence to review.
Test Conversations And Review The Outcomes
Dynamic Conversations With Defined Goals
Set a scenario and expected behaviour. The test agent responds to the conversation as it unfolds, challenging follow-ups and edge cases within configured limits.
Verify The Result Behind The Reply
Check supported tool calls and resulting data against the intended outcome. For Salesforce workflows, that can include checking whether a case was updated correctly.
Track Quality Across Repeated Runs
Review transcripts, findings and scores from multiple runs. Use trends to see where quality improves or declines as your team changes the agent.
From Agent Conversation To Reviewable Evidence
Select priority pathways, run dynamic conversations, verify supported outcomes, and review transcripts and quality trends before deciding what to change.
Your Agent
- Website chatbot
- In-app assistant
- Support assistant
TestZeus Testing
- Define pathways
- Run conversations
- Evaluate criteria
Supported Outcomes
- Tool calls
- Resulting data
- Workflow outcome
Your Review
- Transcripts
- Findings and scores
- Trends across runs
How Your Team Can Test Agent Workflows
| Consideration | Manual chat testing | Scripted or custom tests | TestZeus supported scope |
|---|---|---|---|
| Varying responses | People review the answers | Depends on evaluators used | Defined evaluation criteria |
| Conversation paths | People explore scenarios | Depends on scenarios and loops | Adaptive multi-turn simulation |
| Action outcomes | People inspect system state | Can check APIs and records | Supported tool and data checks |
| Scenario ownership | Team designs the checks | Team builds and maintains tests | Generated and custom pathways |
| Evidence over time | Depends on recordkeeping | Depends on reporting built | Transcripts and trends |
Start With One Workflow You Need To Trust
Bring a priority conversation, its expected outcome and the test data it needs. Walk through how to test it with our team.
Frequently Asked Questions
An AI chatbot or assistant that users access through a website or web app. Confirm the connection and verification scope for your agent with our team.
Define what the response must achieve and the criteria it must meet. Evaluate those criteria across repeated runs and review the conversation evidence.
TestZeus runs dynamic multi-turn simulations in supported environments. Define custom pathways and set the turn count and difficulty.
Start with a priority workflow, such as scheduling or a record update. Include escalation rules, unusual requests and the test data needed to verify the outcome.
Use repeat testing to review quality as the agent changes. Ask our team to confirm the trigger and reporting options available for your release workflow.
Start with generated pathways and editable scenario settings. Confirm the connection and any custom verification your web agent needs.
Review the TestZeus Trust Center and confirm the data handling, retention and access terms for your deployment: https://trust.testzeus.com/.
No finite test suite can cover every possible conversation. Prioritise the workflows and risks that matter, add domain-specific scenarios, and review coverage as the agent changes.
Compare results and trend lines across repeated runs of your priority scenarios. Keep criteria consistent and record the agent version for each run.
Get Evidence For Your Next Agent Release
Bring the conversation and outcome your team needs to trust. See how TestZeus can help you test it.
Know How Your AI Agent Behaves Before Customers Depend On It
Test the conversations that matter with dynamic multi-turn simulations. Challenge how your agent responds, verify supported actions, and review the evidence before your next release.
Initial Intent
Establish the user's goal.
New Information
Add details, correct a request or change direction.
Context And Policy
Check whether the agent preserves context and stays within scope.
Outcome Verification
Check the intended result in a supported system.
One Workflow Can Take Many Paths
AI agents can respond differently to the same request. Follow-up questions, changing intent and system actions create scenarios that a fixed conversation cannot fully represent.
Different Responses Need Consistent Criteria
Evaluate whether the response meets the user's goal and your requirements, even when the wording changes.
Important Scenarios Need Your Context
Add the edge cases, test data and escalation rules that cannot be inferred from the agent's instructions alone.
Actions Need Outcome Checks
Confirm that the intended booking or record update occurred, where verification is supported.
Changes Need Repeat Testing
Rerun priority scenarios after changes and review whether quality improves or regresses.
Challenge Your Agent With Dynamic Conversations
Define the workflow, expected behaviour and scenarios that matter. TestZeus adapts the next test message to your agent's response and gives your team evidence to review.
Test Conversations And Review The Outcomes
Dynamic Conversations With Defined Goals
Set a scenario and expected behaviour. The test agent responds to the conversation as it unfolds, challenging follow-ups and edge cases within configured limits.
Verify The Result Behind The Reply
Check supported tool calls and resulting data against the intended outcome. For Salesforce workflows, that can include checking whether a case was updated correctly.
Track Quality Across Repeated Runs
Review transcripts, findings and scores from multiple runs. Use trends to see where quality improves or declines as your team changes the agent.
From Agent Conversation To Reviewable Evidence
Select priority pathways, run dynamic conversations, verify supported outcomes, and review transcripts and quality trends before deciding what to change.
Your Agent
- Website chatbot
- In-app assistant
- Support assistant
TestZeus Testing
- Define pathways
- Run conversations
- Evaluate criteria
Supported Outcomes
- Tool calls
- Resulting data
- Workflow outcome
Your Review
- Transcripts
- Findings and scores
- Trends across runs
How Your Team Can Test Agent Workflows
| Consideration | Manual chat testing | Scripted or custom tests | TestZeus supported scope |
|---|---|---|---|
| Varying responses | People review the answers | Depends on evaluators used | Defined evaluation criteria |
| Conversation paths | People explore scenarios | Depends on scenarios and loops | Adaptive multi-turn simulation |
| Action outcomes | People inspect system state | Can check APIs and records | Supported tool and data checks |
| Scenario ownership | Team designs the checks | Team builds and maintains tests | Generated and custom pathways |
| Evidence over time | Depends on recordkeeping | Depends on reporting built | Transcripts and trends |
Start With One Workflow You Need To Trust
Bring a priority conversation, its expected outcome and the test data it needs. Walk through how to test it with our team.
Frequently Asked Questions
An AI chatbot or assistant that users access through a website or web app. Confirm the connection and verification scope for your agent with our team.
Define what the response must achieve and the criteria it must meet. Evaluate those criteria across repeated runs and review the conversation evidence.
TestZeus runs dynamic multi-turn simulations in supported environments. Define custom pathways and set the turn count and difficulty.
Start with a priority workflow, such as scheduling or a record update. Include escalation rules, unusual requests and the test data needed to verify the outcome.
Use repeat testing to review quality as the agent changes. Ask our team to confirm the trigger and reporting options available for your release workflow.
Start with generated pathways and editable scenario settings. Confirm the connection and any custom verification your web agent needs.
Review the TestZeus Trust Center and confirm the data handling, retention and access terms for your deployment: https://trust.testzeus.com/.
No finite test suite can cover every possible conversation. Prioritise the workflows and risks that matter, add domain-specific scenarios, and review coverage as the agent changes.
Compare results and trend lines across repeated runs of your priority scenarios. Keep criteria consistent and record the agent version for each run.
Get Evidence For Your Next Agent Release
Bring the conversation and outcome your team needs to trust. See how TestZeus can help you test it.
2025© testZeus All Rights Reserved
2025© testZeus All Rights Reserved
2025© testZeus All Rights Reserved