This New AI Browser Tool Lets You Automate Tasks 24/7 (Better Than Comet & Atlas)

If you are spending time every day doing repetitive work inside a browser, there is a better way. I want to show you a practical, step by step approach to automating those tasks using DeepAgent’s new AI browser capabilities. You can schedule repeatable workflows, run automated website tests, generate high quality leads, apply to jobs automatically, extract invoices, and even send reports by email on a cadence you choose. This guide walks you through exactly how to set up these automations, real world examples you can copy, best practices, security considerations, and the ROI you can expect.

Table of Contents

• Why browser automation with AI matters right now
• Quick overview: What this tool can do
• How to get started: a hands on setup walkthrough
• Example 1: Automated lead generation for a local business
• Example 2: Scheduled website automation tests
• Example 3: Automated job applications using your resume
• Example 4: Invoice extraction and financial summaries
• Scheduling, recurrence, and cadence options
• Integrating LLMs and ChatLM access
• Comparison to Comet Browser and Atlas Browser
• Pricing and ROI
• Security, credentials, and best practices
• Prompt templates and examples you can copy
• Troubleshooting and limitations
• Advanced ideas and creative use cases
• Suggested images and multimedia
• Meta description and tags
• Call to action
• Frequently asked questions
• Final notes

Why browser automation with AI matters right now

We are at the point where AI can operate a browser reliably enough to replace many manual workflows. The advantage over traditional automation tools is natural language intent. Tell the AI what you want, and it can discover targets, interact with forms, click buttons, download files, and send results back to you. That makes the tool accessible to non developers and powerful enough for technical users.

DeepAgent combines an AI-driven agent with a full browser automation engine you can schedule. You can implement tasks that run hourly, daily, weekly or monthly. You can author the task in plain English and refine it based on results. The same approach works for lead generation, QA tests, job applications, invoice gathering, social outreach, or anything you currently do manually inside Chrome or Firefox.

Quick overview: What this tool can do

• Operate a browser as an autonomous agent capable of navigation, form filling, downloads, uploads, and scraping.
• Accept plain English instructions, then translate those instructions into a repeatable automated workflow.
• Schedule recurring runs so tasks happen 24/7 without human intervention.
• Return structured outputs: spreadsheets, PDFs, email summaries, and custom templates per target.
• Integrate with your email or export files so you can act on the results.
• Access multiple AI models via ChatLM so you can use different LLMs from a single interface.

How to get started: a hands on setup walkthrough

Here is a concise, repeatable sequence you can follow the first time you create an automated browser task. I wrote this so you can copy it exactly.

1. Open DeepAgent. Go to the Tasks section and click New Task.
2. Choose Create Deep Agent Task and enable Browser Use. This turns on the autonomous browser capability.
3. In the description field, describe what you want the agent to do using plain language. Be specific about outputs, quantities, and cadence.
4. Answer any follow up questions the agent asks during task creation. These will clarify credentials, file locations, or special behaviour like captchas.
5. Run the task once to review results. Inspect the files generated and any email content the agent drafts.
6. If you are happy with the result, set a schedule: hourly, daily at 9:00 a.m., every Friday, or monthly. Confirm the recurring task.
7. Optional: Connect your email and give permission for the agent to send messages or attach files on your behalf.

That is it. Once scheduled, the task runs and you will receive outputs automatically. You can modify the natural language instructions anytime and re-run or re-schedule.

Example 1: Automated lead generation for a local business

One of the most practical automation use cases is lead generation. Instead of manually searching business listings, scraping websites, and crafting outreach emails, you can instruct the agent to find leads and create tailored messages for each prospect. Below is a real world example you can adapt.

Task goal example:

Find me leads for my window washing business in Boca Raton, Florida. Get me 10 to 15 leads and create a custom email I can send to each one to pitch my services.

What the agent does after you create that task:

• Searches Google Maps, local business directories, and social profiles for commercial and residential properties in Boca Raton that match your criteria.
• Extracts contact names, phone numbers, email addresses, website URLs, and notes about the property.
• Creates a lead breakdown and highlights premium targets and next steps.
• Drafts a custom email template for each lead with personalization suggestions.
• Exports the results into a PDF and a Google Sheet. Optionally schedules outreach via your email account.

Sample custom email template the agent might produce:

Subject: Weekend Window Cleaning Special for [Business Name]

Hi [Contact Name],

I noticed your storefront windows at [Address or Landmark] and wanted to offer a professional window cleaning service that helps storefronts look sharp for weekend traffic. We specialize in streak free cleaning, flexible scheduling, and competitive pricing for Boca Raton businesses.

If you are interested, I can schedule a free walk through and send a quote within 24 hours. Does Thursday or Friday morning work for you?

Best,

[Your Name]• [Business Name]• [Phone]

This level of personalization significantly increases response rates compared to generic outreach. And because it runs automatically, you can schedule it daily at 9 a.m. and receive 15 fresh leads every day without touching a browser.

Example 2: Scheduled website automation tests

If you manage a SaaS product or an internal web app, manual regression testing is tedious. DeepAgent can log in, verify specific elements, attempt downloads, and report results via email on a schedule. You just describe the test steps.

Sample test request you might enter:

Create an automation test schedule for my website. Follow these testing steps: 1. Go to the website and verify authentication is working with these credentials. 2. Check that the homepage displays data for the current month and that there are four invoices for the current month. 3. Verify download functionality by downloading one current month invoice and confirming the file saved correctly. Run tests every Friday and send the testing report to my email by 3 p.m. PDT.

What the agent performs:

• Opens the browser and navigates to the login page.
• Fills credentials and authenticates. If multi factor is required, the task can be configured to notify you or follow a preapproved flow.
• Checks page content: verifies the displayed month and counts the invoices.
• Attempts a file download and confirms successful file retrieval.
• Composes a pass or fail summary and emails it to you with logs and any downloaded files attached.

Typical output from a passed test includes a timestamped report, a list of test steps, screenshots of success points, and the downloaded file. If something fails, the report will highlight the step, include a screenshot, and recommend next steps.

Why this matters: instead of spending 30 to 60 minutes running these checks, the agent does it for you automatically on the cadence you choose. That reduces downtime and catches regressions faster.

Example 3: Automated job applications using your resume

Applying to jobs is repetitive data entry. The agent can take your resume and a list of job links in a Google Sheet and apply to each job one by one using the correct details. It can fill forms, answer screening questions, and update the Sheet with the application status.

How to instruct the agent:

Take this Google Sheet and apply to jobs one by one with my details on each given link. If a website asks for captcha, mark it in the sheet and skip. Apply to one job at a time and continue until the sheet is finished. Resume attached.

What you get back:

• A running task that processes entries hourly or at a cadence you set.
• Automatic form filling on LinkedIn, company career pages, or job boards where applications are browser based.
• Captured answers to screening questions such as employment eligibility, salary expectations, or relocation willingness.
• An updated Google Sheet with company name, job title, application link, apply date, application status, and notes for any manual follow up.

Practical tip: include columns in your Sheet for custom fields like preferred salary range and cover letter snippets. The agent can reference those cells when filling application text areas. Also instruct the agent how to behave if the job requires custom essay answers — you can ask it to synthesize responses from your resume and job description.

Example 4: Invoice extraction and financial summaries

Handling invoices often means logging into vendor portals, downloading files, and extracting line items into an accounting sheet. DeepAgent can automate that entire flow and email you a summary daily.

Task instruction example:

Manage all invoices in this sheet. Visit the vendor portal, download invoices present for the current month, enter invoice details into Google Sheet, and email me the sheet link and a summary at 9 a.m. Pacific.

What will happen after creation:

• The agent logs into the site using the credentials you supplied during setup.
• It navigates to the invoices area, finds the current month invoices, downloads each file, and extracts metadata such as invoice number, date, total, and vendor name.
• It appends these details to your Google Sheet and marks which invoices have been downloaded and processed.
• At the scheduled time, it emails you a summary with links to the sheet and attached files if needed.

Result: a daily or weekly snapshot of outstanding invoices without manual effort. You save time and reduce missed payments.

Scheduling, recurrence, and cadence options

One of the things that sets this tool apart is the scheduling capability. Unlike some other AI browsers that only support one off runs, you can set a task to recur at practically any cadence. Use cases to consider:

• Hourly scraping for time sensitive listings or jobs.
• Daily lead generation every morning at 9 a.m.
• Weekly regression tests on Friday at 3 p.m. to verify release stability.
• Monthly financial reconcilation tasks that run on the first business day.

Pick the cadence that fits the business need. For lead gen, daily is great. For tests and invoices, weekly or daily might make more sense depending on transaction volume.

Integrating LLMs and ChatLM access

DeepAgent offers access to ChatLM, which is a unified chat interface that lets you use multiple AI models such as GROC, Gemini, Claude, and ChatGPT without subscribing to each model separately. That matters when you want to experiment with prompts or use a different model for particular tasks. For example, you may prefer one model for summarization and another for creative email copy.

How to use this in practice:

• Author the task using ChatLM to refine prompts before scheduling.
• Switch models inside the same chat to test which produces the best email templates or extraction accuracy.
• Use higher accuracy models for sensitive QA tests and faster models for large scale scraping.

Comparison to Comet Browser and Atlas Browser

There are several AI-powered browsers and automation tools on the market. Two common names you may have heard are Comet and Atlas. Here are the main differences based on real world usage:

• Scheduling: DeepAgent supports recurring scheduled tasks natively. Comet and Atlas do not currently provide a robust scheduled task workflow in the same way.
• Speed and reliability: DeepAgent’s automation engine often completes tasks faster and more reliably in my experience, especially for multi step tasks that involve file downloads and multi page navigation.
• Output formats: DeepAgent attaches files, PDFs, and Google Sheets as outputs and can email results directly to you on a schedule. That makes it more suitable for operational workflows.
• Model access: With ChatLM integrated you get access to multiple LLMs in one interface, which can reduce the need for separate subscriptions.

All tools have strengths. If you need one time exploratory automation, other browsers may be fine. If you want recurring 24/7 automation with reliable reporting and email delivery, DeepAgent gives you a cleaner path to production.

Pricing and ROI

Pricing structures vary. At the time of writing, DeepAgent launched a browser use scheduled tests offering for around ten dollars per month. That price point makes it cost effective to automate tasks that are repetitive and time consuming.

To calculate ROI, estimate the time you currently spend on the task and multiply by your hourly rate. If you spend three hours per week performing a set of checks that the agent can run automatically, and you value your time at 50 dollars an hour, the monthly savings from automating just that one task would be substantial. Even for small businesses, automating lead generation or invoice reconciliation can quickly offset the monthly fee.

Security, credentials, and best practices

When you give any automation tool access to credentials or email, security matters. Here are recommended practices:

• Use least privilege credentials. Create service accounts or dedicated user accounts for automation when possible. Avoid using personal admin accounts.
• Rotate passwords and use secrets management if the platform supports it. Provide credentials during task creation and revoke access when you no longer need the automation.
• Limit email permissions. If the agent needs to send emails, grant only the permissions it needs and review message templates to prevent accidental leaks.
• Be explicit about captchas. If a site uses captcha or other bot detection, have the agent mark the row and notify you rather than forcing an unreliable bypass.
• Store sensitive output securely. If the agent downloads invoices that contain personal data, ensure the destination Google Sheet and file storage are protected and access controlled.

Prompt templates and examples you can copy

Prompts are the heart of reliable automation. Below are templates for the four core examples used earlier. Copy, paste, and customize.

Lead generation prompt

Find me 10 to 15 leads for a window washing business in Boca Raton, Florida. Prioritize commercial storefronts and property managers. For each lead include company name, contact name, role, phone number, email, website, address, any notes on why they are a good fit, and a short personalized email. Output results as a Google Sheet and a PDF. Schedule this task daily at 9 a.m. Eastern.

Website automation test prompt

Run the following tests on https://example.com with the credentials I will provide. 1. Log in and verify authentication works. 2. Verify the dashboard displays the current month and exactly four invoices. 3. Download one invoice for the current month and confirm the file downloaded successfully. Email the test report to my address every Friday by 3 p.m. PDT with pass or fail and screenshots.

Job application prompt

Use the attached Google Sheet of job links and my resume to apply. For each job, fill out the required forms using my resume and the data in the sheet. If a captcha appears, mark the sheet and skip. Update the sheet with company name, position, application link, date applied, and application status. Run hourly until complete.

Invoice extraction prompt

Log into this vendor portal, find invoices for the current month, download each invoice PDF, extract invoice number, date, total, and vendor name, and append a row to the Google Sheet with those details. Email me a summary with the sheet link at 9 a.m. Pacific daily.

Troubleshooting and limitations

While AI browser agents are powerful, they are not magic. Here are common pitfalls and how to handle them:

• Dynamic content and heavy client side rendering can sometimes cause selectors to fail. Solution: add a brief wait step in the instructions or ask the agent to wait until a specific text or element appears.
• Captcha and anti bot protections will halt automation. Solution: configure your task to flag these cases and leave them for manual completion. Consider using official APIs when available.
• Two factor authentication requires preplanning. Solution: use app specific passwords or service accounts where possible, or implement a manual approval step if the platform needs a 2FA code for each login.
• Site layout changes can break selectors. Solution: schedule periodic monitoring and test runs so you catch breakages early and refine the prompt.
• Data extraction accuracy varies by model and complexity of invoices. Solution: include a validation step in your instruction and sample outputs for the agent to mimic.

Advanced ideas and creative use cases

Once you have the basics automated, the next step is to chain tasks and build workflows across systems. Here are some advanced ideas to inspire you:

• Auto nurture: create a lead generation task that feeds a CRM. Once leads are added, trigger an automated email campaign that follows a sequence over two weeks.
• Release verification: combine smoke tests, load checks, and a rollback readiness check into one weekly scheduled run to give your ops team a single health grade before releases.
• Market scanning: scrape competitor pricing and product pages hourly and alert you only when significant price changes or new SKUs appear.
• Customer success: monitor customer dashboards for failed uploads, then create tickets in your helpdesk system with screenshots and suggested fixes.
• Compliance auditing: run scheduled checks that ensure important pages include required disclosures and privacy notices and send a week over week compliance report.

Suggested images and multimedia

To complement this article on your site, consider adding the following assets:

• A screenshot of the New Task creation page showing the Browser Use toggle enabled.
• Example output: PDF lead list or the Google Sheet filled out by the agent.
• Short screencast of a task running and generating an email summary.
• Annotated flow diagram showing input, agent steps, outputs, and schedule.

Alt text suggestions for images:

• “DeepAgent New Task screen with browser use enabled”
• “Generated lead sheet showing company, contact, email, and personalized pitch”
• “Website automation test report with pass and fail steps and screenshots”

Meta description and tags

Meta description: Automate browser tasks with DeepAgent: schedule lead generation, website tests, job applications, and invoice extraction for 24/7 automation. Save time and scale workflows. (150 characters)

Suggested tags: DeepAgent, AI browser, browser automation, automate tasks, scheduled tests, lead generation, job applications automation, invoice management, ChatLM, Abacus AI, Comet alternative, Atlas alternative

Call to action

If you are tired of repetitive browser tasks, start by automating one workflow today. Pick the most time consuming repetitive task you do in a browser, write a clear instruction for the agent using the templates above, run it once to validate outputs, and then set a schedule. You will be amazed at how quickly the time savings add up.

To experiment, consider creating a simple daily check that logs into a website you use, takes a screenshot of an important dashboard metric, and emails it to you each morning. It takes minutes to configure and can save hours of manual checking each month.

Frequently asked questions

What kinds of browser tasks can the AI automate?

The AI can automate navigation, form filling, data extraction, file downloads, file uploads, multi page workflows, and actions that you would normally perform manually in a browser. Common use cases include lead generation, scheduled website tests, applying to jobs, invoice extraction, and monitoring pages for changes.

How do I schedule recurring tasks?

When creating or editing a task you can choose a recurrence or cadence such as hourly, daily at a specific time, weekly on a certain day, or monthly. Once scheduled, the agent will run automatically and deliver outputs to the configured destinations like Google Sheets or email.

What happens if a website requires captcha or has anti bot protection?

If a site prompts a captcha, configure the agent to mark that entry in your tracking sheet and skip it. The agent can notify you to complete the captcha manually. For strict anti bot protections, consider using official APIs or requesting whitelisting where available.

Can the agent send emails on my behalf?

Yes. You can grant email permissions so the agent can send the summary reports, outreach messages, or results. Always follow security best practices and only grant the minimum necessary permissions.

Is this better than Comet or Atlas?

DeepAgent stands out for scheduled recurring tasks, robust file outputs, and integrated ChatLM access to multiple LLMs. Comet and Atlas have strengths but may not offer the same scheduling features and production friendly outputs. Choose the tool that best fits your workflow.

How much does it cost and what is the ROI?

Prices vary. At launch, scheduled browser tests were offered at about 10 dollars per month. ROI depends on the time you recover. Automating even a single 30 to 60 minute daily task often results in a positive ROI within a month for most small businesses and freelancers.

What security steps should I take?

Use least privilege accounts, rotate credentials, store outputs in secured locations, avoid sharing master admin credentials, and configure the agent to flag captchas or any manual steps. Use app specific passwords or service accounts when possible.

Can I customize output formats?

Yes. The agent can export to Google Sheets, generate PDFs, save downloads, and compose emails with attachments. You can specify the desired output format in your instructions.

How do I handle changes in website layouts?

Add error handling in the prompt, commit to periodic maintenance runs, and ask the agent to create logs and screenshots on failure. Use clear validation steps so you catch when selectors or page structures change.

Final notes

Automating browser tasks with an AI agent unlocks significant productivity gains. Start small, validate outputs, and then scale to more complex workflows. Use the prompt templates in this article to get started and adapt them for your specific needs. Over time you will save hours each week and have cleaner operational workflows that run reliably 24/7.

When you automate thoughtfully and securely, these tools stop being experiments and become core parts of how your business runs. Put one repetitive task on autopilot today and measure the difference next week.