AI integration landing page

Automate Gleap with AI Agents.

Automate customer feedback, bug reporting, and support follow-up with Gleap and AI workers. Use Toolhouse to turn product issues into faster action across support, operations, and product teams.

Try for free Read docs

7-day free trial | Cancel anytime

Your Gleap AI Worker

Gleap AI Worker

Active

You: Review all new bug reports from the last 24 hours, group duplicates, identify anything affecting checkout or login, and draft priority recommendations for product and support.

Scanning new Gleap bug reports...

Clustering duplicates and ranking issue severity...

Critical bug queue cut from 47 reports to 9 prioritized issues.

Duplicate bug reports were clustered, high-impact checkout and login issues were surfaced first, and a clean action list was prepared for product and support teams. This...

9Issues prioritized

38Duplicate reports merged

6 hoursBeforeto8 minWith Toolhouse

Use cases

Top Gleap automation use cases

Use case 1

Triage bug reports faster

Toolhouse AI workers can use Gleap to capture incoming bug reports, categorize issues, and prioritize urgent cases automatically. Instead of manually sorting every submission, teams can route high-impact problems into the right workflow as soon as they are reported. This helps support and product teams reduce response time and keep issue queues under control. Faster triage means fewer customer escalations and better operational efficiency.

Your Gleap AI Worker

Gleap AI Worker

Active

You: Take all customer feedback submitted this week, classify each item as bug, feature request, UX issue, or support question, then route every item to the right owner with a short summary.

Reading weekly Gleap feedback submissions...

Classifying intent and matching team ownership...

186 feedback items routed automatically across product, support, and success.

Customer submissions were categorized by intent and assigned to the appropriate team with concise summaries for faster action. Product received feature themes, support g...

186Items routed

3Teams updated

2 business daysBeforeto11 minWith Toolhouse

Use case 2

Route feedback to the right team

Customer feedback is only valuable if it reaches the team that can act on it. By combining Gleap with Toolhouse, AI workers can analyze report context, detect likely ownership, and send feature requests, bugs, or UX complaints to the right function automatically. This reduces internal back-and-forth and keeps product operations organized. Teams spend less time sorting and more time resolving issues that affect retention.

Your Gleap AI Worker

Gleap AI Worker

Active

You: Find all open product issues with no customer update in the last 3 days, draft status replies, ask for missing reproduction details where needed, and prepare follow-up messages for support to send.

Checking open Gleap conversations for stale replies...

Drafting follow-up messages and missing-info requests...

73 stalled conversations reactivated with ready-to-send updates.

The worker identified unresolved reports lacking recent communication, drafted customer-friendly status messages, and flagged cases missing screenshots, device details,...

73Updates drafted

21Cases needing more details

7 hoursBeforeto14 minWith Toolhouse

Use case 3

Automate support follow-up

Support teams often need to acknowledge issues, collect missing context, and keep customers updated while fixes are in progress. AI workers can use Gleap to trigger follow-up workflows, send status updates, and prompt the next best action without manual chasing. That improves customer service while reducing repetitive support work. It is a practical way to automate high-volume issue communication at scale.

Your Gleap AI Worker

Gleap AI Worker

Active

You: Analyze the last 30 days of Gleap reports and tell me which recurring product issues are hurting activation, onboarding, or retention the most. Include trend summaries and recommended next actions.

Analyzing 30-day Gleap issue trends...

Summarizing recurring customer pain points by business impact...

4 product friction themes surfaced as the biggest retention risks.

The worker grouped issue patterns across onboarding, activation, and repeat complaints, then highlighted the themes most likely to impact conversion and churn. Leaders g...

4Trend themes found

512Reports analyzed

manual spreadsheet analysisBeforeto18 minWith Toolhouse

Use case 4

Monitor product issue trends

Recurring bugs and repeated complaints can signal larger product or operational problems. Toolhouse can use Gleap in monitoring workflows where AI workers track issue patterns, flag spikes in report volume, and surface trends that need attention. This gives teams a clearer view of what is hurting the customer experience most. Better monitoring helps leaders prioritize fixes with stronger business impact.

Your Gleap AI Worker

Gleap AI Worker

Active

You: Automate customer feedback, bug reporting, and support follow-up with Gleap and AI workers. Use Toolhouse to turn product issues into faster action across support, operations, and product teams.

Reading workflow context...

Preparing the next best action...

Monitor product issue trends

Recurring bugs and repeated complaints can signal larger product or operational problems. Toolhouse can use Gleap in monitoring workflows where AI workers track issue pa...

-Tasks handled

-Actions ready

manualBeforetominutesWith Toolhouse

Use case 5

Summarize customer pain points

Large volumes of feedback can be hard for non technical teams to interpret quickly. AI workers can summarize Gleap submissions into themes like onboarding friction, feature confusion, performance issues, or support gaps, then share concise reports with decision makers. This turns raw customer input into useful operational insight. The result is better reporting for product, support, and operations leaders.

Your Gleap AI Worker

Gleap AI Worker

Active

Reading workflow context...

Preparing the next best action...

Summarize customer pain points

Large volumes of feedback can be hard for non technical teams to interpret quickly. AI workers can summarize Gleap submissions into themes like onboarding friction, feat...

-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 →

No credit card needed

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

Talk to sales →

14-day free trial on all plans · cancel anytime

FAQ

Using Gleap with AI workers

Common questions about Gleap automation with AI workers.

How can Toolhouse automate Gleap workflows?

Toolhouse lets you build AI workers that use Gleap to automate bug triage, feedback routing, customer follow-up, issue monitoring, and reporting. This helps teams reduce manual support and product operations work.

Is Gleap a good fit for AI-driven support and product operations?

Yes. Gleap is a strong fit for AI workers because it sits at the center of customer feedback, bug reporting, and issue resolution workflows where speed and organization matter.

What business value comes from automating Gleap?

Automating Gleap helps businesses respond faster to product issues, reduce repetitive support work, improve feedback visibility, and turn customer reports into more reliable workflow automation.

Build this integration workflow in minutes

Turn your best documented process into a repeatable AI worker job.

Try for free Read docs