Agent Builder by Airtop - Build agents that heal themselves.

by
Describe any workflow in plain English. Agent Builder compiles it into a coded automation that runs like software. When a run breaks, Airtop automatically investigates, rebuilds the step, and verifies the fix on a real test run. Airtop Agents run securely in the cloud and are up to 100x more efficient than traditional LLM-per-step AI Agents.

Add a comment

Replies

Best

Every CEO I talk to is trying to shrink their AI token bill.

AI agents are expensive (and slow) because they re-reason every step, on every run. So we created Agent Builder, which compiles automations into efficient, reusable code.

We gave the same multi-step task to a traditional LLM agent (Claude Code on Opus 4.7) and an agent compiled with Agent Builder. Here are the results:

👉 LLM agent: 7m 58s, $6.26 per run

👉 Airtop agent (compiled): 1m 21s, $0.063 per run

6x faster at ~1% of the cost. Same results, fewer tokens burned.

Agent Builder does the thinking once, at build time, instead of every time the agent runs.

To use Agent Builder, just describe any workflow in plain English. It builds the automation, tests it, and compiles it into deterministic code that runs like software. Agent Builder works with any API or website, and connects natively to integrations like Slack and Google Sheets.

Just like software, compiled agents can break. Especially if you’re running a web automation on a website that changes.

So we taught Airtop agents to heal themselves. 

🧠 If a run fails → Airtop notifies you and diagnoses what broke

⚙️ Airtop automatically builds a fix for the agent and verifies the fix with real test runs

✅ Airtop sends you a repair draft so you can check it before deploying

Who’s it for? Founders and ops, marketing, sales, and finance teams that want to automate repeatable work without spending a fortune on AI tokens.

🔗 Try it free at  

🎟️ Code AGENTSTARTERPH gets you 1 free month of Airtop’s Starter plan. 

We’re here all day. Ask us anything!

 Handling the behind-the-login stuff without having to babysit custom Playwright scripts is huge, congrats on the launch!

How does Airtop handle a website change that completely breaks the original workflow?

If the workflow breaks due to a website change, Airtop will investigate and diagnose the cause of the failure. The Agent Builder will modify the automation to work with the latest live version of the website, and then verify the fix works with a real-time test run. If the page changes in a catastrophic way (i.e. desired content was removed from the page altogether), the Agent Builder may prompt the user for guidance, but otherwise it will attempt to resolve the workflow on its own.

The 100x efficiency claim caught my attention. Is that mainly because the generated automation uses fewer LLM calls?

 Yep, that's the gist of it! Agent Builder does the LLM reasoning once, at build time. Then the compiled agent uses way fewer LLM calls because most of the automation runs as deterministic code (the agent already knows how to run the automation), though LLM calls may still be used as needed. Building a complex agent might still take quite a few tokens, but once the agent is built it can run indefinitely up to 100x more efficiently than the initial build or relying only on LLM calls.

Great job with it!

 Thanks, Guy!

Congrats on the launch!
Congratulations another awesome product from your team Agrnt Builder is a huge leap in efficiency. I like how it shifts the "thinking" to build time so teams can just run the workflow. Great work!

Nice! I have been supporting your team since Switchboard. This is a really cool addition to my workflow. Congratulations!

self healing agents is the part everyone skips 👏 web automation breaks constantly. congrats on the launch!

Being able to work with websites without needing an API is pretty useful. I can see this helping with some of those annoying repetitive browser tasks.

 Thanks Christian 🫡

I appreciate that the agent verifies its own fixes with a real test run. That extra validation makes the self healing approach feel much more practical.

 We think so too :D