Frequently Asked Questions

No RL4 backend is involved. RL4 Snapshot runs locally in your browser. On supported sites (ChatGPT/Claude/Gemini/Perplexity/Copilot), it reads the conversation you're viewing and, when needed, the provider's own first‑party conversation responses (via the page's fetch/XHR) to reconstruct the thread. It does not upload your chats to RL4 servers.

No account, no login. Install the extension, click "Snapshot", copy the block. That's it.

You don't have to replace your system. Snapshot simply compresses a long LLM thread into a clean, portable block so you can paste it into your existing notes or straight into another model, without manually curating and copy‑pasting every time.

No. RL4 Snapshot doesn't give you infinite, lossless memory. It makes it easier to save a point‑in‑time snapshot of your reasoning and reuse it in other chats or tools, instead of starting from scratch.

Nothing breaks. Your chats and notes still work. Snapshot is an accelerator on top of what you already do, not a new system that locks you in.

Yes. You can keep your macros, saved prompts, and summary flows. Snapshot just gives you one extra primitive: a sealed, portable context block that's easy to copy‑paste into whatever you already use.

People who regularly: - Switch between ChatGPT / Claude / Gemini on the same project - Work in long threads that slowly "die" or lose coherence - Already summarize or copy‑paste context manually and feel the pain in time and focus If that's not you yet, you might not need Snapshot right now—and that's fine.

No. RL4 Snapshot only operates on supported sites and only on the tab you’re using it on. It doesn’t crawl Outlook, Gmail, Drive, or your file system in the background. If a page isn’t open in your browser (and isn’t a supported site), RL4 Snapshot doesn’t touch it.

Each permission maps to a user action: activeTab lets Snapshot read the current tab when you click the button; clipboardWrite lets you copy the generated package; storage supports saving snapshots locally; sidePanel powers the RL4 panel UI. Host permissions are restricted to supported LLM sites so the extension can work where you use it.

Your snapshots are stored locally on your machine (IndexedDB + chrome.storage.local). You can delete them by using the in‑extension clear/delete controls (if available), clearing the extension’s data in Chrome, or uninstalling the extension. Nothing requires an RL4 account to delete your local data.

RL4 Snapshot is built for popular web LLM UIs (ChatGPT, Claude, Gemini, Perplexity, Copilot). If a provider changes their UI/API, capture may temporarily degrade until we update the extension.

Sometimes, yes. Some LLM UIs virtualize or lazy‑load message history. If parts of the thread aren’t loaded, the snapshot may be incomplete. If something looks missing, scroll up to load more messages, then retry Snapshot.

It’s tamper‑evidence: a checksum helps detect accidental edits or changes to the package after it was generated. It does not prove identity, authorship, or that the content is “true” — it only helps you verify the block wasn’t modified.

Yes. You can re‑compute the checksum from the snapshot contents and compare it to the included value (when present). That verifies the package hasn’t been altered since it was generated on your device.

RL4 Snapshot does not require an RL4 backend. If the conversation page is already loaded, you can generate/copy packages without talking to RL4 servers. (You’ll still need the LLM site itself to be reachable to load the chat.)

First, make sure you’re on a supported LLM page and reload the tab. If copy is blocked, check clipboard permissions and try again. If the UI changed or the thread is very long, scroll to load more messages and retry Snapshot.

No. It generates a block and then leaves it alone. If your LLM suggests "let me rewrite or reformat this block for you", you should explicitly tell it: "Do not modify the package, just read and use it as context."

No. The block is primarily for the model, not for you. Snapshot shows you a human‑readable summary so you can sanity‑check what went in, but you're not expected to read every token.

RL4 Snapshot keeps your goals, constraints, key decisions, and important references. It trims repetitive wording, minor tangents, and overly verbose explanations. It does not guarantee that every detail survives—compression is explicit, not lossless.

Yes. Snapshot exposes a summary of what was captured and the approximate size reduction. The whole point is to make compression explicit, not invisible.

It works with any model that accepts text input in a chat box: ChatGPT, Claude, Gemini, Perplexity, and others. From the browser's point of view, it's just text you paste.

Snapshot is designed to run quickly on a single page at a time. It doesn't inject heavy scripts into every tab or run constantly in the background. If a page is extremely large, you may see a brief pause while the snapshot is generated.

No. Even if you mostly use one model, Snapshot helps when a long thread is starting to lose coherence or hit token limits. You can snapshot, restart a fresh chat with the same model, and avoid re‑explaining everything.

You absolutely can keep doing that. Snapshot simply turns a multi‑step routine (scroll → select → copy → paste → instruct to summarize) into a single, consistent action. It also produces a portable block you can reuse across models and tools without having to redo the process each time.

Then it's not for you right now—and that's okay. RL4 Snapshot is aimed at people who already feel the pain of long, multi‑step workflows around context. If your current system feels fine, you don't have to change it.

Snapshot does not sit in the middle of every request or proxy your LLM calls. It's a tool you invoke manually when you want to capture a state. The rest of the time, your LLM works exactly as before.

That depends on your company's policies. Technically, Snapshot runs locally and doesn't transmit your data to an RL4 server, but you should still follow your organization's rules for browser extensions and data handling.

RL4 Snapshot stores snapshot state locally (IndexedDB + chrome.storage.local) so you can reuse and manage it. It is designed to work without sending chat content to RL4 servers. If we ever add optional telemetry or cloud features, they will be opt‑in and clearly documented.

No. Snapshot helps with context portability and continuity, not with model quality. It makes it easier to carry over what you already know is important; it doesn't change how the underlying model reasons.

Then Snapshot may not be the right tool for that particular job. It is intentionally lossy: it aims to capture the most useful parts of a long interaction, not every single token. If you need a complete, verbatim archive, you should keep your raw logs or notes alongside the snapshot.