Hi!
I ve been exploring Airtop and I see huge potential for task automation using AI agents especially for repetitive workflows like form filling or actions in systems without an API.
One thing I noticed is that each time the agent performs the same action (like registering multiple people), it reprocesses the task from scratch, consuming credits for each new step, even though the logic is exactly the same.
My suggestion:
Airtop
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 airtop.ai/agent-builder
🎟️ Code AGENTSTARTERPH gets you 1 free month of Airtop’s Starter plan.
We’re here all day. Ask us anything!
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@amir_ashkenazi 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?
Airtop
The 100x efficiency claim caught my attention. Is that mainly because the generated automation uses fewer LLM calls?
Airtop
@lucy_rolff 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.
Spiritory
Nice! I have been supporting your team since Switchboard. This is a really cool addition to my workflow. Congratulations!
Equitybee
Airtop
@guy_elbaz1 Thanks, Guy!
Floqer
Lancepilot