Does DoMyWork actually execute tasks in AirOps?

Yes. DoMyWork executes the work. When you describe a task, it interacts with your AirOps apps to build, test, or deploy, rather than just giving you a suggestion.

How is this different from native AI in AirOps?

Native AI in AirOps helps you write prompts. DoMyWork uses an agent to connect those prompts to other apps, run tests, and manage deployments automatically across your whole stack.

Is DoMyWork better than Zapier for AirOps workflows?

Zapier requires you to build logic step-by-step. With DoMyWork, you describe the goal in plain English, and the agent handles the multi-step execution across AirOps and 1,500+ other apps.

Can I monitor my AirOps apps with an agent?

Yes. You can set up agents on autopilot to watch your AirOps apps for performance drops, errors, or budget spikes, and have them act instantly.

Is my data safe with DoMyWork?

Yes. DoMyWork follows strict security protocols. Your data is processed securely and is never used to train public models.

Can I connect my AirOps apps to other tools?

Yes. DoMyWork connects AirOps to 1,500+ apps, allowing you to trigger actions in your CRM, helpdesk, or project management tools based on AirOps app performance.

AI Agent for AirOps

Build, test, and deploy your AI apps and internal tools automatically. DoMyWork AI agents work with AirOps and 1,500+ apps to turn your logic into real business results.

Create a new AirOps app for content tagging

Test my latest AirOps prompt with these rows

Deploy my draft app to production

Connect my AirOps app to Google Sheets

Summarise the performance of my recent AI apps

Update the prompt in my lead scoring app

Agent for

AirOps

A Product by

Trusted by

42,000+ businesses worldwide

Certified

💬 Chat with agent

Turn your AI logic into production-ready apps right now

Build custom apps, test prompts, connect data sources, deploy to production, and report on performance.

New app created in AirOps

Catch up on every AI app that needs a prompt update

"Check my AirOps apps, identify which ones have low performance scores, and draft better prompts for each one in AirOps."

Send Message

Deploy my latest content generator to production

"Take my draft content generator app in AirOps, run the validation test, and deploy it to production if it passes."

Send Message

Find the AI apps using outdated data sources

"Scan my AirOps apps and list any that are connected to stale Google Sheets or databases."

Send Message

Generate a report on AI app usage this month

"Analyse the logs for my AirOps apps and summarise how many requests each one handled this month."

Send Message

Test my new landing page copy generator

"Run my new landing page copy generator app against these 50 test leads and save the output to a new sheet."

Send Message

Got a different task in mind? Describe it

Send Message

Review all AI apps currently in production

"List all apps currently live in AirOps and check if their connected API keys are still valid."

Send Message

Clean up unused test apps in my dashboard

"Identify all AirOps apps that haven't been run in 30 days and move them to an archive folder."

Send Message

Check for errors in my automated AI pipelines

"Scan the error logs in AirOps for the last 24 hours and summarise the top three issues."

Send Message

Standardise prompt templates across my team

"Find all apps in AirOps that use a 'Customer Support' prompt and ensure they match the latest company template."

Send Message

Sync my AirOps app list with my internal wiki

"Export my active AirOps app list and update the documentation page in Notion."

Send Message

Got a different task in mind? Describe it

Send Message

Identify user feedback patterns in my AI app logs

"Analyse the user feedback logs in AirOps and group common complaints into three categories."

Send Message

Test new prompt versions against legacy data

"Run my updated 'Feature Summary' prompt in AirOps against last month's data and compare the results."

Send Message

Flag apps with high latency for optimisation

"Check the response times for all my AirOps apps and list those taking longer than three seconds."

Send Message

Document the logic for my core AI apps

"Extract the logic and prompt structure from my top five AirOps apps and save them to a markdown file."

Send Message

Validate new app configurations before launch

"Run the pre-launch test suite on my new 'Onboarding Assistant' app in AirOps."

Send Message

Got a different task in mind? Describe it

Send Message

Review support ticket responses generated by AI

"Sample 20 support responses from my AirOps app and flag any that sound robotic or incorrect."

Send Message

Update the tone of my support AI apps

"Find all support apps in AirOps and rewrite the system prompts to be more empathetic."

Send Message

Test how my support AI handles edge cases

"Run my support AI app against these 10 difficult customer scenarios and report the results."

Send Message

Check for outdated knowledge base links in prompts

"Scan my AirOps support apps for any links that point to the old help centre."

Send Message

Summarise customer sentiment from AI app logs

"Analyse the last 100 interactions in my support AI app and report on the overall customer sentiment."

Send Message

Got a different task in mind? Describe it

Send Message

Calculate the cost of my AI app requests

"Analyse the request volume for all AirOps apps and estimate the total token usage for this month."

Send Message

Audit access permissions for my AI apps

"List all team members with access to production AirOps apps and flag any who have left the company."

Send Message

Verify data consistency across AI apps

"Check that all AirOps apps are using the correct production database credentials."

Send Message

Report on AI app performance vs business goals

"Compare the output of my lead scoring AI app in AirOps against actual CRM conversion rates."

Send Message

Standardise the error handling in my AI apps

"Find all AirOps apps without an error-handling prompt and add a standard template."

Send Message

Got a different task in mind? Describe it

Send Message

How Does a AirOps AI Agent Work

Connect Your Apps

Type Your Task

Agent Executes & Reports Back

See it in action

Try AirOps AI Agent

🛸 Autopilot

Act on your AI app performance the moment it changes — with agents on autopilot

The agents work across your apps 24/7.

They catch performance drops, flag errors, and keep your production apps running smoothly.

Setting up an autopilot is too easy

New app is created in AirOps

Describe...

1. Flag low-performing AI apps before they impact campaigns

WhenEvery Monday at 09:00 AM

Then

Check all production apps in AirOps, identify those with performance scores below 70%, and post a summary to Slack.

Put on Autopilot

2. Test new app versions the moment they are saved

WhenApp is updated in AirOps

Then

Run the automated test suite on the updated app and alert me if the pass rate drops.

Put on Autopilot

3. Archive unused test apps to keep dashboard clean

WhenEvery Sunday at 08:00 PM

Then

Find apps in AirOps not run in 30 days and move them to the archive folder.

Put on Autopilot

4. Notify team of successful production deployments

WhenApp is deployed in AirOps

Then

Post a message to the #marketing-ai channel with the app name and deployment time.

Put on Autopilot

5. Monitor token usage for cost control

WhenEvery day at 06:00 PM

Then

Calculate daily token usage for AirOps apps and flag any that exceed the daily budget.

Put on Autopilot

1. Catch API errors in production apps instantly

WhenApp error is logged in AirOps

Then

Read the error log, determine if it is a critical API failure, and create a Jira ticket if needed.

Put on Autopilot

2. Verify API key health for production apps

WhenEvery day at 09:00 AM

Then

Check the status of all API keys connected to AirOps and email me if any are expiring.

Put on Autopilot

3. Sync app logs to data warehouse

WhenApp run is completed in AirOps

Then

Extract the run logs and append them to the master performance sheet in Google Sheets.

Put on Autopilot

4. Alert on unauthorised app changes

WhenApp is updated in AirOps

Then

Check the user who made the change and alert the admin if it was not an approved developer.

Put on Autopilot

5. Monitor system status for AirOps

WhenEvery hour

Then

Check the AirOps status page and post to Slack if there is a reported outage.

Put on Autopilot

1. Summarise user feedback from AI app logs

WhenEvery Friday at 04:00 PM

Then

Aggregate user feedback from all AirOps apps and post a sentiment report to the product channel.

Put on Autopilot

2. Flag high-latency apps for review

WhenEvery day at 10:00 AM

Then

Identify AirOps apps with response times over 3s and add them to the product backlog in Jira.

Put on Autopilot

3. Test new prompt templates against regression data

WhenPrompt is updated in AirOps

Then

Run the updated prompt against the regression test suite and email the product team the results.

Put on Autopilot

4. Detect drift in AI app outputs

WhenApp run is completed in AirOps

Then

Compare the current output against the baseline and alert me if the variance is too high.

Put on Autopilot

5. Track feature adoption for new AI apps

WhenEvery Monday at 09:00 AM

Then

Report on the number of runs for new apps launched in the last 7 days.

Put on Autopilot

1. Flag angry customer responses from AI apps

WhenApp run is completed in AirOps

Then

Analyse the AI output for customer sentiment and ping the on-call manager if it is negative.

Put on Autopilot

2. Review new support app prompts

WhenApp is created in AirOps

Then

Check if the new app is a support app and assign it to a CS lead for prompt review.

Put on Autopilot

3. Update knowledge base links in prompts automatically

WhenEvery month

Then

Scan all support apps in AirOps for broken links and draft a fix for each one.

Put on Autopilot

4. Report on AI support app resolution rates

WhenEvery Monday at 09:00 AM

Then

Calculate resolution rates for all support AI apps and post to the CS dashboard.

Put on Autopilot

5. Monitor for hallucinations in support responses

WhenApp run is completed in AirOps

Then

Check the response for factual accuracy against the knowledge base and flag discrepancies.

Put on Autopilot

1. Alert on budget spikes in AI app usage

WhenEvery day at 05:00 PM

Then

Calculate total spend across all AirOps apps and alert the finance team if it exceeds the daily limit.

Put on Autopilot

2. Audit access for new team members

WhenNew user is added in AirOps

Then

Check the user's role and ensure they only have access to the appropriate apps.

Put on Autopilot

3. Verify compliance for AI app data usage

WhenEvery month

Then

Scan all AirOps apps for data privacy compliance and flag any that store PII in logs.

Put on Autopilot

4. Report on ROI for production AI apps

WhenEvery month

Then

Compare the cost of running AI apps in AirOps against the revenue they helped generate.

Put on Autopilot

5. Standardise error handling across the team

WhenApp is updated in AirOps

Then

Check if the app has standard error handling and alert the owner if it is missing.

Put on Autopilot

Build your own autopilot

Set the trigger. Describe the action. Done.

1. Select when agent is executed

App

AirOps

When

Select

2. Describe the task to agent

Put on Autopilot

Playbooks

Turn any repetitive process into a
click-to-complete workflow.

Collect inputs through forms, run AI agents on the spot — all on one page.

Content Tagging Playbook

FormCollect data with form

1. Enter Post Content

Enter Post Content

Fill fields below 👇

Title *

Body *

AI AgentExecute agent from playbook

2. Analyse Topics

Agent

Identify tags for {{Title}} and {{Body}}.

3. Update CMS

Update EntryinContentful

Content Tagging Playbook

Automatically tag new blog posts based on content.

Clone This Playbook

Ad Copy Generator Playbook

Generate variations for ad campaigns.

Clone This Playbook

Lead Nurture Email Playbook

Draft personal follow-ups for leads.

Clone This Playbook

Social Media Summary Playbook

Summarise news for social posts.

Clone This Playbook

Competitor Analysis Playbook

Analyse competitor websites.

Clone This Playbook

Access Audit Playbook

Review team access to apps.

Clone This Playbook

Log Cleanup Playbook

Archive old logs.

Clone This Playbook

Policy Update Playbook

Update internal policies.

Clone This Playbook

Incident Report Playbook

Draft incident summaries.

Clone This Playbook

Onboarding Setup Playbook

Provision new user access.

Clone This Playbook

Feature Request Playbook

Triage new feature requests.

Clone This Playbook

User Interview Playbook

Summarise user interviews.

Clone This Playbook

Release Note Playbook

Draft release notes.

Clone This Playbook

Bug Report Playbook

Triage new bugs.

Clone This Playbook

Product Roadmap Playbook

Update roadmap items.

Clone This Playbook

Ticket Triage Playbook

Triage new tickets.

Clone This Playbook

Customer Health Playbook

Assess customer health.

Clone This Playbook

Feedback Loop Playbook

Process feedback.

Clone This Playbook

Renewal Alert Playbook

Track renewals.

Clone This Playbook

Onboarding Check Playbook

Check onboarding status.

Clone This Playbook

Budget Review Playbook

Review spend.

Clone This Playbook

Compliance Audit Playbook

Audit compliance.

Clone This Playbook

Data Consistency Playbook

Fix data.

Clone This Playbook

Forecast Review Playbook

Review forecasts.

Clone This Playbook

Contract Review Playbook

Review contracts.

Clone This Playbook

1500+ App Integrations

Connect AirOps + Your Favourite Apps With AI Agents

Google Sheets

Webhook / API Integration

SafetyCulture (iAuditor)

Freshworks CRM (Freshsales Suite)

TikTok Lead Generation

Salesforce Marketing Cloud

RSS

Builderall Mailingboss

Facebook Custom Audiences

FastField Mobile Forms

Thrive Themes (Thrive Automator)

Instagram for business

Microsoft Dynamics 365 CRM

Google Search Console

QuickEmailVerification

Adobe Commerce (Magento)

Ora

CalendarHero (Zoom.ai)

CompanyCam (In Review)

Microsoft Dynamics 365 Business Central

Alchemer (SurveyGizmo)

Katana Cloud Manufacturing

Brilliant Directories

You Need A Budget (YNAB)

Wix

Accredible Credential

Box

Cisco Webex (Meetings)

GREEN-API (In Review)

Clio Grow

Facebook Ads Management And Insights

Agolix (Assessment Generator)

The Conversion Engine

WhatsApp V3 by OnlineLiveSupport

PDF Export by PDFCrowd

Lob

Forminit (Getform.io)

Vooplayer - ( Spotlightr )

Instabot: Chatbot Platform

The Course Creator's Kit

Really Simple Systems CRM

SMS Online Live Support

SolarWinds Service Desk

Eko

Manifestly Checklists

Tango Card (Under Review)

Unsplash (Under Review)

Sempico Solutions SMS

WhatsApp Blast, APIs & CRM by WAToolsonline

Planyo Online Booking

PagePixels Screenshots

NioLeads

Xoal

PostGrid Print and Mail

Crypto Valley Journal

Projekly – Project Management, CRM, HR & Invo

Google Photos(Under Review)

8x8

Email List Validation

BPC

LinkupAPI for LinkedIn

Moz

WhatsApp Notifications and Alerts by SyncMate

E2B

Automate any manual work with AI Agents

One-off tasks in one message

Chat

When

New app is created in AirOps

Then

Recurring Work on autopilot

Autopilot

AI App Deployment

Enter app details

Run test suite

Deploy to production

Repetitive Processes in 1 click

Playbooks

Why DoMyWork

Most Tools Call Themselves Agents.
Few Actually Are.

Capability	DoMyWork AI agent + execution	Claude Code Agentic dev CLI	Anthropic Cowork Desktop file agent	Zapier / Make / n8n Rule-based automation	ChatGPT + Copilot General AI assistants
	Getting Started
Instant To Start, No Setup			App Install Needed	Flows Must Be Built First
No Pre-Mapping Needed				Every Field Must Be Mapped
No Technical Skills Needed		Terminal, Scripts, Infra		Gets Complex Fast
	Reach & Execution
Built-In App Connections	1500+ Apps	Manual Config	Via Connectors Only	Each Needs Its Own Flow	Own Ecosystem Only
Web Research & Scraping	Built-In, No Extra Setup				Not Automation-Grade
	Intelligence
Reasons Through Edge Cases					Reasons, Rarely Acts
Scheduled Tasks					Limited Support
Single Prompt, Multi-App				Each App Pair Needs Own Flow	Conversation-Scoped Only

Agent for

AirOps

A Product by

Trusted by

42,000+ businesses worldwide

Certified

FAQ

Questions
About AirOps AI Agent

An AI agent for AirOps is a tool that executes tasks across your AirOps apps and connected tools. It doesn't just suggest prompts; it builds, tests, and deploys your AI logic directly.

Give It a Task.
Watch It Get Done.

Type in your task. The agent accesses your apps, reasons through the data, executes across your stack, and comes back with results.

👇 Tell the AI agent what to do

Run My Agent Free

AI Agent for AirOps

Turn your AI logic into production-ready apps right now

Catch up on every AI app that needs a prompt update

Deploy my latest content generator to production

Find the AI apps using outdated data sources

Generate a report on AI app usage this month

Test my new landing page copy generator

Got a different task in mind? Describe it

Review all AI apps currently in production

Clean up unused test apps in my dashboard

Check for errors in my automated AI pipelines

Standardise prompt templates across my team

Sync my AirOps app list with my internal wiki

Got a different task in mind? Describe it

Identify user feedback patterns in my AI app logs

Test new prompt versions against legacy data

Flag apps with high latency for optimisation

Document the logic for my core AI apps

Validate new app configurations before launch

Got a different task in mind? Describe it

Review support ticket responses generated by AI

Update the tone of my support AI apps

Test how my support AI handles edge cases

Check for outdated knowledge base links in prompts

Summarise customer sentiment from AI app logs

Got a different task in mind? Describe it

Calculate the cost of my AI app requests

Audit access permissions for my AI apps

Verify data consistency across AI apps

Report on AI app performance vs business goals

Standardise the error handling in my AI apps

Got a different task in mind? Describe it

How Does a AirOps AI Agent Work

Act on your AI app performance the moment it changes — with agents on autopilot

1. Flag low-performing AI apps before they impact campaigns

2. Test new app versions the moment they are saved

3. Archive unused test apps to keep dashboard clean

4. Notify team of successful production deployments

5. Monitor token usage for cost control

1. Catch API errors in production apps instantly

2. Verify API key health for production apps

3. Sync app logs to data warehouse

4. Alert on unauthorised app changes

5. Monitor system status for AirOps

1. Summarise user feedback from AI app logs

2. Flag high-latency apps for review

3. Test new prompt templates against regression data

4. Detect drift in AI app outputs

5. Track feature adoption for new AI apps

1. Flag angry customer responses from AI apps

2. Review new support app prompts

3. Update knowledge base links in prompts automatically

4. Report on AI support app resolution rates

5. Monitor for hallucinations in support responses

1. Alert on budget spikes in AI app usage

2. Audit access for new team members

3. Verify compliance for AI app data usage

4. Report on ROI for production AI apps

5. Standardise error handling across the team

Playbooks

Turn any repetitive process into a click-to-complete workflow.

What are playbooks?

Content Tagging Playbook

Ad Copy Generator Playbook

Lead Nurture Email Playbook

Social Media Summary Playbook

Competitor Analysis Playbook

Access Audit Playbook

Log Cleanup Playbook

Policy Update Playbook

Incident Report Playbook

Onboarding Setup Playbook

Feature Request Playbook

User Interview Playbook

Release Note Playbook

Bug Report Playbook

Product Roadmap Playbook

Ticket Triage Playbook

Customer Health Playbook

Feedback Loop Playbook

Turn any repetitive process into a
click-to-complete workflow.

Most Tools Call Themselves Agents.
Few Actually Are.

Questions
About AirOps AI Agent