Agent Builder by Airtop

• Механизм самовосстановления может не срабатывать в сложных пограничных случаях, что подорвёт доверие к продукту.
• Высокая зависимость от сторонних LLM‑моделей создаёт риски изменения цен, доступа и качества базовой ИИ‑модели.
• Облачное исполнение может вызывать опасения по поводу безопасности данных и соответствия регулятивным требованиям в некоторых отраслях.

“ 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! ”