Plain-language agent creation
Describe an automation in plain language and Airtop builds a compiled agent from it. The product positions this as a way to create reliable workflows without writing selectors or scripts.
Airtop Agent Builder
Airtop Agent Builder turns plain-language browser tasks into reusable web agents for logins, site navigation, data extraction, and scheduled or triggered workflows.
What Airtop Agent Builder is
Airtop Agent Builder is a web automation product for creating AI agents from natural-language instructions. It compiles those instructions into reusable code that can run browser-based workflows across websites, including logged-in pages, forms, and data extraction tasks.
The page positions Agent Builder as a way to build and deploy automations from chat, then run them on schedules, triggers, or on demand. Airtop also emphasizes repair workflows: if an automation breaks, the system can draft a fix and test it before you decide whether to deploy the update.
Key capabilities
Compiled execution model
Compiled agents are tested at build time and then run as reusable code. Airtop says this approach is faster and more efficient than prompt-based, LLM-per-step agents.
Logged-in web automation
Agents can log in to websites using stored credentials, interact with forms, and extract the requested data from real pages. The site highlights secure vault-based credential handling for authenticated workflows.
Schedule and trigger support
Runs can be scheduled, triggered by webhooks, or launched on demand. This makes the same agent usable for recurring jobs and one-off tasks.
Self-healing repair drafts
If a run fails, Airtop can diagnose the issue, draft a fix, and test the repair before you choose whether to deploy it. Live agents are not changed automatically without your approval.
Observability and scale
The product provides logs, session replay, and video traces so you can inspect what happened during a run. Airtop also states that it can support up to 100 simultaneous sessions.
Common ways to use Airtop Agent Builder
Authenticated web scraping
Use the product to log in to a website, navigate multi-step pages, and extract structured data from portals that do not expose a simple API.
Scheduled monitoring
Set an agent to monitor a site, check for updates on a schedule, and collect results into a repeatable workflow instead of running the task by hand.
Support reporting
Compile recurring support conversations into a formatted summary document, similar to the Slack-to-Google-Docs template shown on the site.
Research and document compilation
Turn web research or page crawling into a document that consolidates findings from multiple pages, as shown by the website-to-Google-Docs template.
Batch processing across many records
Run repeated list-based jobs, such as processing many URLs or rows in one pass, when the same steps need to be applied at scale.
Pros and Cons
Pros
- Builds agents from plain-language instructions rather than scripts or selectors.
- Supports logged-in web workflows with stored credentials in a secure vault.
- Runs can be scheduled, triggered, or started manually.
- Provides logs, session replay, and video traces for review.
- Airtop says compiled agents are faster and cheaper to run than prompt-based agents.
Cons
- The provided pages do not document every supported integration or connector in detail.
- Pricing and capacity depend on plan credits, deployed-agent limits, and simultaneous-session limits, so larger workflows require checking the plan fit.
- The repair flow can draft fixes automatically, but the live agent is not changed until you approve deployment.
FAQ
How does Agent Builder work?
Airtop Agent Builder lets you describe an automation in plain words, then compiles and tests it into reusable code. The site shows examples such as logging into sites, extracting data, scheduling runs, and repairing broken runs with a drafted fix.
What kinds of workflows is it best suited for?
The product is built for automations that need to interact with real websites and logged-in workflows, not just simple API calls. Airtop’s pages emphasize use cases such as scraping, form filling, lead enrichment, support reporting, and monitoring web portals.
What outputs can an agent produce?
The templates show outputs including Google Docs reports, Google Sheets-style datasets, Slack notifications, and direct run logs or video traces. The output depends on how the agent is configured and which template or workflow you start from.
Can teams run multiple agents at once?
Airtop says agents can run on schedules, on triggers, or on demand. The pricing page also shows plan limits tied to credits, simultaneous sessions, and deployed agents, so team usage depends on the plan you choose.
Which integrations are supported?
The source shows Airtop integrates with web destinations and several workflow targets in templates, including Google Docs, Google Sheets, Slack, Notion, and Confluence. Specific connector coverage beyond these examples is not fully documented on the provided pages.
Quick Facts
- Category
- AI web automation / agent builder
- Platform
- Cloud-based web agents
- Primary users
- Teams and individuals building browser workflows
- Source domain
- airtop.ai
- Pricing
- Free and paid plans are listed, starting with a free tier and paid plans on the pricing page
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