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Pregled za Element to LLM

Element to LLM Autor: insitu.im

Give AI eyes. One click captures live UI state — Claude, GPT, Gemini act on what they actually see.

5 (3 recenzije)5 (3 recenzije)
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Metapodaci proširenja

Snimke ekrana
Stop describing your screen. Let AI see it. > One click captures the entire UI state, turning complex visual layouts into perfect semantic context for your AI assistant.AI that reads your screen — not your mind.
Transform overwhelming inboxes or complex dashboards into actionable tasks. E2LLM gives your LLM "eyes" to see exactly what you’re working on.Structured. Semantic. Actionable. Don't waste tokens on 2MB of raw HTML. E2LLM produces a lightweight, 2KB SiFR snapshot that AI agents can actually understand and navigate.The ultimate context layer for AI Agents. Better compression than raw HTML and 0 system prompt overhead. Built for high-performance debugging and agentic automation.hat happens in your browser, stays in your browser. E2LLM captures DOM structure locally. No cloud sync, no tracking, and no data leaves your device. Secure, auditable, and open-source.
Informacije o ovom proširenju
Element to LLM — AI Agent Perception Layer

Your AI agent is blind.
It guesses from screenshots. Drowns in raw HTML.
Misses what users actually see.

Element to LLM fixes this.

One click. Your browser's live UI state — structured,
semantic, token-efficient — delivered to any LLM.
Claude, GPT, Gemini, Llama. Your choice.

Now your AI agent doesn't guess. It sees.

━━━━━━━━━━━━━━━━━━━━━━

🤖 Built for AI Agents

The era of AI agents is here.
Agents that fill forms, navigate apps, debug interfaces,
automate workflows — they all need one thing:
accurate perception of the UI.

Element to LLM is that perception layer.

Not screenshots (no element IDs, burns tokens).
Not raw HTML (2.3MB of noise).
Not accessibility trees (miss visual context).

SiFR v2 — structured, semantic, actionable:
→ Every element labeled and scored by importance
→ Actions tagged: [clickable] [fillable] [hoverable]
→ Spatial relationships mapped
→ Smaller than raw HTML
→ Zero system prompt overhead — live DOM is the context

Your agent stops hallucinating UI elements.
It acts on what's actually there.

━━━━━━━━━━━━━━━━━━━━━━

⚡ What changes when AI sees your screen

Before E2LLM:
"There's a button somewhere on the left, I think it says Submit..."

After E2LLM:
AI receives: btn_003 "Submit" [clickable] salience:high
position:(540,320) — stacked above input_007,
no occlusion, aria-label matches visible text.

The difference feels unfair. In a good way.

━━━━━━━━━━━━━━━━━━━━━━

🧰 Use cases

→ LLM Agents — accurate UI state for autonomous action
→ AI Debugging — root cause in seconds, not hours
→ QA Automation — capture real runtime behavior
→ RPA — eliminate brittle selectors forever
→ Design review — spec vs implementation, instantly
→ Accessibility — what assistive tech actually perceives

━━━━━━━━━━━━━━━━━━━━━━

🔒 100% Local. 100% Private.

Nothing leaves your browser. Ever.
No cloud. No servers. No tracking.
DOM stays on your machine.

This is the rare AI tool that works
without touching your data.

━━━━━━━━━━━━━━━━━━━━━━

🚀 v2.8.0 — Persistent Captures

Save captures to disk as JSON files.
Diff workflows. Audit trails. Repeatable pipelines.
Toggle Clipboard / File mode — existing workflows unaffected.

━━━━━━━━━━━━━━━━━━━━━━

Works with Claude · ChatGPT · Gemini · Grok · Llama
Chrome · Firefox · Arc · Brave · Edge

Install. One click. Your AI finally sees.
Komentari razvijatelja
Captures runtime DOM → JSON snapshots for debugging, QA, and UI/UX design.
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prije 20 dana (12. ožu. 2026)
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