Intent-driven flows
Describe the user journey and keep tests aligned with product behavior rather than brittle implementation details.
AI-native quality platform
Collective intelligence for software quality
AssertHive gives teams agent-ready tools to design, automate, and verify quality across browser flows, APIs, integrations, and release checks.
AIagent-ready design
E2Eproduct flow testing
Proofevidence-driven quality
AssertHive
Collective intelligence for software quality
Products
AI-native quality tools
AssertHive products help teams test product journeys and measure AI agent behavior with local, evidence-first workflows.
WebTest AI
Agent-ready browser automation for testing real user flows.
Browser automation built for the agent era
V2 beta coming soon. Release is pending live Jev validation.
Write Markdown goals. Let an agent navigate. Review fixed success checks, browser evidence, quality findings, and available model usage in one report.
Agent Performance Lab
Browser-first testing and observability for AI agents.
Measure AI agents from the browser
Agent Performance Lab is a Chrome DevTools extension for recording agent runs, reviewing tools and network activity, scoring governance, and turning sessions into repeatable local evals.
Agent-ready structure
Organize exploration, execution, debugging, observation, and reporting in a way AI agents can understand and improve.
Evidence-first testing
Capture artifacts, traces, screenshots, local recordings, and notes so each run explains what happened and why it matters.
Workflow
Explore, build, run, debug
AssertHive tools are designed around specialized agents that work together across the test lifecycle.
1
Explore
Map user flows, screens, selectors, API calls, and product behavior.
2
Build
Generate clear tests from product intent and team conventions.
3
Run
Execute tests locally or in CI with predictable artifacts and reporting.
4
Debug
Use evidence and agent-assisted analysis to explain failures faster.
Documentation
WebTest AI documentation
Install the CLI, write specs, run browser checks, record agent sessions, and review evidence from local or CI runs.
WebTest AI
Getting started, commands, config, guides, and API reference.
Agent Performance Lab
Chrome extension overview, beta install flow, privacy model, and release status.
WebTest AI v2 beta: coming soon
This is preview documentation for the upcoming release. Publication is pending live Jev validation. The demo uses a live navigator with mocked Jev element selection.