
Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Humanloop
Braintrust.dev
Openlayer
GetsFlow
AI-workflows.io
Flow.ai
Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data. By integrating seamlessly into existing workflows, Langfuse streamlines the process of monitoring, debugging, and optimizing LLM applications. Our platform's robust documentation and active community support make it easy for developers to leverage Langfuse for enhancing their LLM projects efficiently. Whether you're troubleshooting interactions or iterating on new features, Langfuse is committed to simplifying your LLM development journey.
GetsFlow is an AI Business Operating System built in Ankara, Turkey, designed to help companies turn complex business processes into custom software through conversation.
At the core of GetsFlow is Tessera AI, our AI Business Architect. Instead of forcing companies to adapt their workflows to rigid, one-size-fits-all ERP software, Tessera adapts the software to the company.
A business can describe its operations, requirements, roles, workflows, and problems through a guided conversation. Tessera then discovers the underlying business processes and builds the required software around them โ including modules, dashboards, forms, workflows, data structures, and AI-powered capabilities.
What makes Tessera different is the engineering layer behind the experience. Our 2-step human-in-the-loop discovery process helps ensure that AI understands the business before generating the system. Generated applications run through a restricted browser-side TSX sandbox, allowing custom interfaces and business logic to be compiled safely without exposing the underlying environment.
Tessera also includes an autonomous self-healing loop designed to detect and correct code-generation drift, allowing generated applications to continuously recover from implementation errors instead of requiring developers to manually fix every issue.
GetsFlow is already backed by a high-security defense industry client, where reliability, security, and complex workflows are not theoretical requirements โ they are real production constraints.
We are completely bootstrapped and building GetsFlow for companies that need software tailored to the way they actually operate.
Our vision is simple: stop forcing businesses to fit their processes into software. Let AI build the software around the business.
Langfuse
GetsFlowNo features have been listed yet.
No GetsFlow videos yet. You could help us improve this page by suggesting one.
GetsFlow's answer:
GetsFlow's answer:
GetsFlow is built with Next.js, React, TypeScript, and Supabase, with Tessera AI powering conversational business discovery and dynamic TSX application generation. The platform also uses sandboxed browser-side compilation and autonomous code validation and self-healing mechanisms.
GetsFlow's answer:
GetsFlow was born from a simple observation: businesses are often forced to change their processes to fit rigid software. We wanted to reverse that relationship. Built and bootstrapped in Ankara, Turkey, GetsFlow evolved into an AI Business Operating System powered by Tessera AI, enabling companies to explain how they operate and have their own software built around those processes.
GetsFlow's answer:
Our primary audience is mid-sized and enterprise companies with complex, industry-specific workflows that are difficult to manage with generic ERP or SaaS products. GetsFlow is especially suited for manufacturing, heavy industry, defense, and other organizations that need highly customized and reliable business software.
GetsFlow's answer:
GetsFlow replaces the traditional approach of adapting a business to software. With Tessera AI, companies can describe their processes in natural language and have a custom business system built around their needs. It combines AI-driven discovery, TSX application generation, secure sandbox execution, and autonomous self-healing into one platform.
GetsFlow's answer:
GetsFlow is an AI Business Operating System that builds custom enterprise software around how a company actually works. Its core engine, Tessera AI, discovers business processes through conversation and then generates the required modules, workflows, dashboards, and applications instead of forcing businesses into rigid ERP templates.
Based on our record, Langfuse seems to be more popular. It has been mentiond 29 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Langfuse and LangSmith exist for this. Use them. The 30 minutes you spend setting up observability saves you the 87 hours you'd spend debugging blind. - Source: dev.to / 3 days ago
In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse โ step by step. - Source: dev.to / about 1 month ago
Langfuse is the open-source standard for LLM observability. It traces every LLM interaction โ prompts, completions, latency, token usage, cost โ and provides the tooling to debug, evaluate, and optimize LLM applications in production. Think of it as "Datadog for LLM calls" with a focus on prompt engineering workflows. - Source: dev.to / about 2 months ago
You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag. - Source: dev.to / 2 months ago
Gateway or proxy attribution. A reverse proxy in front of the model-provider API records the request, computes the cost, and exposes per-customer breakdowns. Open-source options include Helicone, LiteLLM, Langfuse, and OpenLLMetry. Hosted equivalents serve as the AI cost observability layer for teams that want centralized visibility: LangSmith, Datadog LLM Observability, Arize Phoenix. Adds a network hop.... - Source: dev.to / 2 months ago
Helicone AI - Open-source LLM Observability for Developers
AI-workflows.io - The no-code AI workflow builder. Drag, drop, and deploy autonomous AI agents. Early access now open.
LangSmith - Build and deploy LLM applications with confidence
Flow.ai - Flow.ai is a professional software platform for creating conversational UIs, AI assistants and chatbots.
LangChain - Framework for building applications with LLMs through composability
PromptLayer - The first platform built for prompt engineers