1. Three Workflow Bottlenecks This Part Solves
Sending a prompt forces you to wait before queuing follow-up instructions. Prompt Queue enables continuous batching.
Trying alternative prompt directions can ruin a working thread. Forking creates non-destructive branch points.
Cloud quota caps block development mid-day. Fallback Chains auto-switch providers instantly.
2. Prompt Queue — Your Assembly Line
While an active generation is running, type your next instruction into the composer input. The main action button shifts to an indigo Queue Response button.
- Isolated Staged Assets: Each queued prompt preserves its own attached files, screenshots, or CSVs independently.
- Reorder & Delete: Drag queued cards to adjust execution order or click trash to remove.
- Pause Queue: Complete current active turn and temporarily halt remaining queued tasks.
- Queue Backoff Interval: Configure a 0–60 second delay in Settings → AI Engine to pace execution and prevent rate limits.
- Last Failed Recovery: Failed queued tasks are moved to a recovery drawer for instant 1-click retry.
3. Forking / Branching — Never Lose a Good Version
Hover under any user or assistant message and click Fork (GitBranch icon).
Non-Destructive Branching: Creates a new chat thread containing history up to that exact fork point while preserving your original chat intact.
Comparison Workflows: Fork a prompt 3 times to test different design directives (e.g. Minimal vs Brutalist vs Glassmorphic) or compare multiple LLM models side by side.
4. Fallback Chains — Never Get Blocked by 429 Again
Configure automated failover mechanisms in Model Organizer under LLM Fallback Chains & Resiliency:
- Auto-Chain All: Automatically links all equipped cloud, Puter.js, and offline local models into a failover mesh with 1 click.
- Sequential Execution: If Primary (e.g., Gemini 3.6 Flash) hits a 429 quota error, Accelerated Logic AI displays an amber notification banner and instantly routes to Fallback 1 (e.g., DeepSeek V4) then Fallback 2 (e.g., WebLLM offline).
- Puter Sign-In Safety: If a Puter model requires re-authentication, the app triggers an interactive auth popup rather than skipping silently to the next fallback.
5. Putting All Three Together — A Real Workflow
- Equip Gemini 3.5 Flash, DeepSeek V4, and WebLLM 3B. Click Auto-Chain All.
- Create a Folder (e.g., Client Landing Pages) with Folder Memory:
React + Tailwind + lucide-react. - Stage
client1.pdf+ prompt "Build landing page for Client 1" → click Queue Response. - Stage
client2.png+ prompt "Build landing page for Client 2" → click Queue Response. - Walk away while Accelerated Logic AI executes all jobs sequentially with resilient rate-limit failover.