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Automate Control D with AI Agents.

Automate Control D with AI workers to streamline DNS operations, improve network visibility, and reduce repetitive infrastructure admin across IT teams.

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Your Control D AI Worker

Control D AI Worker

Active
You: Review our DNS routing policies across all offices, flag any risky overrides or outdated rules, and prepare a cleanup plan prioritized by security impact and user disruption.
Scanning DNS routing policies across locations...
Prioritizing risky overrides by impact...

18 outdated DNS rules flagged for cleanup.

The worker grouped risky overrides by office, identified 5 rules with clear security exposure, and prepared a prioritized remediation plan so IT can clean up routing wit...

18Rules flagged
5High-risk policies found

2 daysBeforeto11 minWith Toolhouse

Use cases

DNS and traffic control automation with Control D

DNS and traffic control automation with Control D

Use case 1

Automate DNS policy and routing workflows

Toolhouse AI workers can use Control D to support workflows around DNS control, network policy, and traffic routing operations. Workers can monitor changes, trigger follow-up actions, and reduce the manual effort required to keep infrastructure workflows moving. This helps IT and security teams improve responsiveness while organizing DNS-related operations more effectively.

Your Control D AI Worker

Control D AI Worker

Active
You: Analyze unusual DNS traffic from the last 7 days, surface domains that look suspicious, and draft an escalation summary for our security team with the highest-priority items first.
Reviewing DNS traffic behavior for anomalies...
Ranking suspicious domains by threat level...

9 suspicious traffic patterns surfaced for review.

The worker organized suspicious DNS activity into a ranked incident summary, highlighted likely security-related patterns, and prepared a concise escalation package so t...

9Anomalies detected
4Incidents pre-triaged

6 hoursBeforeto14 minWith Toolhouse

Use case 2

Track network behavior and security signals

Network workflows create the most value when traffic or policy changes automatically trigger the right next action. By combining Control D with Toolhouse, AI workers can support alert routing, issue follow-up, and internal coordination across IT and infrastructure workflows. That improves speed and helps teams manage network operations more consistently.

Your Control D AI Worker

Control D AI Worker

Active
You: Find recurring DNS policy change requests from our IT queue, group them by type, and draft standard actions we can automate for branch office onboarding and device rollout.
Reviewing repetitive DNS change requests...
Grouping policy updates into automatable workflows...

3 high-volume DNS admin workflows identified.

The worker analyzed repetitive request patterns, grouped the most common DNS policy tasks, and drafted standardized actions for onboarding and rollout workflows to reduc...

3Workflows standardized
74Requests covered per month

1 weekBeforeto18 minWith Toolhouse

Use case 3

Support IT and infrastructure teams

Teams often lose time manually checking DNS settings, reviewing traffic behavior, and coordinating repetitive network tasks. AI workers can use Control D to support those recurring workflows, reduce repetitive admin, and maintain stronger visibility into what needs attention. This makes infrastructure operations easier to scale across multiple systems and environments.

Your Control D AI Worker

Control D AI Worker

Active
You: Create an executive-ready monthly summary of DNS performance, routing efficiency, blocked traffic trends, and infrastructure issues that need attention.
Compiling DNS performance and routing trends...
Summarizing blocked traffic and infrastructure issues...

Monthly DNS operations report generated in minutes.

The worker assembled a clear operations summary covering routing performance, blocked traffic trends, and infrastructure exceptions, giving leadership a faster way to re...

1Reports generated
7Issues highlighted

5 hoursBeforeto9 minWith Toolhouse

Use case 4

Reduce repetitive network admin

Organizations also benefit from stronger reporting on traffic patterns, workflow bottlenecks, and policy performance. Toolhouse can automate Control D-based workflows that summarize network activity, flag anomalies, and support recurring infrastructure reviews. That improves oversight without adding more manual reporting work.

Your Control D AI Worker

Control D AI Worker

Active
You: Automate Control D with AI workers to streamline DNS operations, improve network visibility, and reduce repetitive infrastructure admin across IT teams.
Reading workflow context...
Preparing the next best action...

Reduce repetitive network admin

Organizations also benefit from stronger reporting on traffic patterns, workflow bottlenecks, and policy performance. Toolhouse can automate Control D-based workflows th...

-Tasks handled
-Actions ready

manualBeforetominutesWith Toolhouse

Use case 5

Report traffic and control trends

Leadership teams benefit from reporting on network health, routing efficiency, and operational impact. AI workers can summarize Control D activity into reports on DNS trends, security-related patterns, and workflow outcomes, helping teams improve infrastructure operations over time. Better reporting supports stronger IT management and smarter network control.

Your Control D AI Worker

Control D AI Worker

Active
You: Automate Control D with AI workers to streamline DNS operations, improve network visibility, and reduce repetitive infrastructure admin across IT teams.
Reading workflow context...
Preparing the next best action...

Report traffic and control trends

Leadership teams benefit from reporting on network health, routing efficiency, and operational impact. AI workers can summarize Control D activity into reports on DNS tr...

-Tasks handled
-Actions ready

manualBeforetominutesWith Toolhouse

Testimonials

What our customers say

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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 Control D with AI workers

Common questions about Control D automation with AI workers.

How can Toolhouse automate Control D workflows?

Toolhouse lets you build AI workers that use Control D to automate DNS follow-up, traffic routing workflows, infrastructure coordination, and reporting across IT teams.

Is Control D a good fit for AI workers?

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

What teams benefit from Control D automation?

IT, security, infrastructure, and operations teams benefit most because they can reduce repetitive network admin and manage DNS workflows more efficiently.

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