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Automate Fly with AI Agents.

Automate Fly with AI workers to streamline infrastructure workflows, improve deployment visibility, and reduce repetitive DevOps admin across teams.

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Your Fly AI Worker

Fly AI Worker

Active
You: Review today’s Fly deploy activity across all production apps, identify any failed or rolled-back releases, summarize likely causes from the deployment notes, and prepare a follow-up checklist for the on-call...
Scanning Fly deployment activity across production apps...
Prioritizing failed releases and drafting next steps...

3 failed deployments triaged in one pass.

The worker grouped today’s Fly deployment activity by app, highlighted failed and rolled-back releases, and produced a clean follow-up checklist for the on-call engineer...

3Deployments triaged
14Apps reviewed

2 hoursBeforeto9 minWith Toolhouse

Use cases

Infrastructure automation with Fly

Infrastructure automation with Fly

Use case 1

Automate app deployment and infrastructure workflows

Toolhouse AI workers can use Fly to support workflows around infrastructure deployment, service health, and cloud operations. Workers can monitor changes, trigger follow-up actions, and reduce the manual effort required to keep infrastructure workflows moving. This helps engineering and platform teams improve responsiveness while organizing deployment operations more effectively.

Your Fly AI Worker

Fly AI Worker

Active
You: Check service health for our customer-facing Fly apps, flag any regions with elevated errors or restart activity, and draft a status update I can send to engineering leadership before the daily standup.
Reviewing Fly service health by app and region...
Summarizing reliability risks for stakeholder update...

5 service risks surfaced before standup.

The worker turned raw Fly infrastructure signals into an executive-ready health summary, identifying regions with rising errors, restart spikes, and apps needing attenti...

5Risks flagged
8Regions analyzed

90 minutesBeforeto7 minWith Toolhouse

Use case 2

Track service health and release activity

Infrastructure workflows create the most value when service or deployment changes automatically trigger the right next action. By combining Fly with Toolhouse, AI workers can support release follow-up, service routing, and operational coordination across platform teams. That improves speed and helps teams keep infrastructure workflows reliable with less repetitive effort.

Your Fly AI Worker

Fly AI Worker

Active
You: Audit our last 30 days of Fly release activity, find apps with the most frequent hotfixes or repeated deploy issues, and create a shortlist of infrastructure workflows we should automate first.
Analyzing 30 days of Fly release patterns...
Ranking repetitive infrastructure workflows by impact...

4 high-friction release workflows identified.

The worker analyzed Fly release patterns over the past month and highlighted which apps generated the most manual follow-up, hotfix churn, and repeated deployment interv...

4Workflows prioritized
30Days analyzed

2 daysBeforeto18 minWith Toolhouse

Use case 3

Support DevOps and platform teams

Teams often lose time manually checking deployment status, coordinating repetitive ops follow-up, and tracking service issues across systems. AI workers can use Fly to support those recurring workflows, reduce repetitive admin, and maintain stronger visibility into what needs attention. This makes cloud operations easier to scale across apps and environments.

Your Fly AI Worker

Fly AI Worker

Active
You: Prepare a weekly Fly operations report for all live services showing deployment volume, uptime trends, recurring incidents, and where our platform team is spending the most manual effort.
Compiling Fly deployment and uptime activity...
Turning infrastructure events into an ops summary...

Weekly ops report generated for 22 live services.

The worker compiled a structured operations report from Fly activity, covering deployment frequency, uptime patterns, recurring service issues, and the areas creating​ t...

22Services reported
11Incidents summarized

4 hoursBeforeto12 minWith Toolhouse

Use case 4

Reduce repetitive infrastructure admin

Organizations also benefit from stronger reporting on uptime, workflow bottlenecks, and deployment performance. Toolhouse can automate Fly-based workflows that summarize infrastructure activity, flag issues, and support recurring engineering reviews. That improves oversight without adding more manual reporting work.

Your Fly AI Worker

Fly AI Worker

Active
You: Automate Fly with AI workers to streamline infrastructure workflows, improve deployment visibility, and reduce repetitive DevOps admin across teams.
Reading workflow context...
Preparing the next best action...

Reduce repetitive infrastructure admin

Organizations also benefit from stronger reporting on uptime, workflow bottlenecks, and deployment performance. Toolhouse can automate Fly-based workflows that summarize...

-Tasks handled
-Actions ready

manualBeforetominutesWith Toolhouse

Use case 5

Report deployment and uptime trends

Leadership teams benefit from reporting on service reliability, workflow efficiency, and operational impact. AI workers can summarize Fly activity into reports on deployment trends, infrastructure health, and business outcomes, helping teams improve platform operations over time. Better reporting supports stronger DevOps strategy and smarter infrastructure execution.

Your Fly AI Worker

Fly AI Worker

Active
You: Automate Fly with AI workers to streamline infrastructure workflows, improve deployment visibility, and reduce repetitive DevOps admin across teams.
Reading workflow context...
Preparing the next best action...

Report deployment and uptime trends

Leadership teams benefit from reporting on service reliability, workflow efficiency, and operational impact. AI workers can summarize Fly activity into reports on deploy...

-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

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

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

Kristian Freeman

Manager @ Large Engineering Company

InfrastructureSince 2025

Pricing

Simple, transparent pricing

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

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 →

 

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FAQ

Using Fly with AI workers

Common questions about Fly automation with AI workers.

How can Toolhouse automate Fly workflows?

Toolhouse lets you build AI workers that use Fly to automate deployment follow-up, service workflows, infrastructure routing, and reporting across engineering teams.

Is Fly a good fit for AI workers?

Yes. Fly is a strong fit for AI workers because infrastructure workflows are repetitive and benefit from automated monitoring, routing, and visibility.

What teams benefit from Fly automation?

Engineering, DevOps, platform, and infrastructure teams benefit most because they can reduce repetitive ops admin and manage deployment workflows more efficiently.

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