nowfound

AI · March 2, 2026

LLM Flow

Chain AI tasks easily. Build powerful workflows in stages

LLM Flow launched on March 2, 2026 with 4 votes, #2,516 of 23,380 launches that month and more than 75% of that year's launches.

What it does

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.

LLM Flow is a free AI workflow builder. Chain multi-stage LLM tasks, edit outputs, pass context between stages, and automate complex AI pipelines from your browser., and automate complex tasks with full control over models, personas, and context. LLM Flow is a modern AI workflow builder that helps you solve complex tasks step by step instead of relying on one giant prompt. Build multi-stage pipeli

Does a similar job

all alternatives →
  • LLM Gateway2025 · llmgateway.io · ▲296

    I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks /v1/chat/completions. Single Go binary, one YAML config file, no infrastructure. It does the things you'd expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover. The part I think is most…

  • LLM Flow2024 · llmflow.netlify.app · ▲8

    Build AI Flows with Drag and Drop

  • ChainForge, a visual tool for prompt engineering and LLM evaluation2023 · chainforge.ai · ▲177

    Hi HN! We’re been working hard on this low-code tool for rapid prompt discovery, robustness testing and LLM evaluation. We’ve just released documentation to help new users learn how to use it and what it can already do. Let us know what you think! :)

  • Flow – A dynamic task engine for building AI agents2024 · github.com · ▲160

    I think graph is a wrong abstraction for building AI agents. Just look at how incredibly hard it is to make routing using LangGraph - conditional edges are a mess. I built Laminar Flow to solve a common frustration with traditional workflow engines - the rigid need to predefine all node connections. Instead of static DAGs, Flow uses a dynamic task queue system that lets workflows evolve at runtime. Flow is built on 3 core principles: * Concurrent Execution - Tasks run in parallel automatically * Dynamic Scheduling - Tasks can schedule new tasks at runtime * Smart Dependencies - Tasks can…

  • Improve LLM Performance by Maximizing Iterative Development2024 · github.com · ▲104

    I have been working in AI space for a while now, first at FAANG with ML since 2021, then with LLM in start-ups since early 2023. I think LLM Application development is extremely iterative, more so than any other types of development. This is because to improve an LLM application performance (accuracy, hallucinations, latency, cost), you need to try various combinations of LLM models, prompt templates (e.g., few-shot, chain-of-thought), prompt context with different RAG architecture, different agent architecture, and more. There are thousands of possible combinations and you need a process…

  • Prompt Engine – Auto pick LLMs based on your prompts2024 · jigsawstack.com · ▲93

    Nowadays, a common AI tech stack has hundreds of different prompts running across different LLMs. Three key problems: - Choices, picking from 100s of LLMs the best LLM for that 1 prompt is gonna be challenging, you're probably not picking the most optimized LLM for a prompt you wrote. - Scaling/Upgrading, similar to choices but you want to keep consistency of your output even when models depreciate or configurations change. - Prompt management is scary, if something works, you'll never want to touch it but you should be able to without fear of everything breaking. So we launched Prompt…

More ai this month

the category →
  • Video model that turns script into viral social media videos

    AI · 18d ago · spira.ai

  • The browser where Claude Code and Codex work beside you

    AI · 18d ago · rill.love

  • Kolibri is Aleph Alpha

    AI · 20d ago · tej.as

  • Paintings by AI models: programs run through a simulation of oil paint.

    AI · 21d ago · stillwet.art

  • A real-time world model you can explore and change

    AI · 30d ago · world.pixverse.video

  • Beam.win▲378

    Run AI agents on one Mac and use its windows on another

    AI · 4d ago · beam.win

Source: Product Hunt launch ↗

Launched alongside, March 2026

the whole month →
  • AI-native CRM that builds itself and does work for you

    AI · Mar 2026 · lightfield.app

  • Tobira.ai▲728

    A network where AI agents find deals for their humans

    AI · Mar 2026 · tobira.ai

  • Switch from ChatGPT to Claude with import memory feature

    AI · Mar 2026 · claude.com

  • Littlebird remembers everything across your meetings, messages, docs, and apps, then takes action so you can recall any detail and never lose context.

    AI · Mar 2026 · littlebird.ai

  • Your AI Coworker that proactively executes tasks

    AI · Mar 2026 · viktor.com

  • Jupid▲659

    File your taxes with Claude Code

    Commerce · Mar 2026 · jupid.com