Chatbot AI Tools

Muse by Meta is described as your personal AI agent that gets things done. According to the website, you give Muse a goal or an everyday task and it handles the rest, spanning areas such as finances and health to shopping and the people you care about. It is designed for people who want an agent that can take tasks and projects off their plate and turn long-term goals into real progress. The product is accessed through the Muse app or directly in WhatsApp, and it connects to apps you use daily. Its purpose is to act as a proactive, controllable assistant that works on your behalf while keeping you informed and in charge. Many everyday responsibilities are fragmented across messages, email, calendars, shopping, finances, health, and social apps. People already communicate constantly through messaging, so learning a new interface can be a barrier. Muse is designed around the way you already communicate, aiming to remove that learning curve. It also addresses trust: letting an agent act for you raises questions about permissions, visibility, and privacy. The website explains that Muse is built for privacy, safety, and security, and that these principles shape every part of the product. The problem it solves is therefore not just task automation but delegation with control, so users can let an agent handle work without losing oversight. A key foundation is Muse Secure VM, which runs on a persistent, isolated Linux virtual machine equipped with a full browser and enough storage, CPU, and memory to do the kinds of things you would do on your own computer. Because the VM is persistent rather than reset each time, the agent can maintain context and continue working across sessions, which is useful for multi-step tasks. Because it is isolated, the agent has its own dedicated environment rather than operating directly inside your personal device. The full browser lets it interact with web pages and services in a way that resembles human computer use, while the allocated resources support real work rather than only simple replies. Muse is designed around the way you already communicate. You chat with your agent in the same way you message other people, using the Muse app or directly in WhatsApp. The website stresses there is no learning curve, just tell Muse what you want to get done. This means users can delegate tasks in natural language, the same way they send a text to a friend or colleague. Voice notes, reactions, and shared photos appear in the product imagery, suggesting a familiar messaging-style interaction. For users who already spend much of their day in chat apps, this approach lowers the friction of adoption and makes the agent feel like another contact rather than a separate software tool. Muse emphasizes staying in control of what your agent does. You can approve actions your agent takes on your behalf before they happen, such as sending emails and making purchases. The product also provides a complete audit trail of everything your agent has done and what it is planning to do. This matters because autonomous agents can otherwise feel like a black box. By putting approvals and activity history at the center, Muse aims to let users grant delegation without giving up awareness. You can review intended actions, confirm sensitive steps, and understand the sequence of work the agent has carried out. This control layer is described as a core part of the experience rather than an afterthought. Muse states your data is kept secure and private. You can save your logins to a secure credential store that Muse cannot see, with 1Password integration coming soon. When shopping, a one-time card number is generated at checkout so your real card stays hidden from the merchant and your agent. Eligible purchases are covered by Link's purchase protections, described as a first for AI agents, and your conversations are not shared with Meta's ad systems. These measures address common concerns about giving an AI agent access to accounts, payment methods, and personal conversations. The credential store keeps secrets out of the agent's view, while the one-time card reduces exposure during transactions. The privacy commitments are presented as part of how the product is built to deserve trust. Muse proactively helps with your goals and suggests ideas. It helps you stay on top of things, takes tasks and projects off your plate, and turns long-term goals into real progress. The agent learns from conversations, reflects on what matters, and gets sharper, coming back with ideas built around what you actually need. Those ideas are ready to act on under your direction. This means Muse is not only reactive; it can surface relevant suggestions and keep momentum going on objectives that might otherwise stall. The combination of learning, reflection, and proactive outreach is intended to make the agent more useful over time while keeping the user in the decision-making role. Muse connects to your apps and builds its own tools. You can connect apps you use daily, like email, calendar, and Instagram. You decide what your agent can see and what it can do, so permissions are part of the setup. If a task needs a tool that does not exist, your agent builds it for you. This connector model means Muse can work across the services where tasks already live rather than forcing everything into a single new platform. It also extends the agent's reach beyond pre-built actions: when a workflow requires a missing capability, the agent can create a tool to bridge the gap, still under the user's direction and permissions. Overall, Muse works as a personal AI agent that receives goals or everyday tasks and then handles the rest. It combines a dedicated secure computer environment, messaging-based interaction, explicit approvals, audit trails, privacy safeguards, app connections, and proactive goal support. The user communicates naturally through the Muse app or WhatsApp, the agent operates in its isolated Linux VM with a full browser, and it can connect to daily apps to carry out work. Before sensitive actions like sending emails or making purchases, the user can approve what happens. A complete audit trail records what the agent has done and plans to do. The agent learns from conversations, reflects on what matters, and suggests ideas, while the user decides what it can see and do. The stated benefits include getting things done without doing every step manually, staying on top of responsibilities, taking tasks and projects off your plate, and turning long-term goals into real progress. Users gain a way to delegate everyday work while retaining control through approvals and audit trails. Privacy features are intended to reduce risk when sharing logins or shopping online. Because Muse can build tools and connect to apps, it can adapt to tasks that do not have an existing integration. The proactive element means users may receive useful ideas and suggestions built around their actual needs, ready to act on under their direction. Concrete scenarios mentioned include giving Muse a goal or an everyday task and letting it handle the rest. It can help with finances and health, shopping, and the people you care about. In shopping, a one-time card number is generated at checkout so your real card stays hidden from the merchant and your agent, and eligible purchases are covered by Link's purchase protections. It can send emails and make purchases with user approval. Users can connect email, calendar, and Instagram to let the agent work across daily apps. If a task requires a tool that does not exist, the agent builds it. Muse also supports long-term goals by helping users stay on top of things and suggesting ideas. Muse is for people who want a personal AI agent to handle tasks and goals, especially those who prefer messaging-style interaction through the Muse app or WhatsApp. It connects to daily apps such as email, calendar, and Instagram, and a 1Password integration is coming soon. Eligible purchases use Link's purchase protections. The website mentions downloading apps and logging in with a mobile number or email; SMS notifications may be received by using a mobile number. Pricing details are not stated in the provided content, and platform availability beyond the Muse app and WhatsApp is not explicitly detailed. Muse by Meta positions itself as a personal AI agent that gets things done. By combining a persistent, isolated Linux VM with a full browser, familiar messaging via the Muse app or WhatsApp, approvals and audit trails, privacy safeguards, app connectors, and proactive goal support, Muse aims to let users delegate everyday tasks and long-term objectives while staying in control. The core value proposition is an agent that works on your behalf, handles the rest, and keeps you informed and in charge.

LLMBase is a Europe-based AI platform that provides access to over 80 AI models through a single application. The platform serves as an alternative to ChatGPT and other US-based AI services, offering both proprietary and open-source models while maintaining GDPR compliance and hosting data within Germany. The platform includes major AI models such as GPT-5, Claude, Gemini, Grok, DeepSeek, and various open-source alternatives. Users can access these models through both chat interface and inference API. The service emphasizes privacy-first AI with European-hosted open source models, ensuring no black-box routing across regions and no US data exposure by default. LLMBase operates on a subscription model that replaces the need for multiple separate AI service subscriptions. The platform provides full control with open models running in Europe and explicitly states that it does not train on user data. It supports integration with agents like OpenClaw and Hermes, allowing users to leverage their chat subscription across different AI agents. The platform is specifically designed for developers, teams, and companies that require state-of-the-art AI capabilities while maintaining strict privacy standards and data sovereignty. By hosting all operations in Germany and maintaining GDPR compliance, LLMBase addresses the growing demand for European AI solutions that don't compromise on data protection. Target users include European businesses, privacy-conscious organizations, developers requiring AI model access, and teams seeking to consolidate their AI tool subscriptions into a single platform. The service appeals particularly to those who need reliable AI capabilities without exposing their data to US-based infrastructure.

Hoogly.ai is an AI-driven employee engagement platform designed to replace traditional surveys with dynamic, confidential conversations. By capturing authentic employee voice in real time, the system converts raw feedback into actionable insights and personalized coaching for leadership teams. The platform centers on confidential AI-powered conversations rather than static questionnaires. These conversations surface employee sentiment, concerns, and suggestions, then automatically generate insights that leaders can act upon. The built-in coaching component guides managers on next steps, ensuring feedback translates into measurable improvements. Hoogly’s approach emphasizes follow-through: once insights are delivered, the system provides structured guidance so leaders know exactly how to respond. This closes the loop between collecting feedback and driving change, addressing a common failure point in conventional engagement programs. By moving away from slow, generic surveys, Hoogly enables organizations to gather richer, more candid input while reducing survey fatigue. The AI moderates discussions confidentially, encouraging openness, and then distills large volumes of qualitative data into clear priorities for HR and executive teams. Target users include HR leaders, people managers, and executives who need timely, honest employee feedback without the overhead of traditional survey cycles. The platform integrates with workplace tools such as Slack and Microsoft Teams, allowing conversations to happen within existing workflows.

Kodda is a no-code AI chatbot widget designed specifically for customer support. The platform enables businesses to create intelligent chatbots by simply uploading their existing documents, eliminating the need for complex programming or technical setup. The core functionality centers around document-based AI training. Users upload their support documents, FAQs, knowledge base articles, or any relevant documentation, and Kodda transforms this content into an intelligent chatbot capable of answering customer questions accurately. The system operates 24/7, ensuring customers receive immediate assistance regardless of time zones or business hours. Key capabilities include instant chatbot deployment through a simple embed code that works on any website. The no-code approach means support teams can set up and manage the chatbot without involving developers or IT departments. The platform uses advanced RAG (Retrieval-Augmented Generation) and embedding technologies to ensure responses are accurate and contextually relevant to the uploaded documents. The implementation process is straightforward: upload documents, customize the chatbot appearance if desired, and embed the provided widget code on your website. The entire setup can be completed in minutes rather than days or weeks typically required for traditional chatbot development. Benefits include significant reduction in support ticket volume, improved customer satisfaction through instant responses, and cost savings compared to hiring additional support staff. The 24/7 availability ensures global customers always have access to assistance, while the document-based approach guarantees consistent, accurate information delivery. Kodda offers a free plan with no credit card requirement, making it accessible for businesses to test and implement immediately. The platform is particularly suited for small to medium businesses, startups, and any organization looking to automate customer support without technical complexity or significant investment.

Nini is a phone-based AI assistant designed specifically for seniors and their caregivers. It operates through a single phone number that seniors can call or text to receive help with various daily tasks. The service coordinates appointments, arranges rides, orders groceries, manages prescription refills, and handles other small daily responsibilities that can become challenging for older adults living independently. The key features of Nini include appointment scheduling and management, reminder services for medications and important events, ride coordination for medical appointments or errands, grocery ordering and delivery arrangement, prescription refill management, and general question answering. The system also keeps family members informed about their loved one's activities and needs, reducing the caregiving burden on adult children and relatives. Nini works through simple phone calls or text messages, eliminating the need for seniors to learn new technology, download apps, remember passwords, or navigate complex interfaces. The AI assistant is available 24/7 and can handle multiple types of requests through natural conversation. Family members can monitor activities and receive updates about their loved one's interactions with the service, providing peace of mind while maintaining the senior's independence. The service addresses the common challenge faced by seniors who struggle with rapidly changing technology and don't want to feel like a burden to their busy adult children. By using the familiar interface of a telephone, Nini allows seniors to maintain their dignity and independence while still receiving the assistance they need for daily tasks. The AI assistant is patient, always available, and designed to handle the specific needs of older adults. Nini is particularly suited for seniors living independently, widowed seniors, and older adults who are not comfortable with smartphones or computers. The service requires no special equipment beyond a basic telephone and works regardless of whether the user has mobile data or advanced phone features. Family caregivers benefit from reduced stress and fewer daily interruptions while staying informed about their loved one's needs.

Sendly is an SMS platform designed specifically for AI agents and developers. It enables users to integrate SMS functionality into their applications quickly, with setup completed in under five minutes. The platform positions itself as an alternative to larger providers like Twilio, focusing on serving smaller developers and businesses. The platform offers AI agent native capabilities, allowing AI agents to perform the same SMS operations that developers can execute. This includes sending SMS messages from applications in a compliant and safe manner. Sendly emphasizes fast integration, testing, and deployment of SMS functionality. Sendly's approach centers on simplicity and speed of implementation. The platform promises that both developers and AI agents can start sending SMS messages within five minutes of setup. It focuses on providing compliant and safe SMS delivery, addressing the needs of smaller developers and businesses who may find larger providers less accommodating. The platform serves as infrastructure for applications requiring SMS capabilities, supporting both human developers and AI agents. It aims to democratize access to SMS functionality by providing an easier alternative to established enterprise-focused providers. Sendly targets developers, small to medium businesses, and organizations implementing AI agents that need SMS functionality. The platform supports SaaS applications and provides tools for AI infrastructure, making it suitable for modern applications that require both human and AI-driven messaging capabilities.

AI-powered legal intelligence platform for GCC and Africa. Search laws, consult AI legal advisors, and manage contracts.

Crea un’app chiamata ‘Dottore’ che utilizza un modello 3D interattivo per mostrare il percorso del cibo nell’apparato digerente. L’app risponde alle domande degli utenti, descrive le parti coinvolte, le malattie correlate, e fornisce spiegazioni dettagliate. Se qualcuno chiede cosa fare per un mal di pancia, l’AI spiega le possibili cause, ma raccomanda di contattare un medico per un consiglio preciso. Se qualcuno chiede chi ha creato l’app, l’AI risponde che è stata sviluppata da Shevin, Chiara, Clara e Oswald.”

Deforge.io is a no-code platform that enables users to visually or conversationally build and deploy AI agents. Its unique Chat to Build feature allows users to describe agent logic in natural language chats for quick setup.

Shadow is a real-time wingman that helps you take calls smartly by listening, thinking ahead, and slipping you the right prompts during conversations. It turns messy calls into productive ones and helps you have smarter conversations.