Best AI tools for< Collecting Feedback >

Feedbuck AI is an AI-powered user feedback collection tool that helps businesses collect feedback from their users quickly and easily. It uses AI to automatically generate feedback questions based on your website and objectives, and it provides straightforward summaries with clear results. Feedbuck AI is easy to use and integrates with a variety of platforms, making it a great choice for businesses of all sizes.

Zonka Feedback is a powerful Customer Feedback and Survey Platform that offers User Segmentation for precise targeting, AI capabilities for smarter surveys, and a wide range of features to measure and improve Customer Experience. It provides solutions for various industries and use cases, integrates with popular tools, and offers in-depth reporting and analytics. Zonka Feedback is known for its modern-looking surveys, ease of use, and extensive integrations, making it a versatile tool for collecting feedback from customers, users, visitors, patients, and employees.

Rargus is a generative AI tool that specializes in turning customer feedback into actionable insights for businesses. By collecting feedback from various channels and utilizing custom AI analysis, Rargus helps businesses understand customer needs and improve product development. The tool enables users to compile and analyze feedback efficiently, leading to data-driven decision-making and successful product launches. Rargus also offers solutions for consumer insights, product management, and product marketing, helping businesses enhance customer satisfaction and drive growth.

Paradox is a conversational hiring software that automates repetitive tasks and improves the candidate experience. It offers a range of features such as conversational ATS, career sites, CX, capture, scheduling, events, and assessments. Paradox integrates with leading HCM systems like Workday, SAP SuccessFactors, and Indeed. It is used by various industries including retail, restaurant, healthcare, logistics, financial services, and hospitality.

YOMO is an AI-powered platform designed to help product teams build products that boost revenue and reduce churn. It offers a suite of tools for collecting feedback, conducting research, collaborating, and organizing information. YOMO leverages AI to provide automated insights, prioritize feedback, and uncover user needs and desires. The platform aims to streamline product development processes and empower teams to make data-driven decisions.

Sprig is an all-in-one product experience platform that leverages AI technology to provide actionable insights and recommendations for optimizing user experiences. It offers features such as Replays for capturing user behavior, Heatmaps for visualizing interactions, Surveys for collecting feedback, AI Explorer for holistic AI insights, and AI Recommendations for generating product solutions. Sprig helps product managers, user researchers, customer experience teams, and engineers to continuously improve their products by understanding user behavior, identifying pain points, and enhancing conversion rates.

CourseFactory AI is an online platform that leverages artificial intelligence to assist users in creating high-quality online courses efficiently. The platform offers a range of AI assistants to help with course creation, from generating ideas and organizing content to collecting feedback and continuously improving the course structure. CourseFactory AI aims to streamline the course creation process, save time, and enhance the learning experience for both creators and students.

Support AI is a custom AI chatbot application powered by ChatGPT that allows website owners to create personalized chatbots to provide instant answers to customers, capture leads, and enhance customer support. With Support AI, users can easily integrate AI chatbots on their websites, train them with specific content, and customize their behavior and responses. The application offers features such as capturing leads, providing accurate answers, handling bookings, collecting feedback, and offering product recommendations. Users can choose from different pricing plans based on their message volume and training content needs.

ProProfs is a user research and customer feedback software that offers a comprehensive suite of tools for collecting real-time insights from website visitors and app users. With features like AI sentiment analysis, question branching, branding customization, advanced user targeting, and nudge for prototype, ProProfs empowers businesses to gather valuable feedback to enhance user experience, product functionality, and customer satisfaction. The application is designed to help businesses improve website leads, iOS & Android app feedback, NPS, customer experience management, ecommerce conversion, SaaS conversions, and marketing performance. ProProfs is known for its AI-powered analytics and reports, user-friendly interface, and exceptional customer support.

WriteMyPrd is an AI tool designed to make writing Product Requirements Documents (PRDs) easier and faster. It utilizes ChatGPT Olvy 3.0 to speed up feedback analysis by 10x, helping users get started with writing their PRDs efficiently. The tool assists in providing basic information and features a user-friendly interface for defining requirements and collecting user feedback.

WrapFast is a SwiftUI boilerplate that helps developers create AI wrappers and iOS apps quickly and easily. It provides pre-written code for common tasks such as authentication, onboarding, in-app purchases, paywalls, securing API keys, cloud database, analytics, settings, and collecting user feedback. WrapFast is designed to save developers time and effort, allowing them to focus on building their core features. It is suitable for both experienced iOS developers and beginners who are new to the platform.

Vocads is a conversational voice AI platform that reinvents the survey experience. It allows companies to collect richer data, improve their strategy, and retain clients through voice surveys. Vocads also provides employee voice surveys to engage employees, improve management, and upgrade company culture. The platform is easy to use with its no-code design, allowing users to create voice surveys from scratch instinctively and save templates for reuse. Vocads is GDPR compliant and offers data sovereignty, giving brands full control over their data.

ListenUp! is an AI-powered discovery tool designed for busy product teams to streamline the process of collecting and analyzing user feedback. The application automatically centralizes user feedback, orders it, and scales the process with AI technology. It helps product teams understand their users better, make informed decisions, and deliver more value efficiently. ListenUp! offers features such as automated feedback capture, real-time pattern suggestions, and transcribing user interviews with multiple speakers. The tool aims to enhance user understanding, improve product development, and boost team performance.

SurveyLoom is an AI-powered survey creation tool that simplifies the process of creating, distributing, and analyzing surveys. With intuitive survey building features, real-time analytics, customizable templates, and advanced AI insights, SurveyLoom offers a comprehensive solution for businesses and individuals to gather valuable feedback. The platform also provides team collaboration capabilities, dedicated support, and data security measures to ensure a seamless survey experience.

Vibeo.ai is a powerful AI-driven tool designed to help businesses collect and utilize engaging video testimonials effortlessly. It addresses the common challenges faced by businesses, such as high visitor bounce rates, inefficient ad spend, and negative reviews. By leveraging AI technology, Vibeo.ai enables users to create campaigns, prepare questions, share links with customers, and get video testimonials edited seamlessly. The tool offers both free and pro plans with various features to cater to different business needs. With Vibeo.ai, businesses can boost their credibility, increase conversions, and maximize growth opportunities.

RatingE is a revolutionary AI-powered review management platform that helps businesses enhance their online presence by automating the process of collecting, managing, and displaying customer reviews. The platform simplifies leveraging customer feedback to attract more clients and improve credibility effortlessly. With features like automated review requests, QR code requests, video testimonials, and effortless automation, RatingE aims to help businesses grow by generating positive reviews in the background. It offers benefits such as dashboard to manage all reviews, Google Business Profile optimization, video testimonials capabilities, social network sharing, and SMS/text message requests.

MindOS is an AI tool designed to streamline various aspects of business operations by offering AI agents that can be trained to handle tasks such as answering customer FAQs, scheduling appointments, collecting leads, and transitioning from AI to human support seamlessly. The platform provides a user-friendly interface for incorporating data sources, developing personalized AI agents, tailoring them to brand preferences, and integrating them into websites. MindOS stands out for its powerful features, including special avatar customization, access to various data sources, easy feedback mechanisms, prompt and precise answers, voice input, whitelabeling, multilingual support, and the latest AI models.

LoomFlows is a user feedback collection tool that allows businesses to collect high-quality feedback from their users through Loom screen recordings and annotated screenshots. It helps businesses streamline feedback collection, identify impactful opportunities, and scale faster by building the right features.

Paymefy is an AI-powered debt collection optimization tool that helps businesses recover outstanding payments faster and at a lower cost. By leveraging Artificial Intelligence, Paymefy automates the debt collection process, offers on-click payment solutions, and provides smart notification sequences to enhance customer communication. The tool enables easy customization, multi-invoice payments, installment options, and feedback collection to streamline the debt recovery process. With a focus on efficiency and cost reduction, Paymefy aims to improve debt collection outcomes and customer payment experiences.

RhetorAI is a feedback collection AI for businesses. It uses ChatGPT to interview customers and provide insights. With RhetorAI, businesses can get real feedback from their users anytime, anywhere. It's like having a 24/7 product researcher on your team.

The NVIDIA TensorRT Model Optimizer is a library designed to quantize and compress deep learning models for optimized inference on GPUs. It offers state-of-the-art model optimization techniques including quantization and sparsity to reduce inference costs for generative AI models. Users can easily stack different optimization techniques to produce quantized checkpoints from torch or ONNX models. The quantized checkpoints are ready for deployment in inference frameworks like TensorRT-LLM or TensorRT, with planned integrations for NVIDIA NeMo and Megatron-LM. The tool also supports 8-bit quantization with Stable Diffusion for enterprise users on NVIDIA NIM. Model Optimizer is available for free on NVIDIA PyPI, and this repository serves as a platform for sharing examples, GPU-optimized recipes, and collecting community feedback.

Agently is a development framework that helps developers build AI agent native application really fast. You can use and build AI agent in your code in an extremely simple way. You can create an AI agent instance then interact with it like calling a function in very few codes like this below. Click the run button below and witness the magic. It's just that simple: python # Import and Init Settings import Agently agent = Agently.create_agent() agent\ .set_settings("current_model", "OpenAI")\ .set_settings("model.OpenAI.auth", {"api_key": ""}) # Interact with the agent instance like calling a function result = agent\ .input("Give me 3 words")\ .output([("String", "one word")])\ .start() print(result) ['apple', 'banana', 'carrot'] And you may notice that when we print the value of `result`, the value is a `list` just like the format of parameter we put into the `.output()`. In Agently framework we've done a lot of work like this to make it easier for application developers to integrate Agent instances into their business code. This will allow application developers to focus on how to build their business logic instead of figure out how to cater to language models or how to keep models satisfied.

BAML is a config file format for declaring LLM functions that you can then use in TypeScript or Python. With BAML you can Classify or Extract any structured data using Anthropic, OpenAI or local models (using Ollama) ## Resources  [Discord Community](https://discord.gg/boundaryml)  [Follow us on Twitter](https://twitter.com/boundaryml) * Discord Office Hours - Come ask us anything! We hold office hours most days (9am - 12pm PST). * Documentation - Learn BAML * Documentation - BAML Syntax Reference * Documentation - Prompt engineering tips * Boundary Studio - Observability and more #### Starter projects * BAML + NextJS 14 * BAML + FastAPI + Streaming ## Motivation Calling LLMs in your code is frustrating: * your code uses types everywhere: classes, enums, and arrays * but LLMs speak English, not types BAML makes calling LLMs easy by taking a type-first approach that lives fully in your codebase: 1. Define what your LLM output type is in a .baml file, with rich syntax to describe any field (even enum values) 2. Declare your prompt in the .baml config using those types 3. Add additional LLM config like retries or redundancy 4. Transpile the .baml files to a callable Python or TS function with a type-safe interface. (VSCode extension does this for you automatically). We were inspired by similar patterns for type safety: protobuf and OpenAPI for RPCs, Prisma and SQLAlchemy for databases. BAML guarantees type safety for LLMs and comes with tools to give you a great developer experience:  Jump to BAML code or how Flexible Parsing works without additional LLM calls. | BAML Tooling | Capabilities | | ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | BAML Compiler install | Transpiles BAML code to a native Python / Typescript library (you only need it for development, never for releases) Works on Mac, Windows, Linux  | | VSCode Extension install | Syntax highlighting for BAML files Real-time prompt preview Testing UI | | Boundary Studio open (not open source) | Type-safe observability Labeling |

Foyle is a project focused on building agents to assist software developers in deploying and operating software. It aims to improve agent performance by collecting human feedback on agent suggestions and human examples of reasoning traces. Foyle utilizes a literate environment using vscode notebooks to interact with infrastructure, capturing prompts, AI-provided answers, and user corrections. The goal is to continuously retrain AI to enhance performance. Additionally, Foyle emphasizes the importance of reasoning traces for training agents to work with internal systems, providing a self-documenting process for operations and troubleshooting.

Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency. It helps users improve AI output quality through data quality, take control of their data and models, and improve efficiency by quickly iterating on the right data and models. Argilla is an open-source community-driven project that provides tools for achieving and maintaining high-quality data standards, with a focus on NLP and LLMs. It is used by AI teams from companies like the Red Cross, Loris.ai, and Prolific to improve the quality and efficiency of AI projects.

Digma is a Continuous Feedback platform that provides code-level insights related to performance, errors, and usage during development. It empowers developers to own their code all the way to production, improving code quality and preventing critical issues. Digma integrates with OpenTelemetry traces and metrics to generate insights in the IDE, helping developers analyze code scalability, bottlenecks, errors, and usage patterns.

This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

Helicone is an open-source observability platform designed for Language Learning Models (LLMs). It logs requests to OpenAI in a user-friendly UI, offers caching, rate limits, and retries, tracks costs and latencies, provides a playground for iterating on prompts and chat conversations, supports collaboration, and will soon have APIs for feedback and evaluation. The platform is deployed on Cloudflare and consists of services like Web (NextJs), Worker (Cloudflare Workers), Jawn (Express), Supabase, and ClickHouse. Users can interact with Helicone locally by setting up the required services and environment variables. The platform encourages contributions and provides resources for learning, documentation, and integrations.

The Alignment Handbook provides robust training recipes for continuing pretraining and aligning language models with human and AI preferences. It includes techniques such as continued pretraining, supervised fine-tuning, reward modeling, rejection sampling, and direct preference optimization (DPO). The handbook aims to fill the gap in public resources on training these models, collecting data, and measuring metrics for optimal downstream performance.

AgentGym is a framework designed to help the AI community evaluate and develop generally-capable Large Language Model-based agents. It features diverse interactive environments and tasks with real-time feedback and concurrency. The platform supports 14 environments across various domains like web navigating, text games, house-holding tasks, digital games, and more. AgentGym includes a trajectory set (AgentTraj) and a benchmark suite (AgentEval) to facilitate agent exploration and evaluation. The framework allows for agent self-evolution beyond existing data, showcasing comparable results to state-of-the-art models.

24/7 Screen & Audio Capture Library to build personalized AI powered by what you've seen, said, or heard. Works with Ollama. Alternative to Rewind.ai. Open. Secure. You own your data. Rust. We are shipping daily, make suggestions, post bugs, give feedback. Building a reliable stream of audio and screenshot data, simplifying life for developers by solving non-trivial problems. Multiple installation options available. Experimental tool with various integrations and features for screen and audio capture, OCR, STT, and more. Open source project focused on enabling tooling & infrastructure for a wide range of applications.

SheetCopilot is an assistant agent that manipulates spreadsheets by following user commands. It leverages Large Language Models (LLMs) to interact with spreadsheets like a human expert, enabling non-expert users to complete tasks on complex software such as Google Sheets and Excel via a language interface. The tool observes spreadsheet states, polishes generated solutions based on external action documents and error feedback, and aims to improve success rate and efficiency. SheetCopilot offers a dataset with diverse task categories and operations, supporting operations like entry & manipulation, management, formatting, charts, and pivot tables. Users can interact with SheetCopilot in Excel or Google Sheets, executing tasks like calculating revenue, creating pivot tables, and plotting charts. The tool's evaluation includes performance comparisons with leading LLMs and VBA-based methods on specific datasets, showcasing its capabilities in controlling various aspects of a spreadsheet.

LLM-for-misinformation-research is a curated paper list of misinformation research using large language models (LLMs). The repository covers methods for detection and verification, tools for fact-checking complex claims, decision-making and explanation, claim matching, post-hoc explanation generation, and other tasks related to combating misinformation. It includes papers on fake news detection, rumor detection, fact verification, and more, showcasing the application of LLMs in various aspects of misinformation research.

WrenAI is a data assistant tool that helps users get results and insights faster by asking questions in natural language, without writing SQL. It leverages Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) technology to enhance comprehension of internal data. Key benefits include fast onboarding, secure design, and open-source availability. WrenAI consists of three core services: Wren UI (intuitive user interface), Wren AI Service (processes queries using a vector database), and Wren Engine (platform backbone). It is currently in alpha version, with new releases planned biweekly.

OpenLIT is an OpenTelemetry-native GenAI and LLM Application Observability tool. It's designed to make the integration process of observability into GenAI projects as easy as pie – literally, with just a single line of code. Whether you're working with popular LLM Libraries such as OpenAI and HuggingFace or leveraging vector databases like ChromaDB, OpenLIT ensures your applications are monitored seamlessly, providing critical insights to improve performance and reliability.

TTS Generation WebUI is a comprehensive tool that provides a user-friendly interface for text-to-speech and voice cloning tasks. It integrates various AI models such as Bark, MusicGen, AudioGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, and MAGNeT. The tool offers one-click installers, Google Colab demo, videos for guidance, and extra voices for Bark. Users can generate audio outputs, manage models, caches, and system space for AI projects. The project is open-source and emphasizes ethical and responsible use of AI technology.

Airbroke is an open-source error catcher tool designed for modern web applications. It provides a PostgreSQL-based backend with an Airbrake-compatible HTTP collector endpoint and a React-based frontend for error management. The tool focuses on simplicity, maintaining a small database footprint even under heavy data ingestion. Users can ask AI about issues, replay HTTP exceptions, and save/manage bookmarks for important occurrences. Airbroke supports multiple OAuth providers for secure user authentication and offers occurrence charts for better insights into error occurrences. The tool can be deployed in various ways, including building from source, using Docker images, deploying on Vercel, Render.com, Kubernetes with Helm, or Docker Compose. It requires Node.js, PostgreSQL, and specific system resources for deployment.

Screen-pipe is a Rust + WASM tool that allows users to turn their screen into actions using Large Language Models (LLMs). It enables users to record their screen 24/7, extract text from frames, and process text and images for tasks like analyzing sales conversations. The tool is still experimental and aims to simplify the process of recording screens, extracting text, and integrating with various APIs for tasks such as filling CRM data based on screen activities. The project is open-source and welcomes contributions to enhance its functionalities and usability.

This repository contains the training and inference code needed to replicate the winning solution to the AI Mathematical Olympiad - Progress Prize 1. It consists of fine-tuning DeepSeekMath-Base 7B, high-quality training datasets, a self-consistency decoding algorithm, and carefully chosen validation sets. The training methodology involves Chain of Thought (CoT) and Tool Integrated Reasoning (TIR) training stages. Two datasets, NuminaMath-CoT and NuminaMath-TIR, were used to fine-tune the models. The models were trained using open-source libraries like TRL, PyTorch, vLLM, and DeepSpeed. Post-training quantization to 8-bit precision was done to improve performance on Kaggle's T4 GPUs. The project structure includes scripts for training, quantization, and inference, along with necessary installation instructions and hardware/software specifications.

Kaapana is an open-source toolkit for state-of-the-art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. Obtaining large amounts of medical data necessary for developing and training modern machine learning methods is an extremely challenging effort that often fails in a multi-center setting, e.g. due to technical, organizational and legal hurdles. A federated approach where the data remains under the authority of the individual institutions and is only processed on-site is, in contrast, a promising approach ideally suited to overcome these difficulties. Following this federated concept, the goal of Kaapana is to provide a framework and a set of tools for sharing data processing algorithms, for standardized workflow design and execution as well as for performing distributed method development. This will facilitate data analysis in a compliant way enabling researchers and clinicians to perform large-scale multi-center studies. By adhering to established standards and by adopting widely used open technologies for private cloud development and containerized data processing, Kaapana integrates seamlessly with the existing clinical IT infrastructure, such as the Picture Archiving and Communication System (PACS), and ensures modularity and easy extensibility.

An AI-Powered Tool for Detecting and Correcting Errors in Homework Problems

English conversation teacher, correcting grammar and engaging with questions.

This GPT is the most confident GPT out there. It performs and gives answers without doubting itself. It will correct you if you give wrong suggestions. Bringing back the confidence to ChatGPT!

Survey Creator

Expert in collecting and summarizing industry news.

Expert in Pokémon cards, offering advice on collecting, playing, and market trends.

Expert in sneaker customization, buying, collecting, and offering detailed advice on painting techniques and design inspiration

Your guide to starting a wine collection.

Sports Card Guru is a specialized version of ChatGPT designed to assist sports card collectors. It covers Baseball, Basketball, Football and other sports.

Ultimate watch aficionado, whatever you want to know about watch brands and movements.

The digital trading card assistant in your pocket.

Specializes in discussing valuable items.

Expert in numismatics, sharing coin history and collector tips

Guides in creating & buying NFTs, like on OpenSea.

Manages credit risk and implements effective collection strategies.

Strategic Collective Bargaiing From a Union Perspective

Personalized assistant for building private art collections with historical insights and customized recommendations.

The Collective: Diverse expertise for well-rounded, researched responses.

I'm Owl, your guide to collective wisdom and balanced insights.

Virtual networking coordinator connecting users with diverse experts for dynamic, informative discussions.