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Automate Testmu with AI Agents.

Automate testing workflows with Testmu and AI workers. Use Toolhouse to streamline QA operations, speed up release cycles, and reduce manual follow-up.

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Your Testmu AI Worker

Testmu AI Worker

Active

You: Review the last 25 failed test runs from this week, group duplicate failures by root cause, and create a prioritized triage summary for the QA lead with anything that could block Friday's release at the top.

Analyzing recent failed test runs...

Grouping failures by likely root cause...

9 release-blocking failures prioritized for immediate triage.

The worker grouped duplicate failures into shared issue clusters, reduced noisy investigation work, and surfaced the highest-risk defects first. QA and engineering can n...

9Failures prioritized

14Duplicate issues grouped

6 hoursBeforeto8 minWith Toolhouse

Use cases

Top Testmu automation use cases

Use case 1

Automate test run triage

Toolhouse AI workers can use Testmu to review incoming test results and flag failures that need attention first. Instead of having QA teams manually sort through every run, workers can identify patterns, group related issues, and trigger the next step automatically. This helps teams reduce noise and focus on the defects most likely to block releases. It is a high-value automation for faster, more reliable QA operations.

Your Testmu AI Worker

Testmu AI Worker

Active

You: Check whether the current build is ready for release by reviewing pass rates, unresolved critical failures, flaky test patterns, and open regression risks. Give me a ship / no-ship recommendation with a short...

Evaluating current build quality...

Checking for unresolved regression risks...

Release readiness report generated with a clear no-ship recommendation.

The worker summarized the build's test health into a simple decision brief for engineering and product leaders. Instead of waiting on manual QA status updates, the team...

4Critical blockers found

3Teams aligned

1 full dayBeforeto11 minWith Toolhouse

Use case 2

Track release readiness faster

Release teams often struggle to understand whether a build is truly ready to ship. By connecting Testmu to Toolhouse, AI workers can monitor test outcomes, highlight unresolved risk areas, and keep stakeholders updated on readiness. This creates a clearer workflow for product, engineering, and operations teams. The result is better release decision-making with less manual reporting.

Your Testmu AI Worker

Testmu AI Worker

Active

You: Take all new Testmu failures from the mobile checkout suite, classify them by product area and severity, then prepare bug routing notes so each issue can go to the right engineering squad with reproduction con...

Classifying failures by severity and feature area...

Preparing bug handoff summaries for engineering...

17 bugs classified and routed to the right owners faster.

The worker converted raw Testmu failures into structured bug-routing output with severity, product-area tagging, and concise reproduction context. That cuts the lag betw...

17Bugs routed

5Engineering squads assigned

5 hoursBeforeto14 minWith Toolhouse

Use case 3

Route bugs to the right teams

Bug routing is a repetitive workflow that slows down engineering teams when done manually. AI workers can use Testmu signals to classify issues, attach relevant testing context, and send them to the right owner based on severity or product area. That reduces delays between test failure and developer action. Faster routing improves both support for engineering teams and overall workflow automation.

Your Testmu AI Worker

Testmu AI Worker

Active

You: Summarize QA performance for the last 30 days: recurring failure categories, average time to resolution, delayed retests, and which teams have the biggest testing bottlenecks. Make it useful for next week's op...

Reviewing 30-day QA activity...

Identifying recurring bottlenecks and delays...

QA bottleneck report uncovered 3 major workflow delays.

The worker turned raw testing activity into an operations-ready summary that highlights where QA throughput is slowing down. Leaders can quickly spot recurring failure p...

3Bottlenecks identified

30Days analyzed

2 daysBeforeto18 minWith Toolhouse

Use case 4

Monitor QA workflow performance

QA leaders need more than raw test data to improve operations. Toolhouse can build AI workers that monitor Testmu activity across teams, surface bottlenecks, and report on recurring failure trends or delayed resolution. This gives managers clearer visibility into testing efficiency and team capacity. Better monitoring helps businesses improve software delivery without adding more manual oversight.

Your Testmu AI Worker

Testmu AI Worker

Active

You: Automate testing workflows with Testmu and AI workers. Use Toolhouse to streamline QA operations, speed up release cycles, and reduce manual follow-up.

Reading workflow context...

Preparing the next best action...

Monitor QA workflow performance

QA leaders need more than raw test data to improve operations. Toolhouse can build AI workers that monitor Testmu activity across teams, surface bottlenecks, and report...

-Tasks handled

-Actions ready

manualBeforetominutesWith Toolhouse

Use case 5

Summarize testing results automatically

Testing data is useful only when teams can act on it quickly. AI workers can turn Testmu results into concise summaries for engineering, product, or support teams, making it easier to understand what changed and what needs attention. These summaries can support standups, release reviews, and incident follow-up workflows. That saves time and improves communication across the business.

Your Testmu AI Worker

Testmu AI Worker

Active

You: Automate testing workflows with Testmu and AI workers. Use Toolhouse to streamline QA operations, speed up release cycles, and reduce manual follow-up.

Reading workflow context...

Preparing the next best action...

Summarize testing results automatically

Testing data is useful only when teams can act on it quickly. AI workers can turn Testmu results into concise summaries for engineering, product, or support teams, makin...

-Tasks handled

-Actions ready

manualBeforetominutesWith Toolhouse

Testimonials

What our customers say

1,000,000+ agents· 15,000+ teams· 1,000+ integrations· Start for free

“We built in record time what would have taken weeks otherwise! I can honestly say that without Toolhouse, our team would have been spending much MUCH more time delivering AI features in the products we're building.”

Marcos Ocón

COO @ Develative (Developer Agency)

EngineeringSince 2025

“I built an agent that qualifies my leads and books calls automatically. No developer, no agency. It paid for itself in the first week.”

Andrew Njoo

Founder @ Stack2Sale

MarketingSince 2025

“Our team of 12 was drowning in repetitive tasks. We described what we needed and the agent just worked. We didn't write a single line of code.”

Kristian Freeman

Manager @ Large Engineering Company

InfrastructureSince 2025

Pricing

Simple, transparent pricing

Start free, scale as you grow. No hidden fees, no surprises.

Business

$500/month

Includes FREE unlimited tokens

Credits / month25,000
Workers50
Log retention30 days
Worker email inboxIncluded
OnboardingIncluded
Organizations—
Account engineer—
SupportSlack, Email

Start now →

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For scaling businesses

Business Max

$1,200/month

Includes FREE unlimited tokens

Credits / month80,000
Workers500
Log retention1 year
Worker email inboxIncluded
OnboardingIncluded
OrganizationsIncluded
Account engineerOn demand
SupportPriority (Slack, Email, Phone)

Start now →

No credit card needed

For larger companies

Enterprise

Custom

For scaling needs

Credits / monthVolume pricing
WorkersUnlimited
Log retentionCustom
Worker email inboxIncluded
OnboardingIncluded
OrganizationsIncluded
Account engineerNamed
SupportCustom

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14-day free trial on all plans · cancel anytime

FAQ

Using Testmu with AI workers

Common questions about Testmu automation with AI workers.

How can Toolhouse automate Testmu workflows?

Toolhouse lets you build AI workers that use Testmu to automate test triage, bug routing, release readiness checks, QA reporting, and workflow monitoring. This reduces repetitive manual work across software teams.

Is Testmu a good fit for AI-driven QA operations?

Yes. Testmu is a strong fit for AI-driven QA and workflow automation because testing generates repeatable signals that workers can use to trigger actions, route issues, and keep teams aligned.

What business value comes from Testmu automation?

Testmu automation helps teams release faster, reduce manual QA coordination, improve bug response times, and gain better visibility into testing operations. That makes software delivery more efficient and reliable.

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