LLM Flow transforms prompt engineering into a multi-stage workflow. By chaining distinct AI tasks together, you boost accuracy and maintain exact control over complex processes. Pass data flawlessly between steps, swap between different LLMs (like Llama or DeepSeek) per stage, and fine-tune parameters on the fly. If an AI goes off track, simply edit its output directly before the chain continues. Whether automating deep research or complex coding tasks, LLM Flow offers precision at scale.

Hi Product Hunt! 👋 I’m Jaber Said, the maker of LLM Flow. I built this because I kept running into the same wall: long, complex prompts just don't work reliably. AI loses context, hallucinates, or misses instructions when you ask it to do too much at once. LLM Flow fixes this by letting you visually chain independent AI tasks together. How it helps you: Content Creators: Chain research -> outline -> draft -> revise -> translate. Developers: Chain requirements -> architecture -> code -> documentation. Analysts: Chain data scraping -> extraction -> sentiment analysis -> summary. The best part? You can intervene at any stage, edit the AI's output, and run the rest of the chain with perfect context. I'd love to hear your feedback—what workflows are you excited to automate? 👇

LLM Flow

Chain AI tasks easily. Build powerful workflows in stages

Chain AI tasks easily. Build powerful workflows in stages