Programs Beat Prompts: Tap Turns AI Into a Compiler for Interface Automation
<h2> The Problem </h2> <p>AI agents operate interfaces at $0.10/call, 2-5s latency. Every. Single. Time.</p> <h2> The Insight </h2> <p>Operating an interface is a <strong>solved problem the moment you figure out how.</strong> AI understands the page once. Execution doesn't need AI.</p> <h2> Tap: Forge Once, Run Forever </h2> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code>forge_inspect → forge_verify → forge_save → tap.run AI analyzes AI tests AI saves $0 forever </code></pre> </div> <p>8 core operations + 17 built-in. 3 runtimes (Chrome, Playwright, macOS). Unix pipes:<br> </p> <div class="highlight js-code-highlight"> <pre class="highlight shell"><code>tap github trending | tap tap/filter <span class="nt">--field</span> stars <span class="nt">--gt</span>
The Problem
AI agents operate interfaces at $0.10/call, 2-5s latency. Every. Single. Time.
The Insight
Operating an interface is a solved problem the moment you figure out how. AI understands the page once. Execution doesn't need AI.
Tap: Forge Once, Run Forever
forge_inspect → forge_verify → forge_save → tap.run AI analyzes AI tests AI saves $0 foreverforge_inspect → forge_verify → forge_save → tap.run AI analyzes AI tests AI saves $0 foreverEnter fullscreen mode
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8 core operations + 17 built-in. 3 runtimes (Chrome, Playwright, macOS). Unix pipes:
tap github trending | tap tap/filter --field stars --gt 1000 tap watch github trending --every 5mtap github trending | tap tap/filter --field stars --gt 1000 tap watch github trending --every 5mEnter fullscreen mode
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106 skills across 50+ sites. Self-healing via tap doctor. Sandbox + CI security.
199 constraint tests define the product — no spec docs, code is the spec.
GitHub: https://github.com/LeonTing1010/tap
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