Best AI tools for< Design Quests >

TalkToStory is an AI storytelling platform that allows users to immerse themselves in dynamic and freeform stories created by AI. With the ability to shape characters' actions and decisions, users can experience epic quests, passionate romances, thrilling mysteries, and sci-fi adventures. The platform offers a unique way to interact with stories, bringing them to life through AI-generated artwork and character voices. Users can co-create and collaborate with friends, sharing their creations and exploring a vibrant AI storytelling community.

Adventure AI is an educational platform that offers kids the opportunity to work with cutting-edge AI technology to create games, art, music, and more. The platform provides a social gaming experience within Discord, where kids can engage in self-paced quests related to AI-assisted art, coding AI, and other paths of interest. Adventure AI aims to maximize intrinsic motivation in learning by making the AI tools engaging through games and real-world value creation. The platform also offers different pricing tiers with varying levels of access to AI tools and curriculum, including a community of kids collaborating on AI projects.

Interview Monkey is an AI tool designed to help software engineering candidates ace technical interviews. It offers real-time problem-solving capabilities for coding and system design questions, supporting over 10 coding languages. The tool operates discreetly during screenshare sessions, provides solutions without typing, and is tailored for various interview types. Interview Monkey aims to boost candidates' confidence, increase hiring chances, and upgrade their roles and salaries in the competitive job market.

BugFree.ai is an AI-powered platform designed to help users practice system design and behavior interviews, similar to Leetcode. The platform offers a range of features to assist users in preparing for technical interviews, including mock interviews, real-time feedback, and personalized study plans. With BugFree.ai, users can improve their problem-solving skills and gain confidence in tackling complex interview questions.

Interview Solver is a desktop application that acts as your copilot during coding interviews, providing instant solutions to LeetCode problems and system design questions. It features screengrabbing capabilities, one-shot solutions, query selected text functionality, global hotkeys, and syntax highlighting for all major languages. Interview Solver is designed to give you an AI advantage during live interviews, helping you land your dream job.

Pythanks.ai is an AI-powered platform designed for conducting high-quality survey-based business research efficiently and affordably. It leverages advanced Machine Learning techniques and Artificial Intelligence to create engaging surveys, analyze responses, and provide deep insights in minutes. The platform offers fully customizable surveys, website analysis, multilingual support, text summarization, AI interpretation, and seamless integrations with tools like Zapier and MailChimp. Pythanks.ai aims to make business research faster, cheaper, and better by automating the survey creation process and providing valuable insights through AI-driven analysis.

Interview.study is an AI-powered interview preparation platform that helps candidates practice real interview questions asked by top companies. The platform provides users with instant feedback on their responses, helping them identify areas for improvement and develop stronger answers. Interview.study also offers a variety of features to help candidates prepare for their interviews, including a database of interview questions, a mock interview tool, and a resume builder.

Quest is a web-based application that allows users to generate React code from their designs. It incorporates AI models to generate real, useful code that incorporates all the things professional developers care about. Users can use Quest to build new applications, add to existing applications, and create design systems and libraries. Quest is made for development teams and integrates with the design and dev tools that users love. It is also built for the most demanding product teams and can be used to build new applications, build web pages, and create component templates.

Nabubit is an AI-powered tool designed to assist users in database design. It serves as a virtual copilot, providing guidance and suggestions throughout the database design process. With Nabubit, users can streamline their database creation, optimize performance, and ensure data integrity. The tool leverages artificial intelligence to analyze data requirements, suggest schema designs, and enhance overall database efficiency. Nabubit is a valuable resource for developers, data analysts, and businesses looking to improve their database management practices.

Qwizzard is an AI question generator tool that helps users create questions automatically. By enabling JavaScript, users can generate a variety of questions for quizzes, exams, or assessments. The tool simplifies the process of question creation by leveraging AI technology to provide a quick and efficient solution. With Qwizzard, users can save time and effort in developing question sets for educational purposes or knowledge assessments.

UXSquid is a comprehensive UX research software platform and tool that guides users through the user research process with interview question examples, plans, templates, and a cheat sheet. It offers a free trial, requires no credit card, and allows users to cancel anytime. UXSquid's platform makes it easy to conduct user interviews and gather feedback. Users can use its automation tools to set up interviews with their target audience and gather valuable information. UXSquid analyzes user experiences and interactions with a company using cutting-edge artificial intelligence. It then makes important suggestions and enhancements to improve a product for its users.

ChatBuild AI is a website that allows users to create custom trained AI chatbots for their website in minutes. No coding experience is needed. Users can upload files to train their chatbot, and ChatBuild AI will generate a custom chatbot that is trained on the user's own data. ChatBuild AI also offers global support, so users can use their chatbot in any language.

ZekAI is an artificial intelligence platform that provides a suite of tools to help users with a variety of tasks, including writing, designing, exploring documents, and more. The platform is powered by state-of-the-art AI models, including GPT-4, GPT-3.5, and custom models, which enable it to deliver high-quality results and ensure the provision of safe content at all times.

DevOps Security Platform is an AI-native security tool designed to automate security requirements definition, enforcement, risk assessments, and threat modeling. It helps companies secure their applications by identifying risks at the beginning of the Software Development Lifecycle and enforcing them before go-live. The platform offers innovative features, customizable questionnaires, and seamless integrations with existing tools to enhance security practices.

Wonda is an AI-powered platform that enables users to create immersive learning experiences and simulations. It offers a range of features such as AI companions, quiz and assessments, virtual tours, role-playing games, and virtual workshops. Users can easily build interactive learning journeys without the need for coding. Wonda aims to enhance engagement and collaboration in training and onboarding processes, making learning experiences unforgettable and impactful. The platform supports integration with various learning management systems and provides advanced role management options for secure sharing. With Wonda, users can unleash their creativity and build virtual exhibits to showcase their ideas and projects in a fun and engaging way.

NonprofitAMA is an AI chatbot designed to provide information and advice on various aspects of nonprofits, including leadership, management, governance, fundraising, marketing, and more. Users can ask questions and receive responses based on curated, high-quality resources. The chatbot aims to offer valuable insights and guidance to individuals involved in or interested in nonprofit organizations.

This website provides a tool that allows users to create PowerPoint presentations using GPTs (Generative Pre-trained Transformers). GPTs are large language models that can be used to generate text, translate languages, and answer questions. The tool is easy to use and can be used to create presentations on any topic. Users simply need to enter a few keywords and the tool will generate a presentation that is tailored to their needs.

GetSite is an AI-powered tool that allows users to create beautiful microsites for their small businesses in minutes. By answering a few questions, the AI Developer generates a professional microsite, eliminating the need for coding or hiring a designer. GetSite provides hosting, domains, SEO optimization, analytics, and more, all in one place. The tool simplifies the website creation process, making it easy for consultants and small businesses to establish an online presence quickly and affordably.

CONVA is a platform that allows developers to add voice-first AI copilot functionality to their mobile and web apps. It provides natural, multilingual, and multimodal conversational AI experiences for app users. CONVA's voice copilot can help users with tasks such as product discovery, search, navigation, and recommendations. It is easy to integrate and can be used across multiple platforms, including iOS, Android, Flutter, React, Web, and Shopify. CONVA also offers pre-trained category-specific voice copilot, cross-platform availability, multilingual support, demand insights, and a full-stack solution for voice and text-driven search, action, navigation, and recommendations.

Developer Roadmaps (roadmap.sh) is a community-driven platform offering official roadmaps, guides, projects, best practices, questions, and videos to assist developers in skill development and career growth. It provides role-based and skill-based roadmaps covering various technologies and domains. The platform is actively maintained and continuously updated to enhance the learning experience for developers worldwide.

The 'bookmark-summary' repository reads bookmarks from 'bookmark-collection', extracts text content using Jina Reader, and then summarizes the text using LLM. The detailed implementation can be found in 'process_changes.py'. It needs to be used together with the Github Action in 'bookmark-collection'.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

An Open-Source Engineering Guide for Prompt-in-context-learning from EgoAlpha Lab. 📝 Papers | ⚡️ Playground | 🛠 Prompt Engineering | 🌍 ChatGPT Prompt | ⛳ LLMs Usage Guide > **⭐️ Shining ⭐️:** This is fresh, daily-updated resources for in-context learning and prompt engineering. As Artificial General Intelligence (AGI) is approaching, let’s take action and become a super learner so as to position ourselves at the forefront of this exciting era and strive for personal and professional greatness. The resources include: _🎉Papers🎉_: The latest papers about _In-Context Learning_ , _Prompt Engineering_ , _Agent_ , and _Foundation Models_. _🎉Playground🎉_: Large language models（LLMs）that enable prompt experimentation. _🎉Prompt Engineering🎉_: Prompt techniques for leveraging large language models. _🎉ChatGPT Prompt🎉_: Prompt examples that can be applied in our work and daily lives. _🎉LLMs Usage Guide🎉_: The method for quickly getting started with large language models by using LangChain. In the future, there will likely be two types of people on Earth (perhaps even on Mars, but that's a question for Musk): - Those who enhance their abilities through the use of AIGC; - Those whose jobs are replaced by AI automation. 💎EgoAlpha: Hello! human👤, are you ready?

HuixiangDou is a **group chat** assistant based on LLM (Large Language Model). Advantages: 1. Design a two-stage pipeline of rejection and response to cope with group chat scenario, answer user questions without message flooding, see arxiv2401.08772 2. Low cost, requiring only 1.5GB memory and no need for training 3. Offers a complete suite of Web, Android, and pipeline source code, which is industrial-grade and commercially viable Check out the scenes in which HuixiangDou are running and join WeChat Group to try AI assistant inside. If this helps you, please give it a star ⭐

Ragpi is an open-source AI assistant that answers questions using your documentation, GitHub issues, and READMEs. It combines LLMs with intelligent search to provide relevant, documentation-backed answers through a simple API. It supports multiple providers like OpenAI, Ollama, and Deepseek, and has built-in integrations with Discord and Slack. Ragpi builds knowledge bases from docs, GitHub issues, and READMEs, with an agentic RAG system for dynamic document retrieval. It has an API-first design with Docker deployment.

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.

AI Study Assistant is an app designed to enhance learning experience and boost academic performance. It serves as a personal tutor, lecture summarizer, writer, and question generator powered by Google PaLM 2. Features include interacting with an AI chatbot, summarizing lectures, generating essays, and creating practice questions. The app is built using 100% Kotlin, Jetpack Compose, Clean Architecture, and MVVM design pattern, with technologies like Ktor, Room DB, Hilt, and Kotlin coroutines. AI Study Assistant aims to provide comprehensive AI-powered assistance for students in various academic tasks.

Tiledesk Design Studio is an open-source, no-code development platform for creating chatbots and conversational apps. It offers a user-friendly, drag-and-drop interface with pre-ready actions and integrations. The platform combines the power of LLM/GPT AI with a flexible 'graph' approach for creating conversations and automations with ease. Users can automate customer conversations, prototype conversations, integrate ChatGPT, enhance user experience with multimedia, provide personalized product recommendations, set conditions, use random replies, connect to other tools like HubSpot CRM, integrate with WhatsApp, send emails, and seamlessly enhance existing setups.

AgentKit is a framework for constructing complex human thought processes from simple natural language prompts. It offers a unified way to represent and execute these processes as graphs, making it easy to design and tune agents without any programming experience. AgentKit can be used for a variety of tasks, including generating text, answering questions, and making decisions.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

ChatWiki is an open-source knowledge base AI question-answering system. It is built on large language models (LLM) and retrieval-augmented generation (RAG) technologies, providing out-of-the-box data processing, model invocation capabilities, and helping enterprises quickly build their own knowledge base AI question-answering systems. It offers exclusive AI question-answering system, easy integration of models, data preprocessing, simple user interface design, and adaptability to different business scenarios.

This is a vulnerability mining engine purely based on GPT, requiring no prior knowledge base, no fine-tuning, yet its effectiveness can overwhelmingly surpass most of the current related research. The core idea revolves around being task-driven, not question-driven, driven by prompts, not by code, and focused on prompt design, not model design. The essence is encapsulated in one word: deception. It is a type of code understanding logic vulnerability mining that fully stimulates the capabilities of GPT, suitable for real actual projects.

We0 is a web project generation tool that offers browser-based debugging, high-fidelity design restoration, importing historical projects, integration with WeChat Mini Program Developer Tools, and multi-platform support. It supports code generation, design-to-code conversion, open-source projects, WeChat Mini Program Tools preview, existing projects, and Deepseek. The tool uses pnpm as the package management tool and requires Node.js version 18.20. Users can install and configure the tool for web development and utilize quick start methods for building the web editor. Additionally, instructions are provided for installing and using the client version on Mac, along with troubleshooting tips. For any questions or support, users can contact [email protected] or join the WeChat group chat.

AI-LLM-ML-CS-Quant-Readings is a repository dedicated to taking notes on Artificial Intelligence, Large Language Models, Machine Learning, Computer Science, and Quantitative Finance. It contains a wide range of resources, including theory, applications, conferences, essentials, foundations, system design, computer systems, finance, and job interview questions. The repository covers topics such as AI systems, multi-agent systems, deep learning theory and applications, system design interviews, C++ design patterns, high-frequency finance, algorithmic trading, stochastic volatility modeling, and quantitative investing. It is a comprehensive collection of materials for individuals interested in these fields.

AI-LLM-ML-CS-Quant-Overview is a repository providing overview notes on AI, Large Language Models (LLM), Machine Learning (ML), Computer Science (CS), and Quantitative Finance. It covers various topics such as LangGraph & Cursor AI, DeepSeek, MoE (Mixture of Experts), NVIDIA GTC, LLM Essentials, System Design, Computer Systems, Big Data and AI in Finance, Econometrics and Statistics Conference, C++ Design Patterns and Derivatives Pricing, High-Frequency Finance, Machine Learning for Algorithmic Trading, Stochastic Volatility Modeling, Quant Job Interview Questions, Distributed Systems, Language Models, Designing Machine Learning Systems, Designing Data-Intensive Applications (DDIA), Distributed Machine Learning, and The Elements of Quantitative Investing.

The 'yu-picture' project is an educational project that provides complete video tutorials, text tutorials, resume writing, interview question solutions, and Q&A services to help you improve your project skills and enhance your resume. It is an enterprise-level intelligent collaborative cloud image library platform based on Vue 3 + Spring Boot + COS + WebSocket. The platform has a wide range of applications, including public image uploading and retrieval, image analysis for administrators, private image management for individual users, and real-time collaborative image editing for enterprises. The project covers file management, content retrieval, permission control, and real-time collaboration, using various programming concepts, architectural design methods, and optimization strategies to ensure high-speed iteration and stable operation.

This repository provides a hands-on workshop for developers and solution builders to build a real-life serverless LLM application using foundation models (FMs) through Amazon Bedrock and advanced design patterns such as Reason and Act (ReAct) Agent, text-to-SQL, and Retrieval Augmented Generation (RAG). It guides users through labs to explore common and advanced LLM application design patterns, helping them build a complex Agentic LLM assistant capable of answering retrieval and analytical questions on internal knowledge bases. The repository includes labs on IaC with AWS CDK, building serverless LLM assistants with AWS Lambda and Amazon Bedrock, refactoring LLM assistants into custom agents, extending agents with semantic retrieval, and querying SQL databases. Users need to set up AWS Cloud9, configure model access on Amazon Bedrock, and use Amazon SageMaker Studio environment to run data-pipelines notebooks.

Narrative-driven RPG creator with immersive and adaptive gameplay

A pixel-art history professor guiding adventurous role-playing games.

Expert on Destiny 2 lore, providing detailed and engaging answers.

Engaging storyteller for 《太古神王 3.0》, enhancing player experience.

Creative Web Designer for UI/UX advice.

Helps you write market research briefs and survey questions.

Ask questions about your yard and garden areas for general advice that includes native plants and bird-friendly landscapes. For an expert consultation with a real human, visit Melissa Hall Garden Designs: https://www.melissahallgardendesigns.com/

Question-and-answer style image design agent, solving the problem of not knowing how to describe design parameters to GPT.

I'm Qualitative Quest, here to offer concise advice on qualitative research methods, analysis techniques, and tools.

Assists in designing experiments for your scientific questions

Technical expert on locomotives, trains, signalling, and railway technology. Can answer questions and draw designs specific to transportation domain.

Helps craft interview questions and protocols

Assisting tutor for distributed real-time systems, engaging with questions and explanations.

I design and optimize GPT concepts.

A custom GPT model designed to assist in developing personalized software design solutions.

(EN) LightingGPT is an innovative AI system created by Lightinology. It specifically designed to answer a wide range of questions about lighting and optics. It supports multiple languages. (中) LightingGPT是由Lightinology創建的人工智能系統，專門設計來解答有關照明和光學的各種問題。支援各國語言。

Assistant for all data structures and algorithms related questions

Educational Design Assistant

Create comprehension questions based on a shared text. These questions will be designed to assess understanding at different levels of Bloom's taxonomy, from basic recall to more complex analytical and evaluative thinking skills.

Discovers your superhero alter-ego by answering three questions.