AssertHive icon AssertHive
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.

Read WebTest AI docs Explore products
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

WebTest AI is designed to help teams write, run, trace, and improve browser tests around real product journeys.

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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.

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01

Intent-driven flows

Describe the user journey and keep tests aligned with product behavior rather than brittle implementation details.

02

Agent-ready structure

Organize exploration, execution, debugging, observation, and reporting in a way AI agents can understand and improve.

03

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. 
npm install --save-dev @asserthive/webtest-ai
npx playwright install chromium

npx webtest-ai run --suite specs/homepage.md