TL;DR : Stagehand is great for one-shot AI browser tasks. The problem is when you need to run the same task daily — its per-run cost is linear, and its output varies between runs by design. Tap compiles your AI understanding into a deterministic JS program once , then replays at zero LLM tokens forever. The architectural axis Two ways to put an AI in your browser automation: Interpreter (Stagehand, browser-use, etc.): an LLM reads the page and reacts at runtime. page.act("click the login button") . Same script, slightly different result each run. Compiler (Tap): an LLM inspects the page once , emits a deterministic JS plan, then exits. Subsequent runs replay the plan. Zero LLM calls. Same input → same output. Stagehand Tap LLM calls per run every step 0 (after compile) Cost per run $0.50–$2.00 $0 Consistency 60–95% 100% deterministic Execution speed seconds–minutes <1s Offline capable no yes When the architecture matters At 5 runs/day, the cost difference is rounding error.…