Best AI tools for< improve products or services >

GapScout is a market research software that uses AI to analyze customer reviews and identify gaps in the market. This information can be used to improve products or services, identify new opportunities, and spy on competitors. GapScout is easy to use and provides actionable insights in minutes.

RoboResponseAI is a GPT-powered chatbot designed for businesses to enhance customer engagement and streamline support. It integrates with various platforms, including websites, WhatsApp, Shopify, Wix, GoDaddy, KAJABI, Weebly, JIMDO, and Leadpages. By leveraging OpenAI's GPT technology, RoboResponseAI learns from a business's existing knowledge base, enabling it to provide human-like responses to customer queries about products or services. The chatbot aims to increase lead conversions, reduce recruitment phone screening time, and enhance ad campaigns by making them interactive.

ValueProp.Dev is an AI-powered tool designed to instantly generate a Value Proposition Canvas for companies based on their descriptions. The tool helps businesses identify and design a value proposition that addresses the needs and desires of their target customers by analyzing customer jobs, pains, and gains, as well as products and services offered. It simplifies the process of creating a strategic tool for businesses to improve their value propositions and make informed decisions about new products or services.

ReplyGuy is an AI-powered tool that helps businesses generate leads by monitoring social media platforms for mentions of their products or services. The tool then generates personalized replies to these mentions, which include a subtle mention of the business's product or service. ReplyGuy is designed to save businesses time and effort by automating the process of finding and responding to potential customers.

Betafi is a cloud-based user research and product feedback platform that helps businesses capture, organize, and share customer feedback from various sources, including user interviews, usability testing, and product demos. It offers features such as timestamped note-taking, automatic transcription and translation, video clipping, and integrations with popular collaboration tools like Miro, Figma, and Notion. Betafi enables teams to gather qualitative and quantitative feedback from users, synthesize insights, and make data-driven decisions to improve their products and services.

Parroview is a revolutionary AI-powered user research platform that automates the process of conducting user interviews. It uses natural language processing (NLP) to engage with users in real-time conversations, asking follow-up questions and uncovering insights that would be difficult to obtain through traditional methods. Parroview is designed to be fully autonomous, allowing researchers to set up interviews and gather insights without the need for manual intervention. It supports multiple languages, making it accessible to a global audience. Parroview offers a range of features, including the ability to conduct interviews via text or voice, analyze insights in real-time, and generate detailed transcripts. It is suitable for a wide range of research needs, including product validation, consumer behavior analysis, post-purchase evaluations, brand perception studies, and customer persona development.

Wysa is an AI-powered mental health application that provides immediate support through clinically validated AI chat conversations. It offers anonymous and unlimited care to help individuals work through worries, stressors, and symptoms of depression or anxiety. Wysa also provides structured programs, on-demand self-care exercises, and access to professional support for users in need. The application aims to transform how teams and families feel supported by leveraging AI technology to improve mental health outcomes globally.

The Visual Studio Marketplace is an online marketplace where developers can find and share extensions for the Visual Studio family of products. Extensions can add new features, improve existing features, or provide new ways to work with Visual Studio. The marketplace is a great resource for developers who want to customize their Visual Studio experience or find new tools to help them be more productive.

Simulai is an open-source conversational form builder that allows users to create interactive surveys and forms that feel like natural conversations. It is inspired by the simplicity of Notion and is completely free to use. With Simulai, users can easily add logic, choose from a list of templates, and host their forms on their own servers or use Simulai's free cloud hosting services.

Feedeo is an AI-powered interactive video platform that allows users to create engaging and personalized videos for a variety of purposes, including marketing, sales, recruitment, e-commerce, and education. With Feedeo, users can: * Generate leads and capture user feedback through interactive videos * Showcase products and services in a more engaging way * Gamify engagement and make learning more fun and effective * Create personalized videos for onboarding, training, and customer support * Collect feedback and improve customer satisfaction Feedeo is easy to use and requires no coding or video editing skills. Users simply need to upload their photos or videos, fill out a script, and select from a variety of interactive components. Feedeo's AI technology will then automatically generate a lifelike video that can be shared with others. Feedeo is a powerful tool that can help businesses of all sizes achieve their marketing, sales, and customer service goals.

Voiceflow is a powerful, flexible, and collaborative platform for building AI automation. It allows teams of any size to build agents of any scale and complexity, easily. Voiceflow's visual workflow builder is used by developers and designers to collaboratively create, iterate, and ship complex agents. Voiceflow also offers a central CMS for managing all of your agent content, including variables, intents, entities, and knowledge base sources. With Voiceflow, you can integrate with any API or service, share and test prototypes, and launch agents to any interface.

Faraday is a no-code AI platform that helps businesses make better predictions about their customers. With Faraday, businesses can embed AI into their workflows throughout their stack to improve the performance of their favorite tools. Faraday offers a variety of features, including propensity modeling, persona creation, and churn prediction. These features can be used to improve marketing campaigns, customer service, and product development. Faraday is easy to use and requires no coding experience. It is also affordable and offers a free-forever plan.

User Persona is a free AI-powered tool that helps you create detailed user personas in seconds. Simply enter a short description of your product or service, and our AI will generate a persona for you. You can edit any of the fields by clicking on them, and then download the persona as an image. User personas are a valuable tool for designing and marketing products and services that cater to the needs and expectations of specific user groups. By relying on research and data gathered from real users, personas are leveraged to guide design and marketing decisions throughout the development process. Effective use of user personas can help businesses tailor their offerings to specific target audiences, resulting in better user experiences, improved customer satisfaction, and higher engagement rates.

Respell is an AI-powered automation platform that helps businesses automate tasks, improve efficiency, and make better decisions. With Respell, you can create custom workflows, or "spells," that combine AI models, triggers, and apps to automate tasks such as lead generation, email marketing, user research, and more. Respell is designed to be easy to use, even for those without coding experience, and it integrates with a variety of popular tools and services. With Respell, you can save time, improve accuracy, and make your team more productive.

Name Drop AI is a tool that helps businesses generate leads and grow organically by identifying relevant conversations on social media platforms such as Twitter, Reddit, and others. It uses AI to pinpoint the most relevant conversations for a business's product or service, allowing them to engage with potential customers in a more authentic and efficient way. With Name Drop AI, businesses can save time and money by focusing on the conversations that matter most and interact with their audience in a more personalized manner.

AdCreative.ai is an AI-powered advertising platform that helps businesses create high-converting ad creatives, generate ad copy, and analyze their competitors' ads. The platform offers a variety of features, including: * **Creative generation:** AdCreative.ai's AI can generate thousands of ad creatives in minutes, tailored to your brand and target audience. * **Text generation:** The platform's AI can also generate ad copy that is designed to convert, based on your product or service and target audience. * **Competitor analysis:** AdCreative.ai allows you to track your competitors' ads and see what's working for them. This information can help you improve your own ad campaigns. * **Reporting and analytics:** The platform provides detailed reporting and analytics on your ad campaigns, so you can track your progress and make adjustments as needed. AdCreative.ai is used by businesses of all sizes, from startups to Fortune 500 companies. The platform has been featured in major publications such as Forbes, Entrepreneur, and The Wall Street Journal.

Auliza is a powerful tool that can help businesses of all sizes improve customer engagement and knowledge management. It uses GPT to power its chat agents, which can be easily embedded into any website or application. These chat agents are highly knowledgeable and can answer customer questions accurately and instantly. They are also available 24/7, so businesses can provide support to their customers even when they are closed. Auliza is easy to set up and use, and it can help businesses save on support costs. It is a valuable asset for any business that wants to improve customer satisfaction and engagement.

Knowbo is a custom chatbot that can be created from any website or knowledge base. It is easy to set up and use, and it can be customized to match your brand. Knowbo can help you handle all customer requests, reduce the load on your support team, and improve your customer experience.

Blozum is an advanced AI-powered chatbot platform that helps businesses increase conversions and improve customer engagement. It offers a range of features including instant customer conversion, customized purchase journeys, and seamless integration. Blozum's AI chatbots are designed to understand user intent and preferences, delivering tailored results and suggestions. They can be easily integrated into websites or applications, creating a more user-friendly environment. Blozum's platform is also built for multiple use cases, including conversational chat, customer support, and intelligent sales co-pilot.

Spine AI is a managed service that helps businesses deploy conversational interfaces that can execute complex workflows, perform bulk actions, and provide real-time data insights. It is designed to work with any product that has a REST or GraphQL API, and can be used to improve user flows, provide deep business insights, and offer a better input method for AI touchpoints. Spine AI is backed by Y Combinator and has a team of experienced AI engineers who can help businesses get started with AI.

**Prompt flow** is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality.

This repository serves as a hub for Microsoft Official Build & Modernize AI Applications reference solutions and content. It provides access to projects demonstrating how to build Generative AI applications using Azure services like Azure OpenAI, Azure Container Apps, Azure Kubernetes, and Azure Cosmos DB. The solutions include Vector Search & AI Assistant, Real-Time Payment and Transaction Processing, and Medical Claims Processing. Additionally, there are workshops like the Intelligent App Workshop for Microsoft Copilot Stack, focusing on infusing intelligence into traditional software systems using foundation models and design thinking.

UFO is a UI-focused dual-agent framework to fulfill user requests on Windows OS by seamlessly navigating and operating within individual or spanning multiple applications.

FarmVibes.AI is a repository focused on developing multi-modal geospatial machine learning models for agriculture and sustainability. It enables users to fuse various geospatial and spatiotemporal datasets, such as satellite imagery, drone imagery, and weather data, to generate robust insights for agriculture-related problems. The repository provides fusion workflows, data preparation tools, model training notebooks, and an inference engine to facilitate the creation of geospatial models tailored for agriculture and farming. Users can interact with the tools via a local cluster, REST API, or a Python client, and the repository includes documentation and notebook examples to guide users in utilizing FarmVibes.AI for tasks like harvest date detection, climate impact estimation, micro climate prediction, and crop identification.

A fine-tuning guide for both OpenAI and Open-Source Large Language Models on Azure. Fine-Tuning retrains an existing pre-trained LLM using example data, resulting in a new 'custom' fine-tuned LLM optimized for task-specific examples. Use cases include improving LLM performance on specific tasks and introducing information not well represented by the base LLM model. Suitable for cases where latency is critical, high accuracy is required, and clear evaluation metrics are available. Learning path includes labs for fine-tuning GPT and Llama2 models via Dashboards and Python SDK.

PyRIT is an open access automation framework designed to empower security professionals and ML engineers to red team foundation models and their applications. It automates AI Red Teaming tasks to allow operators to focus on more complicated and time-consuming tasks and can also identify security harms such as misuse (e.g., malware generation, jailbreaking), and privacy harms (e.g., identity theft). The goal is to allow researchers to have a baseline of how well their model and entire inference pipeline is doing against different harm categories and to be able to compare that baseline to future iterations of their model. This allows them to have empirical data on how well their model is doing today, and detect any degradation of performance based on future improvements.

TypeChat.NET is a framework that provides cross-platform libraries for building natural language interfaces with language models using strong types, type validation, and simple type-safe programs. It translates user intent into strongly typed objects and JSON programs, with support for schema export, extensibility, and common scenarios. The framework is actively developed with frequent updates, evolving based on exploration and feedback. It consists of assemblies for translating user intent, synthesizing JSON programs, and integrating with Microsoft Semantic Kernel. TypeChat.NET requires familiarity with and access to OpenAI language models for its examples and scenarios.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

TaskWeaver is a code-first agent framework designed for planning and executing data analytics tasks. It interprets user requests through code snippets, coordinates various plugins to execute tasks in a stateful manner, and preserves both chat history and code execution history. It supports rich data structures, customized algorithms, domain-specific knowledge incorporation, stateful execution, code verification, easy debugging, security considerations, and easy extension. TaskWeaver is easy to use with CLI and WebUI support, and it can be integrated as a library. It offers detailed documentation, demo examples, and citation guidelines.

RecAI is a project that explores the integration of Large Language Models (LLMs) into recommender systems, addressing the challenges of interactivity, explainability, and controllability. It aims to bridge the gap between general-purpose LLMs and domain-specific recommender systems, providing a holistic perspective on the practical requirements of LLM4Rec. The project investigates various techniques, including Recommender AI agents, selective knowledge injection, fine-tuning language models, evaluation, and LLMs as model explainers, to create more sophisticated, interactive, and user-centric recommender systems.

LLMLingua is a tool that utilizes a compact, well-trained language model to identify and remove non-essential tokens in prompts. This approach enables efficient inference with large language models, achieving up to 20x compression with minimal performance loss. The tool includes LLMLingua, LongLLMLingua, and LLMLingua-2, each offering different levels of prompt compression and performance improvements for tasks involving large language models.

Quack Companion is a VSCode extension that provides smart linting, code chat, and coding guideline curation for developers. It aims to enhance the coding experience by offering a new tab with features like curating software insights with the team, code chat similar to ChatGPT, smart linting, and upcoming code completion. The extension focuses on creating a smooth contribution experience for developers by turning contribution guidelines into a live pair coding experience, helping developers find starter contribution opportunities, and ensuring alignment between contribution goals and project priorities. Quack collects limited telemetry data to improve its services and products for developers, with options for anonymization and disabling telemetry available to users.

Swirl is an open-source software that allows users to simultaneously search multiple content sources and receive AI-ranked results. It connects to various data sources, including databases, public data services, and enterprise sources, and utilizes AI and LLMs to generate insights and answers based on the user's data. Swirl is easy to use, requiring only the download of a YML file, starting in Docker, and searching with Swirl. Users can add credentials to preloaded SearchProviders to access more sources. Swirl also offers integration with ChatGPT as a configured AI model. It adapts and distributes user queries to anything with a search API, re-ranking the unified results using Large Language Models without extracting or indexing anything. Swirl includes five Google Programmable Search Engines (PSEs) to get users up and running quickly. Key features of Swirl include Microsoft 365 integration, SearchProvider configurations, query adaptation, synchronous or asynchronous search federation, optional subscribe feature, pipelining of Processor stages, results stored in SQLite3 or PostgreSQL, built-in Query Transformation support, matching on word stems and handling of stopwords, duplicate detection, re-ranking of unified results using Cosine Vector Similarity, result mixers, page through all results requested, sample data sets, optional spell correction, optional search/result expiration service, easily extensible Connector and Mixer objects, and a welcoming community for collaboration and support.

The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.

This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access the ChatGPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

The Amazon Transcribe Live Call Analytics (LCA) with Agent Assist Sample Solution is designed to help contact centers assess and optimize caller experiences in real time. It leverages Amazon machine learning services like Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker to transcribe and extract insights from contact center audio. The solution provides real-time supervisor and agent assist features, integrates with existing contact centers, and offers a scalable, cost-effective approach to improve customer interactions. The end-to-end architecture includes features like live call transcription, call summarization, AI-powered agent assistance, and real-time analytics. The solution is event-driven, ensuring low latency and seamless processing flow from ingested speech to live webpage updates.

Labelbox is a data-centric AI platform for enterprises to develop, optimize, and use AI to solve problems and power new products and services. Enterprises use Labelbox to curate data, generate high-quality human feedback data for computer vision and LLMs, evaluate model performance, and automate tasks by combining AI and human-centric workflows. The academic & research community uses Labelbox for cutting-edge AI research.

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project caches pre-generated model results to reduce response time for similar requests and enhance user experience. It integrates various embedding frameworks and local storage options, offering functionalities like cache-writing, cache-querying, and cache-clearing through RESTful API. The tool supports multi-tenancy, system commands, and multi-turn dialogue, with features for data isolation, database management, and model loading schemes. Future developments include data isolation based on hyperparameters, enhanced system prompt partitioning storage, and more versatile embedding models and similarity evaluation algorithms.

FeedGen is an open-source tool that uses Google Cloud's state-of-the-art Large Language Models (LLMs) to improve product titles, generate more comprehensive descriptions, and fill missing attributes in product feeds. It helps merchants and advertisers surface and fix quality issues in their feeds using Generative AI in a simple and configurable way. The tool relies on GCP's Vertex AI API to provide both zero-shot and few-shot inference capabilities on GCP's foundational LLMs. With few-shot prompting, users can customize the model's responses towards their own data, achieving higher quality and more consistent output. FeedGen is an Apps Script based application that runs as an HTML sidebar in Google Sheets, allowing users to optimize their feeds with ease.

Quickly discovers your preferences with fun 'this or that' style questions.

I provide specific UX or Product Design feedback.

The best design or website roaster that there is. It tells you exactly what's good, what's bad and how to fix it. Made by @ThisSiya

Mastering efficient laziness in your projects, big or small. Ask this GPT for a follow-up matrix to optimize next steps.

This GPT automatically fills YC application for you based on website or Pitch Deck

Create, analyze & duplicate customized automated message campaigns to boost retention & drive revenue for your website or app

🔍 Expert in transforming webpages into FAQs! 📄🤖🌐 Transform any webpage into an informative FAQ section with AI Online FAQ Generator! 📄✨ Whether you're a website owner, content creator, or marketer, our tool seamlessly converts single-page URLs into engaging FAQs.

As a Good Design Advisor, I provide consultation and advice on design topics and analyze designs that are provided through documents or links. I can also generate visual representations myself to illustrate design concepts.

Facilitates customer satisfaction through effective feedback management.

TRIZ-based Function Analysis

Your TRIZ ideation guide

รศ.ดร. ไตรสิทธิ์ เบญจบุณยสิทธิ์ ** TriZit ** TRIZ Institute Thailand for Creativity Innovation and Inventive Problem Solving

I help create and run productive design thinking sessions.

Professional, welcoming creator of detailed, SEO-optimized Alt Tags, specifically for products.

IT products and pricing, for IT professionals.

Helps you create feature stories for your products.

Guides in creating effective PLG strategies for products

Guides the creation and testing of product prototypes.

Enhances product development through innovative mechanical design solutions.

Enhances manufacturing operations through advanced mechanical engineering expertise.