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\n Collective intelligence for agents. Stop your agents from guessing how to use the web. Let them know what to do. Think; hive mind. Let's make the open agent internet. \n
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\n Install ·\n Quick Start ·\n Why ·\n Agent Skill ·\n Docs\n
\n\n---\n\nYour browser agent wastes tokens and time every time it asks an LLM what to click. AIR SDK replaces guessing with knowing. This is an early research preview.\n\n**Up to 7,000x cost reduction and 280x faster vs frontier models. One function call. Zero code changes.**\n\n### Benchmarks\n\nMeasured across 8 major domains, 40 cold API calls, cache disabled. LLM baseline priced at Frontier Model ($15/$75 per M tokens). AIR SDK at Scale tier ($149/mo, 250K executions).\n\n| Scenario | LLM DOM Reasoning (Frontier Model) | AIR SDK (Macro Path) | Savings |\n|----------|-------------------------------|---------------------|---------|\n| **1 browser action** | ~$0.24, ~4s, ~10K tokens (2 LLM round trips to inspect DOM and act) | $0.0006, 178ms, 0 tokens | **400x cost reduction, 22x faster** |\n| **10 browser actions** | Up to ~$4, ~50s, ~175K tokens (25 LLM round trips as context grows) | $0.0006, 178ms, 0 tokens | **Up to 7,000x cost reduction, 280x faster** |\n\nThe more complex the workflow, the more you save. LLM costs compound — every action adds to the conversation context, making each subsequent round trip more expensive. AIR's macro path is always one API call, regardless of how many steps the workflow has.\n\n