Part 1: Getting Started with Accelerated Logic AI | Accelerated Logic AI Documentation

1. What is Accelerated Logic AI, actually?

Most AI chats lock you into one model and store everything on their cloud. Accelerated Logic AI is the opposite:

🔒 Local-first

Your chat history, files, skills, and memories live in your browser's IndexedDB and localStorage. Nothing leaves your device unless you explicitly connect Google Drive, GitHub, or a cloud AI provider.

⚡ Any Model

Free Puter.js proxy for quick start, direct Gemini / OpenAI / Anthropic keys, local Ollama, or 100% offline WebGPU models running in your RAM. You can equip 10+ models and hot-swap in one click mid-conversation.

🤖 Multi-agent + Sandboxes

Instead of one model guessing, you can spin up a team — Architect, Coder, Auditor, Checker — that collaborate, then render the result live in a Web Sandbox and execute Python right in the browser via WASM.

You don't need to learn all that on day one. This guide just gets you comfortable moving around.

2. The 4 Areas of the Workspace

A. Left Sidebar — Your Library

This is your file cabinet. It collapses on mobile for maximum writing space.

Search bar at top: Searches both chat titles AND inside all messages. Try typing python sorting to find past conversations instantly.
AI Platform section:
- Memory: Your long-term facts. Click it to inspect what the AI remembers about you.
- Skills: Your custom instructions. Shows active skills.
Chats section:
- Top actions: Folder+ icon creates a new folder. + icon starts a New Chat.
- Pinned Chats: Any chat you pin appears here first, always on top.
- Folders: Click a folder name to expand or collapse. The number badge shows chat count. If it has a brain icon, that folder has its own Folder Memory — custom instructions applied only to chats inside it.
- Other / All Chats: Uncategorized chats. Drag any chat card onto a folder to move it, or drop onto "Other Chats" header to un-folder it.
- Actions & Quick Rename: Hovering a chat card reveals Rename, Pin/Unpin, Export Markdown, and Delete. Double-click any chat name to rename inline.
Files section: Every file you upload lives here. Images show an image icon, documents show a file icon. Drag a file directly onto the composer to stage it for one prompt. Click the Bookmark icon to Pin as persistent context — attaching that file to every future prompt in that chat.
Experimental section: Model Playground (test models side-by-side), Python Sandbox, Web Sandbox, Browser Agent Sync (shows green dot when active), and GitHub Integration.

B. Top Header — Controls

Logo click: Navigate home to the main landing page.
Collapse arrow: Hide the left sidebar to maximize editing workspace.
Model Dropdown: Displays your active model (e.g. DeepSeek V4 Flash). Click to hot-swap equipped models mid-conversation or open Model Organizer.
Settings, Model Organizer, Memory & Drive status: Drive shows Syncing... / Saved / Error and connection state. All configuration resides cleanly inside the settings modal.

C. Center Chat Canvas

User prompts appear on the right, assistant responses on the left.

Rich Assistant Features: Image previews, collapsible Detailed Thinking Process / Model Thinking Trace (click to audit reasoning), and clean markdown with 1-click code block copying.
Action Bar Below Messages: Regenerate (re-run answer), Model Switcher (run that prompt with a different model), Read Aloud (TTS audio with soundwave animation), Copy, Delete, Fork (branch conversation from that message), and live TPS (Tokens/Sec) + Context % badges.

D. Bottom Composer — Where You Type

Plus icon (+): Upload files via picker (supports text, images, PDFs, videos, and ZIP archives which auto-extract).
/ Slash Command: Type / to open the skill & persona selector. Filter skills (e.g. /code-review) and press Enter to toggle. Equipped skills appear as active chips above the composer.
Microphone: Real-time voice dictation transcribed directly into the input.
Wand (Enhance Prompt): Transforms brief inputs (e.g. "landing page") into structured, detailed prompts automatically.
Send / Stop / Queue Response: Send transforms into a Stop square during generation + a Queue Response button to stack follow-up prompts.
Global Drag & Drop: Drag any file from your computer anywhere over the app window to stage it for your message.

3. Your First 5 Minutes — Do This Now

Step 1

Launch and create a chat

Click New Chat in the sidebar. The title starts as "New Chat" and auto-updates based on your first prompt.

Step 2

Send something simple

Type: Explain how useState works in React with a simple counter example. Observe streaming text and header trace logs.

Step 3

Try message tools

Hover under your prompt: Click Edit and change to Now do it with TypeScript and Tailwind styled button. Notice it re-runs. Under assistant message, try Read Aloud or Regenerate.

Step 4

Upload & Pin context

Drag a code file into composer and send Review this file for bugs. In sidebar Files, click its Bookmark icon to Pin it as persistent context for all future prompts in this chat.

Step 5

Organize with Folder Memory

Click Folder+ -> Name: React Learning, set Folder Memory: Always explain with TypeScript examples and include accessibility notes. Drag your chat inside.

4. How Your Data Actually Works (Important)

Local-First Privacy: Everything is stored locally by default. Clearing browser cache clears history unless exported. Use Export Markdown for backups.
Google Drive Integration: Opt-in cloud sync uses Google's isolated AppData folder. It remains hidden from standard Drive view and sandboxed for Accelerated Logic. You can select individual sync toggles in Settings -> Google Drive.
Context Isolation: AI models only receive files staged in the composer or pinned to the current chat. Memories are injected dynamically only when relevant.

5. Prompting Tips That Actually Matter Here

Be Specific About Stack

Use explicit instructions like Use React + Tailwind, no external deps rather than vague requests like "build app".

Trigger Web Preview Sandbox

Include phrases like Generate and preview in canvas to trigger interactive live sandbox rendering.

Trigger Python Execution

For math, data analysis, or algorithms, ask to Calculate and verify with python to execute code via in-browser WASM Python sandbox.

Image Generation Syntax

End prompt with explicit request like Generate an image of... to trigger visual generation tools.

6. When You Get Stuck

Header shows "Select AI" / No model active?

Click the model dropdown or open Model Organizer to select or equip a model (such as free Puter.js models).

Ollama shows disconnected error?

Ensure Ollama is running with CORS allowed. Run OLLAMA_ORIGINS="*" ollama serve in terminal.

Microphone / Speech blocked?

Inside sandboxed iframe previews, browser security restricts media APIs. Click Open in New Tab in the top-right header to grant permissions.

Chat response slowing down?

Check the Context % badge in the assistant response bar. If >90%, start a New Chat to clear token overhead.