Chatbot AI Tools

Embage is a no-code platform for building AI chat and voice agents that talk to your customers. You choose whether the agent handles support, sales or feedback, shape its tone, and put it live on your website as a chat window, a browser-based voice agent, or both — and on Telegram for chat. The agent answers from your own documents, acts inside the tools you already use through sub-agents, and leaves your team a scored record of every conversation. It is built for teams that want customer conversations handled automatically without writing code or installing anything, and it can be live in three steps: build, connect and embed. Embage frames the underlying problem simply: most companies throw the conversation away. Visitors arrive, ask questions, and leave, and whatever they said is lost unless someone happens to be watching. Embage positions its agent as a way to answer 24/7 while your team sleeps, to save every chat as a lead, ticket or feedback record, and to end each conversation with a next step — a score and a follow-up — rather than a raw transcript nobody reads. That framing runs through the whole product: the conversation is treated as data worth keeping and acting on, not just a support cost. Chat and voice both run live on your site. You can add a chat window, a voice agent, or both, and chat agents can also answer on Telegram. Voice runs in the browser with nothing for visitors to install, and visitors can interrupt mid-sentence instead of waiting for the agent to finish. At any point the conversation can be handed off to your team. Because the voice agent acts mid-call, it can book meetings and save records while it is still talking, and when a human takes over their replies are spoken aloud to the visitor. The same documents, tools and scored record apply whether the conversation happens by chat or by voice. The knowledge base is what the agent answers from. You upload files or add web pages, and the agent searches them before it answers rather than improvising. Supported formats include PDF, Word, PowerPoint, Excel, CSV and Markdown. Articles can be edited in place so answers update to match, and questions the agent could not answer are surfaced as knowledge gaps — a direct signal of what your documentation is missing. This keeps replies grounded in your own material and gives the team a feedback loop for improving it over time. The datastore turns chats into records. While the agent talks, it saves tickets, leads and feedback, using templates for tickets, a sales CRM, feedback and events. It asks for missing fields before saving, so a half-complete ticket does not land in your queue, and every row can be filtered, edited and acted on afterwards. That means the outcome of a conversation is structured data your team can work with, rather than free text someone has to re-read and retype into another system. Sub-agents are how the agent does the work rather than only describing it. They are workflows written in plain English that call your tools mid-conversation, connected through 360+ apps with one-click sign-in — Zendesk, Shopify, HubSpot, Gmail, Salesforce, Google Calendar, Google Meet, Slack and Stripe among them. Every tool call is logged. The contrast Embage draws is between the old sequence — leave the chat, search the docs in another tab, do the task in Shopify — and running the sub-agent, where the knowledge base is checked, the workflow is done and the reply is ready, all inside the conversation. Embage lets you bring your own model key. You can pick from 200+ models, or plug in your own key so your agent's replies bill to your provider rather than to Embage credits. Connection is through OpenRouter or Vercel AI Gateway, and a different model can be assigned to each agent and each sub-agent. Keys are encrypted and never shown again after they are entered. Mixed model choice matters because different agents and sub-agents have different jobs, and the option to run on your own key changes the cost profile: on the Free plan, chat replies on your own API key use zero Embage credits. After the conversation ends, Embage evaluates it. Every chat receives a 0–100 score plus a sentiment reading and a summary, action items with a priority and an owner, and a note of what your docs are missing. A conversation record might show a score, a short description of what the customer asked, a next step marked high priority, and a knowledge gap such as international returns. This is the second half of the product's promise: the interaction is not finished when the visitor leaves, because the record of it continues to drive follow-up work. Getting an agent live follows three steps. First you build: pick support, sales or feedback, and shape its tone — no code involved. Second you connect: add your docs, your forms and the apps you use. Third you embed: paste one snippet on your site, or connect Telegram. From there the agent runs on the channels you connected, using the same knowledge base, the same sub-agents and the same scored record, whether a customer reaches it by chat window, browser voice or Telegram. The stated outcomes follow from those pieces. The agent answers while the team is unavailable, including 24/7, so visitors are not left waiting. Every conversation becomes a lead, ticket or feedback record instead of disappearing when the tab closes. Questions that the agent cannot answer become visible knowledge gaps instead of silent failures. And each conversation closes with a score, a summary and a prioritized next step, so follow-up starts from a structured record. Because the voice agent acts mid-call, booking and record-saving happen during the conversation rather than afterwards. In support, the agent handles questions such as changing a delivery address on an order, starting a return within the free 30-day window, or looking up a refund, while the outcome is logged as a ticket. In sales, it qualifies visitors and saves them into a sales CRM template, then books meetings through connected calendar tools. In feedback collection, responses land in the datastore as feedback records. With voice enabled, an agent can act as a receptionist that books a demo for a specific slot and confirms it out loud. Each of these sessions is then scored and summarised, and the lead quality or follow-up work is attached to the record. Embage is in early access and priced to match usage. The Free plan costs $0 forever and is enough for a website agent if you bring your own OpenRouter or Vercel AI Gateway key, with chat replies using 0 Embage credits; it includes 200 knowledgebase searches, 500 datastore writes and 250 integration calls per month plus the website chat embed. Starter is $19/month with 1,000 AI credits, 100 voice sessions, 1,000 knowledgebase searches, 1,000 datastore writes and 200 integration calls, aimed at small businesses adding support, leads and feedback to a site. Pro is $59/month with 3,800 AI credits, 500 voice sessions, 1,500 knowledgebase searches, 10,000 datastore writes and 300 integration calls, positioned for growing teams using Embage as a daily AI receptionist. Enterprise is custom, for teams needing custom limits, dedicated support and security and deployment review. Paid plans are free for 7 days, voice is priced per session, and no credit card is required to start. Taken together, Embage is a way to put a working agent on your website and Telegram that answers from your own material, performs tasks in your connected tools, keeps every conversation as structured data, and reports back on what happened. Its value proposition is that the conversation is captured, acted on and analysed rather than thrown away.

Savor is an Intention Layer™ — a calm app for thoughts and reminders, available free on iPhone and Android. It is built for the things that come up while life is already happening: a school flyer handed over on the way out the door, a bill with a due date, a restaurant someone mentioned, a text you meant to answer, or an idea you want to write down before it slips. Users capture something by speaking it, typing it, or snapping a photo, and Savor shapes it into a clear Savor Card describing what it is, when it matters, and what to do next. Cards live in three lanes — Now, Soon and Later — so what matters surfaces when it matters, and a timed notification or a daily reminder brings it back at the right moment. Most productivity tools are organised around output: streaks to maintain, dashboards to check, overdue counters, badges and scores. Savor's own comparison sets "most apps" — with their 27-day streaks, "5 tasks overdue" warnings and weekly productivity percentages — against its own approach: no streaks, no shame, no endless dashboards, no pressure. The problem it names is weight: some of the things people carry are big and some are small, but carrying all of them can be overwhelming. Rather than asking people to convert every passing thought into a task before they are ready, Savor gives each item a quiet place to land — clear enough to find again, gentle enough to leave alone until it matters — plus assistance moving it forward toward follow-through. Capture is deliberately low-friction. People can speak an item, type it, or scan a bill, letter or flyer with the camera. Photo capture is aimed specifically at paperwork: Savor reads the photo and creates a card from it, and the user can correct anything it missed. On iPhone, capture also works through Siri — saying "Add buy milk to Savor" creates the card without opening the app, and the card is there the next time Savor is opened. After capture, Savor understands and shapes the input into a Savor Card: the clear, plain-language version of what was captured, covering what it is, when it matters and what to do next. Any card can be edited, moved between lanes, or let go. Cards live in three lanes. By default Now holds today or overdue items, Soon holds the next two days, and Later holds everything after that — so "call the dentist tomorrow" lands in Soon while "buy milk" lands in Now. A card can be dragged to another lane or moved from the card itself, and what each lane means can be changed in Settings. Reminders are fully controlled by the user: Savor sends one notification at the time set on any timed card, plus a daily reminder to check Savor at 9:00 AM until it is changed or turned off. On a card with a date but no time, turning on Reminder brings it that day at the time shown beside it, or another time can be picked there. Settings holds the master switch, the daily reminder and quiet hours. Savor also supports moving an intention forward with other people. To delegate, the user opens a card and chooses "Hand this card to someone", or "Hand this piece to someone" on a subcard. The other person needs Savor and chooses Take it or Not now; once they take it, only they can change it and they receive its reminders, while the original owner sees a read-only copy with Take it back and can talk in the card's chat. Cards can be handed back and forth, and either person can resolve them. Take Action (Beta) helps explore options, build a plan or list, and draft words to use, with the user reviewing and adjusting the output. From a card, an item can also be added to the calendar so a date lives in both places. Savor's distinctive approach is the Intention Layer itself. Where a task manager tracks what needs to be done, an Intention Layer holds what a person means to do until it is ready to become a task. An intention can arrive as a partial thought — a question, a possibility, something the user is not ready to decide — and it keeps its thread as the user adds to it or changes direction. The loop is capture, shape, resurface: capture it now, shape it clearly, resurface it later, at which point the user can act, defer, delegate, finish or let it go. There is no public profile, feed, follower count, ranking or streak, and cards are private unless deliberately shared. The stated aim is to be used just enough — capture what matters, trust that it is held, and return to life. The intended outcome is less mental clutter and more space to live. Instead of holding dozens of small obligations in working memory, users hand them to a calm place and trust they are held until they become useful. Because lanes and reminders decide when something returns, people do not need to keep checking a system; because there are no streaks, badges or "don't break it now" messages, there is nothing to fall behind on. Delegation converts a private worry into a shared commitment with clear ownership, and the in-card chat keeps the context with the handoff rather than in a separate message thread. Adding a card to the calendar keeps a date visible in both places. Concrete scenarios described in the content: a school form or flyer that arrives during the workday — keep the original accessible, capture the next step, choose a reminder, and agree who owns the follow-up by handing the card on. A statement or bill can be photographed so the amount and due date are read and captured, with a reminder set for when it matters. A recommendation like a ramen place someone mentioned can be typed or spoken and parked in Later until it becomes relevant. Siri capture covers the moment of walking out the door. Take Action can help work through an unclear intention, build a list, or draft the words for a message, and handing a single step to someone turns a larger intention into shared progress. Savor is for people 13 and older, and teenagers get the same calm place to capture what is on their mind, with age-aware guardrails enforced around it. On a fresh install the app uses an Apple or Google Play age range where the store says a check is required; it never asks for a birth date or its own age question, and a store-reported under-13 range is blocked. When the store supplies a 13–17 range, model-written Take Action answers stay hidden until an output-safety check clears them, and answers that are flagged — or where the check cannot run — are withheld. Savor is free on iOS and Android while monetization is paused: no paid plan or upgrade is required, and product-limit counters do not block use or trigger an upgrade during the pause, though fair-use and service safeguards still apply. The privacy statements in the content are specific. Private cards, reminders, voice and photos are not sold or shared for advertising and are not used to train general-purpose AI models; voice and scans are turned into text only when the user chooses to capture, and product analytics contain no capture content. Take Action involves Anthropic's Claude Sonnet 5.5 for parts of the conversation and OpenAI's GPT-5.6 Luna for public-information research, with OpenAI's separate moderation service checking Take Action input for every account and, for a known teen account, checking the finished answer before it is shown. Limited advertising measurement is described separately in the full privacy policy at savorapp.ai/privacy. Savor's value proposition is stated plainly on its own site: less mental clutter, more space to live. It is not a traditional, list-first task manager. It is an Intention Layer that captures by voice, photo or text, shapes each item into a clear card, holds it in Now, Soon or Later, resurfaces it with reminders, and lets a card be handed to someone you trust — all without streaks, dashboards or pressure.

N8N Chat UI is a no-code builder for designing and customizing AI chat widgets that connect to n8n workflows and can be embedded into any website. It is built for n8n users, agencies, SaaS teams, and businesses that want a chat experience matching their brand without writing HTML, CSS, or JavaScript. The site describes a simple flow: design a mobile-friendly chat experience with a live preview, connect it to any n8n workflow, and embed it anywhere with a simple copy-paste. The product positions itself as an upgrade to the default n8n chat widget, adding deep customization, streaming, voice, file uploads, flexible layouts, and a JavaScript API for advanced integrations. The product exists because, in the words of the site, n8n's chat widget "definitely gets the job done — but just barely." Three specific complaints are called out. First, the generic interface: the default chat UI looks very basic. Second, limited customization options: customization is described as extremely limited, making it difficult to match your brand. Third, technical expertise required: further modifications require knowledge of HTML, CSS, and JavaScript. That combination leaves teams with a chat experience that works technically but does not represent their brand and cannot be changed without engineering help. N8N Chat UI addresses each point directly by putting appearance, layout, and input options into a visual builder that requires no coding or CSS knowledge, while still exposing options like a JavaScript API for users who want to go further. The core of the product is easy customization with instant setup. A widget configuration area lets you design widgets with your own branding and see changes live as you make them, then add the result to any website with a simple copy-paste. No technical skills are needed. The chat bubble itself is adjustable: you can modify its size, position, colors, and custom icon, choose a border radius style (circle, rounded, or none), set a custom icon URL, custom icon size, custom icon border radius, color of internal icons, bubble size in pixels, right position, bottom position, and toggle options such as a draggable bubble and auto open bot window. The site also lists a bubble, tooltip, window, footer, and advanced set of customization areas in the builder, and states the widget is mobile-friendly by default and works with no coding or CSS knowledge required. Display is flexible. You choose how your widget appears — as a floating bubble or embedded directly in your page content — using either an in-page or a popup widget type. The site emphasizes that this fits perfectly with your site's layout, so the widget can be a persistent floating launcher or a component placed within the page body. The three-step flow begins with selecting a type (for example, popup), then customizing, connecting, and embedding. Responsive and modern design is a stated feature: the widget is described as looking and functioning great on any device — desktop, tablet, or phone — with a clean, modern, and always user-friendly design. Beyond appearance, the widget adds richer interaction options. File upload support lets users send files directly through the chat, with you controlling which types of files are allowed and setting limits on size and quantity. Voice chat lets users record and send audio messages directly from the chat widget, enabling a voice-driven chat experience. Real-time chat streaming can be added with zero configuration: enable it in n8n and your widgets automatically support streaming, so responses arrive progressively instead of appearing all at once. Functionally, the product sits between your n8n workflow and your website. You build the interface in the N8N Chat UI builder, connect it to any n8n workflow, and embed the generated widget into any website. A JavaScript API is available for advanced integrations beyond the copy-paste path. The site also introduces a newer capability: customization with natural language. By connecting Claude or any other AI tool to the product's MCP server, you can customize your widget using natural language instead of clicking through settings, with documentation linked for connecting to Claude Desktop. That gives two routes to the same outcome — a visual no-code builder and an AI-assisted configuration path. The stated benefits are practical. You get a widget that matches your brand perfectly without coding or CSS knowledge, mobile-friendly behavior by default, and changes visible immediately through live preview before you embed. Because setup is copy-paste, publishing a new look does not depend on a developer. The customer section summarizes consistent feedback as easy to use and customize, looks professional, saves time, and works everywhere — reflecting the combination of on-brand design, fast setup, and cross-device behavior. Typical scenarios follow from those capabilities. A business can place a branded assistant on its website that answers through its existing n8n workflow. A team that wants a persistent entry point can use a floating, draggable bubble that optionally opens the bot window automatically, while a team that wants the chat inside the page can embed it in page content. Support flows that need attachments can accept files through the chat with controlled types, sizes, and counts. Voice-first experiences can let visitors record audio messages instead of typing. Teams building chat for clients or products can wire up a JavaScript API for deeper integration, and users who prefer describing changes can adjust the widget through an MCP-connected AI tool like Claude. The target audience named on the site is n8n users, agencies, SaaS teams, and businesses, and the site reports that 2,803 users have already built their widgets. Pricing is presented as a freemium-style entry with credits: you can start designing your widget now with 100 free credits, and a promotional banner advertises a lifetime license at $59 (from $149) plus 2,500 free credits. The product is delivered as a web-based builder, and it interoperates with n8n workflows, Claude and other AI tools through the MCP server, and any website that can host an embed. Overall, N8N Chat UI is a focused layer on top of n8n: it keeps your existing workflow logic while replacing the plain default chat interface with a customizable, mobile-ready widget. Its value proposition is straightforward — design a beautiful, on-brand AI chat widget without code, connect it to n8n, and embed it anywhere, with voice, file uploads, streaming, and an API available when you need more.

Chatway is a live chat and AI customer support platform with an all-in-one inbox, automation, and MCP. It is built for customer support and sales teams that want to handle every customer conversation from one place while adding AI where it helps most. Chatway lets businesses bring their own AI agent — connecting ChatGPT, Claude, Gemini, Cursor, or any MCP-compatible assistant — to manage customer conversations, reply to messages, search contacts, and access a knowledge base. Alongside that, Chatway ships with a built-in AI Support Agent, a shared inbox, a help center, automation, and iOS and Android mobile apps. Over 50,000 businesses use Chatway to build better customer connections. Customer support today is scattered. Conversations arrive through a website chat widget, WhatsApp, Facebook Messenger, Instagram, and email, and agents are expected to answer quickly without losing context or repeating themselves. Support teams also face rising volumes and the expectation of 24/7 availability, which is difficult to staff around the clock. Chatway addresses this by centralising every customer conversation in one unified inbox and by offering automation and AI so that routine questions can be handled instantly. The optional MCP connection means teams that already rely on an AI assistant can put that assistant to work on support, rather than starting over with a new tool. Chatway's built-in AI Support Agent answers questions and supports customers 24/7 across a website, WhatsApp, Instagram, Messenger, and Email. It is trained on your website and knowledge base, so it delivers instant, accurate answers in multiple languages and seamlessly hands conversations over to your team when human support is needed. For teams that already use an AI agent, Chatway supports Bring Your Own AI Agent with MCP and Webhooks. You connect your own agent — including Claude Code, OpenAI Codex, GitHub Copilot, Gemini, Devin, Cursor and others — through MCP and choose what it can access, so it can tag, hand off and help your team. It works alongside Chatway's built-in AI Support Agent rather than replacing it. Every conversation can live in a single all-in-one inbox. Chatway integrates with WhatsApp, Facebook Messenger, Instagram, X, Email, and Phone so customers can reach out through the channel they prefer while your team works from one place. Team collaboration tools let agents share notes, assign tasks, and work on conversations together, which improves efficiency and effectiveness. Live Visitors Insights shows who is browsing your website in real time so you can instantly start a conversation at the right moment. Multilingual Support translates incoming messages into agents' preferred languages in real time, supporting more than 20 languages, and the chat widget can be customised for diverse audiences. Automations and Smart Workflows let you create custom rules that respond to chats, form submissions, page visits, and more — engaging visitors, qualifying leads, and simplifying repetitive tasks. Deep eCommerce integration connects Chatway with platforms such as Shopify and WooCommerce so your team and AI agents get real-time order and cart insights, access to store data, and the ability to answer questions with relevant, up-to-date product information. A self-service Help Center lets you publish FAQs, guides, and documentation, while FAQ and Canned Responses give agents a library of common answers they can send in seconds. Analytics reports on your support activity so you can better understand customer interactions, and Segmentation categorises and labels conversations using specific criteria for more personalised support. Notifications keep you updated on all incoming messages with email and push alerts, and Full Customisation lets you personalise the chat widget to match your business's style and branding. Chatway's unique approach is that it does not force a choice between a human team and an AI agent. Human agents can reply to customers from the Chatway web or mobile app, work alone or with a team, and bring in an AI agent whenever they want. Conversations can be handed between AI and humans without losing context. Two paths are available for developers: connecting an existing AI assistant through MCP and webhooks, or building your own agent against the REST API. With the API route, you receive a signed webhook event the moment a visitor writes, and you reply through the REST API — and the API is included on every plan. The outcomes are practical: faster first responses, round-the-clock coverage, and less repetition for agents. Because the AI agent is trained on your own website and knowledge base, answers stay accurate and relevant. Because conversations are centralised in one inbox, agents do not have to switch between tools. And because handoffs between AI and humans preserve context, customers do not have to start over. Chatway reports over 1,000 five-star reviews across the iOS and Android app stores, and over 50,000 businesses already use it to build better customer connections. Chatway is positioned for a wide range of industries. eCommerce teams use it to recover carts, answer questions, and boost sales. SaaS teams use it to convert trial users into customers with support. Customer support teams use it to resolve issues quickly and improve satisfaction. Finance teams use it for secure client questions, education teams for student support, travel businesses for guiding travellers and answering booking questions, and real estate teams for responding to inquiries and closing deals. Professional services use it to connect with clients quickly and offer personalised service, HR and recruitment teams use it to engage candidates and streamline hiring, and nonprofits use it to engage supporters and build relationships. Chatway is aimed at customer support and sales teams of all sizes, including developers who want to build their own agents. It integrates with WhatsApp, Facebook Messenger, Instagram, X, Email, and Phone, with eCommerce platforms like Shopify and WooCommerce, and with site platforms such as Shopify, Wix, and Duda. Supported AI agents include Claude Code, Claude Desktop, ChatGPT, Codex, Cursor, Muse, Gemini, Grok, VS Code, Cline, Devin, OpenCode, Goose, Manus, and any MCP client. Pricing is free to start with no credit card required, and the API is included on every plan. In short, Chatway is a live chat and AI customer support platform that unifies every conversation, automates the routine, and lets you bring whichever AI agent you already trust. It lets support and sales teams deliver faster, more consistent answers across web, mobile, and social channels.

Toby is an AI mock interviewer designed for anyone preparing for a real job interview. You paste a job description, and Toby builds the questions a real panel would ask, from the warm-up to the curveball, then interviews you on a Google Meet, Teams or Zoom-style call. Afterwards you receive a scored debrief that breaks down every answer: what worked, what to fix, and a stronger version of each answer built only from what you said. Toby Higgins, the AI interviewer, asks the questions, listens, and tells you exactly what to fix, positioning the whole product as "the interview before the interview." The core promise is that this is not a generic list of questions. Toby is built for the interview you have actually got. Preparing for an interview usually means reading a wall of sample questions that have nothing to do with the company, the role or the round you are facing, and then hoping the real conversation goes well. Toby instead researches the company, maps every round and plays the interviewer, then shows you exactly what to fix. Practice happens in a Meet, Teams or Zoom-style call "so the real thing feels familiar," and the closing message on the site sums up the outcome: walk in having done it already, having practised the hard questions before they count. The first part of the product is preparation. Tell Toby the role and it builds your brief: what the company does, how it makes money, what has happened lately and how the team works. The brief covers the company's stage, size, HQ and business model at a glance, recent news and culture signals, dated, and talking points worth raising in the room. In the worked example shown on the site, a candidate preparing for a Senior Product Manager, Payments role at Fernleaf is given a summary of the company as spend management for UK and EU small businesses (company cards, bill pay and expenses in one account), plus its Series B stage, £45m in funding, roughly 200 staff and a London HQ. Recent news items are dated, such as hiring a new CFO from a listed payments company in August 2026 and launching bill pay in Ireland and the Netherlands in June 2026. Suggested talking points include asking how SEPA failure rates compare with Faster Payments, noting that interchange is most of the company's revenue so authorisation rate is a revenue metric, and offering a short written plan for your first 90 days in light of the company's memo culture. The second part maps the interview itself. Toby maps the interview process and what each round is assessing, then lists the questions most likely to come up in each one. Every round is shown with how long it runs and what it tests; in the example these are a 30-minute recruiter screen, a 45-minute hiring manager round, a 60-minute product case and a 45-minute values interview. Questions are tagged by competency and difficulty, and marked when real candidates have reported them. The site lists sample questions such as "What made you apply to Fernleaf, and why this payments role in particular?" tagged customer focus, motivation and easy, and a question about leading a squad of six engineers without line management tagged cross-functional leadership, leadership and medium. Users can also browse separate company interview guides. Practice is shaped around the round you are facing and the time you have. You pick the round (recruiter screen, hiring manager, product case or values) and the length, choosing 10, 20 or 30 minutes, whatever you've got. Real mode runs the interview straight through, like the day itself, with the full debrief at the end. Coach mode gives you a note or two after each answer and a chance to try again, and coach notes only appear once you have finished talking. The call is taken in a Google Meet, Teams or Zoom-style environment so the real thing feels familiar, with your camera on or off, and Toby will wait while you think. If you leave the call, he waits: "he's very patient," and you can rejoin. The debrief is where the feedback lands. You get a score against the role's rubric, then every answer is broken down: what worked, what to fix, and a stronger version built only from what you said. Each competency is scored 1–5, with the quote behind it, and the debrief also reports pace, talk time, filler words and answer length, alongside the full transcript, question by question. In the example on the site, a recruiter screen debrief scores 60 out of 100 with the headline "Solid examples, light on measurable impact," customer focus scored 3/5, talk time 35%, pace 136 wpm against a 130–160 ideal, and one filler word ("actually" ×1). The stronger version is built only from what the user said and adds bracketed prompts — such as adding the result as a number, from what, to what, over what time — that the user fills in with their real details. Overall, the method is simple and explicitly described. You paste a job description; Toby researches the company, maps every round and plays the interviewer; you take the call; and you get a scored debrief and a stronger version of each answer. Everything it tells you is anchored to your own words rather than a generic script, which is what makes the feedback specific to your role, your company and your rounds rather than to interviews in general. The stated benefits follow directly from that loop. Because you have already sat the interview once, in the same style of call, familiarity replaces novelty on the day. Because each competency is scored with the quote behind it, you know exactly what to fix rather than vaguely feeling underprepared. Because delivery metrics such as talk time, pace and filler words are surfaced, you can adjust how you speak as well as what you say. And because the suggested rewrites are drawn only from your own answers, the improved version still sounds like you, with placeholders prompting you to add the numbers and details you left out. Typical use cases are the rounds the product supports. You might rehearse a recruiter screen before an introductory call, work through hiring manager questions that probe your background and domain experience, run a longer product case round, or prepare for a values interview. Between rounds, Coach mode lets you pause after each answer, take a note such as "Good, specific example. Now size it: from what, to what, over what time?" and try again. Separately, the prep brief lets you research a company before the interview, gathering its business model, latest news and talking points worth raising in the room. Pricing is pay by the minute rather than a subscription. Your first 5 minutes on a call are free — enough to warm up and see how Toby's feedback works — and prep briefs, likely questions for every round, Real or Coach mode and a debrief on what you answered are included; you save a card to see your debrief, and it is not charged. After that, minutes cost £0.50 each, bought in packs from £5, are only used on a call, and last 6 months. There is no subscription, you can stop whenever you like, and every round and both modes are available. The pricing panel lets you choose a mock interview of 10, 20, 30 or 60 minutes, with £10.00 shown in the example. Toby runs on the web, with sign-up through app.usetoby.ai. In short, Toby's value proposition is that you can practise the hard questions before they count. It turns a job description into a researched prep brief, a mapped interview process and a realistic mock interview call, then converts that call into scored, quotable feedback and stronger answers built only from what you said — so that on the day, the conversation is something you have already had.

Hark Pro is a personal AI built to take things off your plate rather than add another chatbot to your day. The company describes it as a new kind of system for getting things done: whatever you need, let Hark handle it. Hark remembers what matters, thinks ahead about what you might need, and uses its own cloud computer to get things done across the web, covering everything from managing calendars and email to shopping, travel, bills, and everyday errands. Hark Pro is available as an app on browser, iOS, and Android. The product is positioned against the usual pattern of AI tools, which the company frames as adding another chatbot to your day rather than removing work from it. The tasks Hark takes on are the ones that quietly pile up: remembering that you put off getting home insurance quotes, comparing equivalent coverage, ordering from your usual pizza place, sorting email, submitting expenses from receipts, or finding a spot for an annual physical. Each of these normally means opening a browser, logging in somewhere, comparing options, filling in forms, and often making a payment. Hark's premise is that you should be able to state the outcome you want and let the AI carry out the steps. The core of the everyday experience is a single chat thread. Chat with Hark in a single thread for whatever you need, whether that is booking a table for a birthday dinner, submitting expenses from email receipts, or doing quick research. Hark has persistent memory, so it tailors responses to actually be useful to you rather than treating every request as a fresh start. That memory is what allows it to act on personal specifics, such as your usual order or the coverage you already have. For larger efforts, Projects keep bigger undertakings organized; the company names job searches and trip planning as examples of the kind of work that benefits from being grouped rather than scattered across messages. Hark's computer use agent is called Handoff. It can use the internet just like you would, and it can build websites, do research, place orders, and make slides, among other things. Crucially, it does this from its own secure computer with a full browser that is individual to you, rather than simply returning text suggestions. That means tasks which require navigating real websites, clicking through flows, and completing transactions can be carried out from start to finish instead of being described back to you. Because Hark asks you to connect accounts, save logins, and make payments, the company treats security as a first-class part of the product under the name Secured by Hark. It uses end-to-end encryption so your data stays safe, and describes the arrangement as a vault that absolutely no person has access to. Hark also checks in with you before doing something that requires your approval. The company states that your sensitive credentials stay encrypted, that Hark never sells your data or shares it with advertisers, and that you can watch it work. Action Buttons are Hark's answer to the to-do list. Hark suggests and prioritizes these actions based on what it knows you have on your plate, so the list is generated for you rather than written by you. All you have to do is click on one, and Hark will perform that action from start to finish. This turns the assistant into something closer to a queue of delegated work than a conversation you have to keep driving. Panels are customizable views you create to stay on top of whatever you like. You describe what you want and Hark builds mini-apps completely tailored to you. You can also ask your Panels questions to dig deeper into their data, unlocking even more from services you already use; Strava, Spotify, and Venmo are the examples named on the site. Where Action Buttons handle discrete tasks, Panels are about ongoing visibility into the things you care about, built on the fly from your own description. Taken together, Hark's approach is to combine a conversational front end, persistent memory, a proactive task layer, and an agent that can actually operate the web. Rather than a chat window that only produces answers, Hark pairs the conversation with Handoff's own secure browser, with end-to-end encryption protecting the accounts and payment details you connect, and with approval checkpoints before sensitive actions. Meanwhile Action Buttons and Panels let the assistant surface what it thinks you should do and give you customized views of your own data. The result is a single system that spans talking to an assistant, delegating to it, and monitoring what it has done. The stated benefits are practical. Hark is designed to take things off your plate, remember what matters, and think ahead about what you might need. It can handle calendars and email, shopping, travel, bills, and everyday errands on your behalf, and you can watch it work. With persistent memory, responses are tailored rather than generic; with Handoff, work that would otherwise require your own browsing can be completed end to end; with Action Buttons, you get a prioritized to-do list you can clear with a click; and with Panels, you can dig deeper into data from services you already use. The site illustrates the scope with example requests. Hark can be asked to book a trip to Mexico City next weekend, find the cheapest flights, and locate a nice hotel in Polanco, or to find the cheapest flight from SFO to JFK this weekend and book it. It can order a Margherita from your usual pizza place, or find a nice dinner for two in your neighborhood this Friday. It can find competitive home insurance quotes with equivalent coverage, show a comparison, and make the switch, or audit what you are spending the most on and help you save money. It can find a dentist who takes your insurance and book a checkup, or find a spot for an annual physical. It can help manage and sort your email, submit expenses from email receipts, and do quick research. And through Handoff it can build websites, do research, place orders, and make slides. Hark Pro is aimed at people who want their everyday logistics handled without adopting another tool to manage. The examples span travel, dining, insurance, spending, health appointments, and email, the kind of personal admin that any busy individual faces. It is offered through the Hark Pro app on browser, iOS, and Android, and sign-up is through Google or Apple, or by continuing directly; by continuing you agree to the Terms of Service and acknowledge that your data will be processed in accordance with the Privacy Policy. The company frames the product around building the most personal, human-like intelligence in the world, and points to enterprise-level security as part of that promise. In short, Hark Pro sets out to be the personal AI that handles life before you have to. It combines a persistent-memory chat, Projects for bigger goals, Handoff's secure browser-based agent, approval-gated encryption, Action Buttons, and custom Panels into one system, built to take things off your plate rather than add another chatbot to your day.

Maisters TalentIQ™ is an AI-powered recruitment platform designed for government agencies and public-sector organizations that need to modernize hiring without sacrificing transparency, fairness, or compliance.The platform automates time-consuming recruitment activities including candidate screening, qualification checks, structured first-round interviews, candidate scoring, interview documentation, and compliance recordkeeping. AI-powered structured interviews give every candidate consistent questions and evaluate responses against agency-defined competencies and scoring rubrics.TalentIQ™ is designed with government hiring requirements in mind. It provides explainable candidate scoring, bias monitoring, veteran preference handling, compliance documentation, configurable records retention, and complete audit trails that help HR teams prepare for reviews, public-records requests, and internal oversight.Hiring managers receive ranked candidate shortlists supported by interview transcripts, scoring details, evaluation criteria, and decision evidence. Human staff retain final hiring authority throughout the process.The platform also provides workforce analytics for monitoring time-to-fill, candidate sources, hiring patterns, pipeline diversity, and recruitment performance. It can integrate with existing applicant tracking systems, HRIS platforms, background screening providers, credential verification services, identity providers, and agency-specific workflows through APIs.Maisters TalentIQ™ helps public-sector HR teams reduce administrative workload, accelerate recruitment, improve consistency in candidate evaluation, and maintain documented, audit-ready hiring processes.

Wabi describes itself as a new kind of messenger that gets things done. According to its website, it is a messenger that makes apps and gets things done for you and your friends, so that a conversation becomes the place where plans actually happen. The company frames the product as "the OS for the agentic era — software that adapts to your life, gets things done, and makes more room for the people and things that matter." Its messaging is aimed at groups: friends organizing a trip, people who share bills and subscriptions, students, book clubs, pet owners, dinner planners and concert-goers. The promise on the site is simple and repeated in its call to action, "Let Wabi handle your next group trip," followed by "More of what you want to do. Less of what you have to." The problem Wabi addresses is visible in the way group chats usually end up: a lot of talking, and then a lot of loose ends. The website's use-case list reads like a catalog of exactly those loose ends — group trips that still need to be organized, bills and subscriptions that quietly grow, school items, group pets, games, book clubs, dinner plans and live music. One of the example conversations on the site makes the problem concrete: Wabi tells a user that their Comcast bill went up $41 a month and asks, "Want me to try to renegotiate it?" The point is not that people need another place to type messages; it is that the things discussed in a chat typically require separate apps, separate reminders and separate effort to finish. Wabi positions itself as the layer that closes that gap between talking about something and actually doing it. The most distinctive claim in the content is that Wabi not only carries a conversation but also builds the small apps that the conversation needs. The Product Hunt description states that Wabi is "a new kind of messenger that makes apps and gets things done for you and your friends." The website illustrates this with a set of use-case tiles that recur throughout the page: Group trip, Bills & subs, School, Group pet, Games, Book club, Dinner plan and Live music. Each of these is presented together with its own icon and the label of the app or scenario it represents, suggesting that these are the kinds of lightweight, purpose-built spaces Wabi can create around a group's activity. In other words, instead of asking users to leave the chat for a dedicated planning tool, Wabi brings the tool into the conversation, where the context — who is involved, what was decided, when it happens — already exists. A second, equally prominent theme in the content is proactivity. In the "Wabi conversation" example screens shown on the site, Wabi is not waiting to be asked questions; it is reporting things it has noticed. In one thread, Wabi says: "Your flight confirmation email just landed. San Francisco (SFO) → Mexico City (MEX). Sep 30 – Oct 5." The same thread displays a flight card with departure 09:55 and arrival 14:20, a destination label reading "CDMX," a trip countdown reading "DEPARTURE ✈ 14 DAYS 08 HRS 32 MIN," and a widget labelled "Mexico City · Local recs." In another conversation, Wabi says "I've put all your upcoming live shows into one app," above a list of concerts (Turnstile Sep 25, sombr Oct 4, Disclosure Nov 12). A third example shows a Subscriptions app with a monthly total of $327.60 and Wabi's offer to renegotiate a bill. Each example follows the same pattern: an inbound piece of information is detected, organized and surfaced inside the chat with a suggested action attached to it. Wabi's shared, group-oriented side is expressed through its use-case categories. The page names Group trip, Bills & subs, School, Group pet, Games, Book club, Dinner plan and Live music, and the site's headline call to action is "Let Wabi handle your next group trip." Those labels cover both logistics — a trip with flights, a countdown and local recommendations — and recurring group life, such as dividing bills and subscriptions, coordinating school matters, tracking a shared pet, running games, choosing a book, planning a dinner, or keeping track of live music everyone wants to attend. Because these appear as reusable tiles rather than one-off screens, the implication of the content is that a group can spin up a working space for whatever activity it currently cares about, inside the same messenger the group already uses for conversation. The overall approach, as described, is to treat the messenger as an operating layer rather than a chat window. Wabi calls this "building the OS for the agentic era," and defines that software as something that "adapts to your life, gets things done, and makes more room for the people and things that matter." The examples support that framing: information arrives from the outside world — an emailed flight confirmation, a set of upcoming shows, an increase in a monthly bill — Wabi turns it into an organized in-chat object such as a trip card with a countdown, a consolidated shows app, or a subscriptions view with a monthly total, and then offers the next step, such as trying to renegotiate that bill. The "+Message" control visible in each mock conversation indicates that Wabi sits inside the normal flow of messaging, so users keep responding with plain messages rather than switching tools or learning a new interface. The benefits stated or directly shown in the content follow from that structure. The site's closing line, "More of what you want to do. Less of what you have to," summarizes the value proposition: less administrative overhead and more time for the actual point of the group, whether that is a trip, a book, a show or a dinner. Practical benefits visible in the examples include being told about a flight confirmation without hunting for it, seeing a countdown to departure, having upcoming live shows gathered in a single app, seeing subscription spending in one monthly figure, and being offered help when a bill increases. The underlying promise is that nothing important said in the chat gets lost, and that the follow-through happens alongside the conversation rather than somewhere else entirely. The content describes a wide spread of concrete situations. A group trip is the flagship example: the site explicitly invites users to "Let Wabi handle your next group trip," and the conversation mock-up walks through a San Francisco to Mexico City itinerary with flight times, a countdown to departure and local recommendations for CDMX. Bills & subs is another: a Subscriptions app showing a $327.60 monthly total, plus the example of Wabi flagging a Comcast increase of $41 a month and offering to try to renegotiate it. Live music is shown as a consolidation task, with several upcoming concerts collected into one app. The remaining named scenarios — School, Group pet, Games, Book club and Dinner plan — appear as use-case tiles describing other kinds of everyday group activities that Wabi is presented as supporting. The audience implied by the content is people who organize life in groups: friends and travel companions, households and bill-splitters, students, club and hobby organizers, pet owners and concert-goers. The meta keywords on the site list "Wabi, messenger, group chats, trip planning, everyday tasks," which matches that framing. On availability, the site provides a "Get Wabi" call to action, and its page metadata includes an apple-itunes-app identifier (app-id 6747768928), indicating a mobile app presence, alongside the web page at wabi.ai. No pricing, plan tiers, technology stack or integration details are stated in the provided content, so those specifics cannot be confirmed here. In summary, Wabi is a messenger that aims to get things done rather than just carry messages. It positions itself as an operating system for the agentic era, making apps and handling everyday tasks for you and your friends, and illustrates that idea with group trips, bills and subscriptions, live music, school, book clubs, dinner plans, group pets and games. Its stated value is straightforward: more of what you want to do, and less of what you have to.

Rool is a full private cloud machine that brings your files, software and AI into a single workspace. Instead of being only a chat window, Rool gives you a complete machine in the cloud that holds your documents, runs software, and keeps the work and memory produced between tasks. The machine is hosted in the EU, and the AI models that run on it are self-hosted by Rool in the EU as well. Rool is built for privacy-conscious individuals, teams and creators who want to work with AI without giving up control of their content. Your workspace stays private to you and to the people you choose to invite, and you can start on a free machine without a credit card. Most mainstream AI tools ask you to trade your data for convenience. Content you upload may be used to train models, advertising may be part of the deal, and your data may sit in jurisdictions far from where you or your customers are. Rool takes a different position. The company states that it sells Rool, not your data: there are no ads, no data sales, and your files and conversations are never used to train AI models. Your data is stored in Finland, under EU law, and your Rool Machine is hosted in the EU. For individuals and teams who care about where their information lives and who can reach it, that difference is the whole point rather than a footnote. Chat is just the surface in Rool. Behind every conversation sits a full machine that holds your files, runs software and keeps your work and memory between tasks. That means a chat is not a dead end: you can start with a conversation and then build from there. The machine keeps the results of what you do and the context around them, so the next task does not begin from zero. Files, software and memory are the three pillars Rool highlights. Writing a document, working with your files, or running software all happen on the same machine, and the outputs stay there, ready for whatever you do next, rather than being scattered across separate tools that forget what happened before. Rool runs AI models on infrastructure it manages in the EU. Those self-hosted models are what you use to work on the documents, files and tasks inside your Rool Machine. Frontier AI models are included in every plan, so the free Standard tier is not limited to a cut-down model. Usage is measured in AI credits: Standard includes 240 AI credits per day, Plus includes 1,200 per day, and Pro includes 4,800 per day, with the balance refilling hourly up to a plan-specific ceiling of 1,000, 2,000 or 5,000. Keeping the models in the EU, on infrastructure Rool manages, means your workspace and the AI infrastructure that serves it sit closer together rather than across jurisdictions. Your existing tools can be connected to your Rool Machine. Rool provides built-in connectors and support for custom MCP servers, which bring external services into the workspace so you do not have to abandon the tools you already use. Connectors and MCP are listed as features of the Plus and Pro plans, and they appear alongside the custom subdomain option. Practically, this means the machine is not a sealed box: it can reach out to the services around your work and pull their capabilities into the same place where your files and memory already live. Rool describes this as bringing the tools you already use into your Rool workspace, keeping one environment instead of many disconnected ones. Privacy is not a setting in Rool; it is the shape of the product. Your machine is private to you and the people you invite, and you choose who gets access. Your files, conversations and memory stay in your own workspace. Rool states plainly that there are no ads and no data sales, and that your files and conversations are never used to train AI models. The European hosting story reinforces the same point: your Rool Machine is hosted in the EU, and the models are self-hosted in the EU too. For anyone whose work involves sensitive material, such as client documents, internal notes or personal writing, having a workspace that is not mined for advertising or model training removes a recurring source of hesitation. The overall approach is to give one person or a team a single persistent machine rather than a collection of disconnected chat sessions. You start with a chat, and the chat is how you get going, but everything it touches lands on the machine: the documents you write, the files you work with, the software you run, and the memory that carries context forward. Rool calls the memory system Object Memory, and full Object Memory is included in the free Standard plan. Because the machine keeps working state between tasks, you do not have to re-establish context every time you come back. Because the models run on Rool's own EU infrastructure, the AI is part of the same environment as your files instead of a separate service consuming them. The benefit is continuity with control. Work you do in Rool does not evaporate when a conversation ends; the results and the context stay on your machine, ready for the next task. You keep your files, conversations and memory in your own workspace and decide who else can see them. There are no ads and no data sales to work around, and your content is not used to train AI models, so you can bring real work into the tool rather than sanitised versions of it. EU hosting and EU self-hosted models give you a clearer answer when someone asks where the data lives. And because every machine starts free, with no credit card and no trial clock, the cost of trying that approach is zero. Rool fits workflows where a person or a small team needs to work across files and tasks with AI in the loop. Writing a document, working with existing files, or running software are the activities Rool names directly, with the machine keeping the results and context ready for what comes next. Teams can invite the people they work with and control who has access to the workspace. Creators get a place to keep ideas, files and AI work together instead of spread across unrelated apps. Anyone who needs to connect external services can do so through connectors or a custom MCP server and then work with those tools from inside the same machine. The pattern in every case is the same: start a chat, do the work, and let the machine hold onto it. Rool is available on the web and as mobile apps for iOS and Android, with download badges for the App Store and Google Play. Pricing is freemium. Standard is free forever: 240 AI credits per day, 2 Rool Machines, 1 GB of storage per Machine, a balance that refills hourly up to 1,000, full Object Memory and frontier AI models included. Plus costs €9 per month and multiplies the daily credits five times to 1,200, with 2 GB of storage per Machine, a refill ceiling of 2,000, faster hourly refills, a custom subdomain, and connectors/MCP. Pro costs €25 per month, twenty times the Standard credits at 4,800 per day, 5 Rool Machines, 10 GB of storage per Machine, a refill ceiling of 5,000, priority support from the Rool team, plus everything in Plus. Rool's proposition is simple to state: a full private AI machine with files, software and persistent memory, hosted in the EU, running models that Rool self-hosts in the EU, under a policy of no ads, no data sales and no training on your content. It takes the convenience of chatting with AI and attaches it to something that lasts, a machine that keeps your work and its context between tasks. For privacy-conscious individuals, teams and creators who want AI they can trust with real work, Rool offers a workspace you control, on your terms, and free to start.

Velozity is the Multiplayer AI Office, a workspace where your team and your AI agents work together in one place. Instead of your team chatting in one app, meeting in another, and every AI working alone, Velozity brings it all into a single window. You can walk into a cabin in Workspace or talk to your agents in AI Space, using chat, audio and video calls with transcripts, tasks, calendar and files alongside AI agents such as Claude and Codex running on the subscriptions you already pay for. It is designed for startups, teams in development, product, sales and operations, and solo users juggling several AIs. Modern teams suffer from tool fragmentation. As the Product Hunt listing describes it, your team chats in one app, meets in another, and every AI works alone, forcing people to constantly switch between tools and re-explain context. Velozity's answer is to bring communication, meetings, tasks, calendar and files into one place, and to give every agent the same shared context so work moves between people and agents without having to re-explain. User stories on the site reinforce this: one describes replacing a whole suite of tools like Slack, Zoom, Notion, Calendly and even physical office setups, and another reports 97% less tool switching. The premise is that context is expensive, and keeping people and agents on the same page saves both time and money, with no second AI bill. Velozity is organized as a virtual office rather than a flat chat app. You walk into a cabin inside Workspace, and you can drag to walk around the floor to see who and which agents are working where. Each cabin and space shows live presence, so you can see that Arjun is using VS Code, Meera is using Figma, or that agents like Atlas, Tabby and Nova are working. From any cabin you can Drop In, chat, or invite someone over. Shared rooms such as a Town Hall and a Focus Room let people join a room for meetings, and the whole experience is designed so your team works there while your agents already know what happened. Velozity bundles the communication tools a team normally pays for separately. It supports chat with reactions, reply, quote reply, forward, copy text and copy link, plus at-a-glance context indicators such as the number of Context items and Routines in a space. It also includes audio and video calls with transcription and recording: the site shows a video call with a recording timer and a live transcript capturing who said what. Presence is continuous, so you can see who is online and what they are doing, and the meeting conversation flows directly into the office's shared context rather than being trapped in a separate app. Beyond communication, Velozity includes the operational tools teams juggle every day. There is a task system with a Smart and Fast AI task mode: Smart checks your existing tasks first and can update one, mark it done or flag a duplicate while picking the assignee and project, while Fast always creates a new task and never looks at existing ones. Tasks can be typed or spoken, with a voice recorder that opens in a small window, and they support due dates and priority. A booking calendar shows a week view of standups, demo calls, design sessions and one-to-ones, and tasks appear in grouped states such as in progress, open and completed. Files and docs live inside spaces, and Guest Pass Management lets you create and manage external guest access with validity options of 7 days, 30 days, unlimited or one-time use, with a Reception where the guest waits until you let them in. Velozity's defining capability is its agents. You use the AI subscription you already pay for, with Claude Code, Codex and Grok shown, to create your agents, and your whole team can tag their own agents in the same conversation. The site demonstrates named agents such as Jack (designs interfaces), Hulky (builds and ships code), Snoop (digs up research), Kai (prototypes screens) and Monkey (writes product copy) all working inside one space. You can spawn a department and watch it run: Engineering triages bugs, opens the fix, gets it reviewed and writes the release note; Marketing plans a campaign, writes it, designs it and reports what it brought in; Sales finds leads, writes the first email and books the demo in your diary; Customer Support answers tickets, escalates real bugs and keeps the customer posted; Finance reads invoices, matches them to orders and lines up the payment run; and HR & People screens CVs, books interviews and has the offer ready. Each department runs with four agents. Crucially, nothing is sent, paid or signed without you. Agents can run on this device or on a cloud computer. A cloud computer keeps agents working 24/7: the example shows Aria answering and following up support tickets overnight while your laptop is asleep, and capturing and qualifying unlimited leads all day. Velozity also ships Speed, its built-in agent that is on your team from day one and needs no Claude Code or Codex subscription. Speed reads your sources such as email, transcripts and files; creates tasks with a priority and due date; captures tasks from transcripts and email; performs deep research that answers questions from your own data; and delivers a morning brief every day at 8 covering what is due, who is waiting and what is on your calendar. Velozity connects to 100+ integrations and pairs them with a cloud computer for legacy apps. Documented integrations include Gmail (reads and sends email), Jira (captures and tracks issues), GitHub (tracks pull requests), Google Sheets (reads and writes rows), Google Drive (finds the right document), Outlook (reads and sends email) and Google Calendar (finds a slot and books it). Where there is no integration, for example Tally, your agent simply uses the app on a cloud computer. The shared context, sometimes framed as a Company Brain, means agents can answer questions such as where the team landed on a customer's pricing by checking calls and docs. The site illustrates an end-to-end flow: a customer email arrives at 09:12, a bug is captured in Jira at 09:13, a refund is posted in Tally at 09:20 with no integration needed, a fix is merged on GitHub at 11:48 and the customer gets a reply at 11:50. The benefits described on the site are practical and measurable from user stories. Consolidating work tools is said to save $214 per user per month, deliver 97% less tool switching, produce 85% less friction in day-to-day collaboration, make team coordination 4X quicker and enable 10X smarter collaboration powered by AI. Because Velozity uses the AI subscriptions you already pay for, there is no second AI bill, and because everything happening in the office is shared context, you do not waste time switching between apps and meeting notes are ready without anyone writing them manually. Founders get complete visibility and accountability without micromanaging, and remote-first teams get a virtual office that makes distributed work feel like working side by side. Velozity suits startups and teams working in development, product, sales and operations, as well as solo users juggling several AIs. Concrete scenarios shown on the site include a support agent resolving tickets around the clock on a cloud computer, a sales agent capturing and qualifying leads throughout the day, an engineering department triaging bugs and shipping fixes and release notes, a finance agent reconciling September invoices against payouts, a hiring agent screening curator portfolios, and a social and content studio pulling the last 30 days of X and LinkedIn performance. It is free to start with no card needed, and guests can be given time-limited or unlimited passes. Ultimately, Velozity positions itself as one office for your people and your agents: calls, presence, tasks and transcripts in the same window, every agent sharing the same context, and the ability to bring your own AI subscription. For teams tired of tool fatigue and of re-explaining context to isolated AIs, the Multiplayer AI Office aims to make remote work feel like working together, side by side.