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111 Listings in AI Assistants Available
What is Gemini? Gemini is Google's multimodal AI assistant that handles text, images and files and connects to Google services. It is available on the web and as an app on Android and iOS, with a free tier and paid Google AI plans. Key capabilities of Gemini Multimodal understanding: Works with text, images and uploaded files. Google Workspace integration: Connects with Google apps such as Drive. Deep research: Runs longer research tasks and compiles results. Image and video generation: Creates images and video from prompts. File understanding: Reads and summarizes uploaded documents and images. How Gemini works Users chat with Gemini by typing or voice, attach images or files, and call on tools such as deep research or generation. Paid plans raise usage limits and unlock the more capable models. Developers reach the Gemini models through an API instead of the app. Who uses Gemini? Consumers, students and professionals who live in Google products use Gemini, along with developers building on the API. Android users also get it as a phone assistant. Gemini pricing Third-party sources report a free tier, Google AI Pro at $19.99 per month, and higher Google AI Ultra plans. Exact tiers and prices change with regional and promotional offers, and the vendor page was not readable for confirmation. Gemini alternatives ChatGPT is OpenAI's assistant, Grok comes from xAI, and Le Chat is Mistral's assistant. Gemini is distinguished by its link to Google Search, Workspace and Android.
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What is Manus? Manus is a general-purpose AI agent AI agent offering a general-purpose autonomous AI agent that plans and executes research, coding and multi-step tasks. Founded in 2025 and based in Singapore, Manus helps knowledge workers and professionals automate general-purpose AI agent work and get results faster. Key capabilities of Manus Autonomous task execution Web research Code and file creation Shareable results Multi-step task execution File and web tools How Manus works Manus takes text, files and URL as input and produces text, files and web pages. It is powered by Multiple LLMs (managed) models, with the vendor managing prompts, models and updates. It connects to tools such as Google Drive, Gmail, Notion and Slack, so the agent works inside existing workflows. Who uses Manus? Manus is built for knowledge workers and professionals. It suits teams that want autonomous task execution and web research without adding headcount, while keeping people in control of review and final decisions. Manus vs Genspark Manus is often compared with Genspark. Manus stands out for autonomous task execution and code and file creation. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Norm Ag? Norm Ag is an AI agronomist AI agent offering an AI agronomy assistant that helps farmers and agronomists with field decisions using farm data and research. Norm Ag helps farmers and crop advisors automate AI agronomist work and get results faster. Key capabilities of Norm Ag Agronomy Q&A Field data analysis Recommendation drafting Research-backed answers Crop advice in local languages Image-based diagnosis How Norm Ag works Norm Ag takes text and data as input and produces text and recommendations. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as WhatsApp, iOS, Android and John Deere Operations Center, so the agent works inside existing workflows. Who uses Norm Ag? Norm Ag is built for farmers and crop advisors. It suits teams that want agronomy Q&A and field data analysis without adding headcount, while keeping people in control of review and final decisions. Norm Ag vs Agmatix Norm Ag is often compared with Agmatix. Norm Ag stands out for agronomy Q&A and recommendation drafting. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Anchor Browser? Anchor Browser is a cloud-hosted browser platform that lets AI agents interact with websites like a human would. It automates tasks that need login, form submission and multi-step navigation on sites without an API. Key capabilities of Anchor Browser Humanized access: Recognized as human; Cloudflare Web-Bot-Auth verified. Parallel browsers: Scalable concurrent sessions. OmniConnect: End-to-end authentication and credential lifecycle. Built-in VPN: Enterprise VPN without third-party proxies. Web Action Cache: Keeps workflows deterministic. Bring your own cloud: Deployment option. How Anchor Browser works You define a task in natural language, Anchor optimizes configuration and AI usage, and you integrate through an SDK, MCP or automation platforms. The vendor claims 12x faster runs, 80x fewer tokens and 23x fewer errors than leading alternatives. Who uses Anchor Browser? Developers and teams building agents that act on authenticated websites. Integrations named include Composio, Google, LangChain, Coinbase, Cloudflare and 1Password. Anchor Browser pricing Free is $0 with 5 credits per month and 5 concurrent browsers. Starter is $50 per month, Team is $500 and Growth is $2,000. Every plan charges $0.10 per completed task and $1.00 per credit overage. Enterprise is custom. Anchor Browser alternatives MultiOn and Manus are consumer-facing web agents, and Magical automates repetitive web forms. Anchor provides browser infrastructure for your own agents.
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What is Wordware? Wordware is a natural-language agent building AI agent offering an AI-native IDE where teams build and deploy AI agents by writing in natural language. Founded in 2023 and based in San Francisco, California, USA, Wordware helps product teams and domain experts automate natural-language agent building work and get results faster. Key capabilities of Wordware Natural-language programming Agent deployment Multi-model flows Collaboration Multi-model support Agent templates How Wordware works Wordware takes text as input and produces text and actions. It is powered by Multiple LLMs (selectable) models, with the vendor managing prompts, models and updates. It connects to tools such as Slack, Google Workspace, Microsoft 365 and Salesforce, so the agent works inside existing workflows. Who uses Wordware? Wordware is built for product teams and domain experts. It suits teams that want natural-language programming and agent deployment without adding headcount, while keeping people in control of review and final decisions. Wordware vs MindStudio Wordware is often compared with MindStudio. Wordware stands out for natural-language programming and multi-model flows. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Farmer.Chat? FarmerChat is a free mobile farming assistant that gives agricultural advice through an AI-powered app, built and operated by Digital Green. Users ask about crops, livestock and weather. Key capabilities of Farmer.Chat Text, voice and photo queries: Ask by typing, speaking or uploading a photo Crop disease identification: Photo analysis to identify crop problems Planting guidance: Timing based on location and season Livestock health: Guidance on animal health questions Local weather: Weather information for the farmer's location Multilingual answers: At least 8 languages including Hindi, Kannada, Amharic, Hausa and Spanish How Farmer.Chat works A farmer shares a question by text, voice or photo and can share a location. FarmerChat analyzes the issue and returns same-day, location-aware guidance in the farmer's language, reflecting how farmers naturally speak. Who uses Farmer.Chat? FarmerChat is for smallholder and other farmers who need practical advice on crops and livestock, and the vendor says it serves millions of farmers globally. Farmer.Chat pricing FarmerChat is completely free to download and use. Farmer.Chat alternatives Alternatives include Kissan AI and Norm Ag for agricultural AI assistance. FarmerChat is a free app from the nonprofit Digital Green.
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What is Tencent Yuanbao? Tencent Yuanbao is a consumer AI assistant app developed by Tencent and launched on May 30, 2024. It is based on the Hunyuan large model and also offers DeepSeek R1, switchable in the same interface. Key capabilities of Tencent Yuanbao Model switching: Hunyuan and DeepSeek R1. Deep thinking mode: Math, long text and code. Voice and text search: Covers WeChat Official Accounts and Video Channels. Document analysis: PDF, Word, PPT, Excel and TXT. Image analysis: Upload images for questions. Writing and code: Generate copy and code. WeChat access: Add Yuanbao as a WeChat contact. How Tencent Yuanbao works Users ask by text or voice, upload files or images, and choose a model. Search results can show images, video, music and maps, and answers can use online search for timeliness. Yuanbao can read and summarize WeChat public account articles. Who uses Tencent Yuanbao? Chinese-language consumers, with deep ties to the Tencent ecosystem. This profile uses third-party reports because the vendor site loaded little content. Tencent Yuanbao pricing Third-party sources describe Yuanbao as free to use. The vendor site showed no price. Tencent Yuanbao alternatives ChatGPT, Claude and Gemini are global assistants with paid tiers, and Microsoft Copilot is built into Microsoft products. Yuanbao is tied to WeChat.
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What is Simular? Simular is an AI company founded by former DeepMind scientists to free people from digital labor. Its flagship Sai is a multi-agent platform that runs autonomous computers for repetitive screen-based tasks. Key capabilities of Simular Sai: Cloud-based autonomous computers with zero setup Agent S: Open-source computer-use agent framework on GitHub Simulang: Open-source scripting language for browsers, native apps and OS workflows Neurosymbolic AI: Vendor says it cuts token use by over 90 percent Personal and cloud: Runs on personal devices and cloud computers Team solutions: Teams, Enterprise, Sales, Finance, Marketing and Operations How Simular works Sai operates a computer like a person, clicking and typing across apps to complete tasks. Simulang lets you teach a workflow once and replay it in code. Agent S is the open research framework. Who uses Simular? Individuals, businesses and developers. The vendor says it was first to reach human level on OSWorld 1.0. Simular pricing Per search results of the vendor pricing page, Explore is free with a daily credit allowance, Pay as you go is $50 per month with 50,000 credits and Sai Unlimited is $500 per month. Verify current plans with the vendor. Simular alternatives Alternatives include Gemini, Microsoft Copilot and Suna. Simular is centered on autonomous computer use.
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What is Gemini for Google Workspace? Gemini for Google Workspace is Google's AI assistant built into Gmail, Docs, Meet and other Workspace apps. Gemini is now bundled into paid Workspace plans instead of being sold only as a separate add-on. Key capabilities of Gemini for Google Workspace Gemini in Gmail: AI assistant for email, included from Business Starter Gemini in Docs and Meet: Full assistance across Docs, Meet and more on Standard and above Gemini app: Access to Google's advanced models in the Gemini app Gemini Notebook: Included on Standard according to the plan page Enterprise-grade security: Stated on the Starter plan listing Expanded security and compliance: Additional controls on Enterprise How Gemini for Google Workspace works A user opens Gemini inside a Workspace app, asks for a draft, summary or answer, and Gemini responds using content the user has access to in that app. Google's plan page says Starter includes Gemini in Gmail with limited access, while Standard and Enterprise expand it to Docs, Meet and more plus the Gemini app. Who uses Gemini for Google Workspace? Organizations already on Google Workspace that want AI in daily email, documents and meetings without a separate product. Gemini for Google Workspace pricing The Google plan page shows INR pricing: Starter at 270 per user per month, Standard at 864 for the first 20 users for 12 months (list 1,080), and Enterprise custom, billed monthly. Third-party sources report USD rates on annual commitment of $7, $14 and $22 per user per month for Starter, Standard and Plus. Gemini for Google Workspace alternatives Alternatives include Microsoft 365 Copilot for Microsoft apps, Zoho Zia for Zoho users, and ChatGPT Enterprise for a standalone assistant.
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What is Wrtn? Wrtn is an AI super app from Wrtn Technologies, a company founded in 2021 in Seoul. It combines AI chat and search, writing assistance, image generation and AI character chat in one app, with a Korean-first experience. Press reports put it above 5 million monthly active users, and it lets users switch between multiple underlying models. Key capabilities of Wrtn AI chat and search: conversational search in Korean and other languages Writing tools: drafting and rewriting assistance AI characters: persona chat through its Crack service Image generation: creates images inside the app Model switching: access to several large language models Agent builder: Wrtn Agent OS lets users create agents without code How Wrtn works Users type or speak a request, pick a model or tool and Wrtn returns an answer, a draft, an image or a character conversation. Agent OS adds a no-code way for users and developers to build their own agents and apps. Who uses Wrtn? Consumers and creators in South Korea and Japan use Wrtn for study, writing and entertainment, with a business content generator listed separately. Wrtn pricing The vendor site could not be fetched, so pricing here comes from press coverage. Wrtn is reported to be largely ad-supported, with payment limited to some character customizations. Check the app for current plans. Wrtn alternatives Wrtn is compared with Mem and Lindy for AI assistants. Mem centers on AI notes, Lindy builds task agents, and Chinese models such as ERNIE Bot are regional competitors.
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What is Poke? Poke is an AI assistant that lives in familiar messaging apps: Messages, WhatsApp and Telegram. It describes itself as proactive, private and personal, connecting 30+ services such as Notion, Gmail and Google Calendar. The site notes Poke is joining Cognition. Key capabilities of Poke Messaging interface: chat by text or voice memo in Messages, WhatsApp or Telegram App connections: 30+ services including Notion, Gmail, Google Calendar, GitHub, Asana, Linear and Oura Proactive help: uses memory and connected apps to act without prompting Reminders and scheduling: create tasks and time-based reminders Drafting: draft emails and communications Recipes: shareable setups for integrations and automations Poke Kitchen: developer area for custom integrations How Poke works You send Poke a text or voice memo. It runs the request through its AI models, acts in your connected apps and replies by text. Recipes bundle integrations and automations that can be shared, and Poke Kitchen lets developers build custom integrations. Paid plans add frontier models and background automations. Who uses Poke? Poke is for individuals who want an assistant they can message like a contact rather than a separate app, including people who manage work in Notion, Linear or Asana and want reminders and drafts from chat. Poke pricing Free requires no credit card. Pro is $19 per month with frontier models and background automations. Ultra is $199 per month with the highest intelligence and priority support. Poke alternatives Alternatives include Martin for an assistant reachable by phone, text and email, Dex for personal CRM, and Kin as a personal AI companion.
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What is Lindy? Lindy is a no-code platform for building AI assistants that perform work across email, calendars, meetings and business apps. It uses a credit system and ships with more than 40 skills. Key capabilities of Lindy Email and inbox triage: Summarize, draft and sort messages. Meeting scheduling: Coordinate calendars and meetings. Meeting tools: Notes and follow-ups. 40+ skills: Prebuilt abilities included on all plans. 1,500+ integrations: Connect to business apps. Slack integration: Interact with agents in Slack. Pooled team credits: Credits shared across a team. How Lindy works You describe a task or build an agent in a no-code editor, connect your apps, and Lindy runs the work. Tasks consume credits: everyday asks cost 2 to 250, deep work 250 to 1,000 and big builds 1,000 to 2,500. When credits run low, credit-using actions pause until they reset. Who uses Lindy? Lindy is used by founders, operators and teams who want assistants for inbox management, scheduling and routine research. Enterprise adds HIPAA compliance with a signed BAA, SSO, SCIM and audit logs. Lindy pricing Free costs $0 with $50 in credits that last 7 days and no credit card required. Team starts at $29.99 per month for 3,000 credits, scaling to 1,750,000 credits at $9,999.50 per month, with top-ups at $10 per 1,000 credits. Enterprise is custom. Lindy alternatives Alternatives include Zapier Agents, which build automations across thousands of apps, Relevance AI, which focuses on multi-agent teams, and Motion, which combines scheduling with AI tasks.
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AI assistants are general-purpose, LLM-powered helpers that answer questions, draft content, automate tasks, and work across your tools and knowledge, for individuals and teams. This guide explains what AI assistants are, how they work, what matters, and how to choose one.
AI assistants are general-purpose, LLM-powered helpers that answer questions, draft content, automate tasks, and work across your tools and knowledge, for individuals and teams. This guide explains what AI assistants are, how they work, what matters, and how to choose one.
An AI assistant is a conversational, LLM-powered tool that helps with a broad range of work: answering questions, writing and summarizing, analyzing documents, and increasingly taking actions across connected apps and data.
Unlike narrow single-task bots, assistants are general-purpose and extensible, grounded in your knowledge, connected to tools via integrations, and often customizable with custom instructions, skills, or agents.
The category spans consumer and enterprise assistants, embedded copilots inside productivity suites, and platforms for building custom assistants over company knowledge. Buyers weigh capability and accuracy, knowledge grounding, data security, and integration with their stack.
A user asks a question or gives a task in natural language; the assistant uses an LLM, optionally grounded in your documents and connected apps, to respond, generate content, or take actions, maintaining context across the conversation.
Platforms combine one or more LLMs, retrieval grounding over your knowledge, tool/app integrations, and controls for permissions and safety, often with customization via instructions, custom assistants, or workflows.
Individuals and teams connect knowledge sources and apps, configure custom assistants and permissions, and use the assistant for daily work, with admins governing access, data, and usage.
Answer questions, draft and edit content, summarize, and brainstorm across any topic or task.
Ground responses in your documents and data so answers are accurate and company-specific.
Connect to your apps to retrieve information and take actions, not just chat.
Create tailored assistants with custom instructions, knowledge, and capabilities for specific roles.
Work with text, documents, images, and increasingly voice and data files.
Permissions, data controls, and audit for safe team and enterprise deployment.
A single assistant accelerates writing, research, analysis, and everyday knowledge work.
Grounded assistants answer from company knowledge so people find information fast.
Connected assistants take actions across apps, reducing manual steps.
Custom assistants tailor capabilities to teams and workflows.
Bring answers and actions into one interface instead of juggling apps.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| General-purpose assistants | Broad Q&A, writing, analysis | Any | Versatile, easy to adopt | Generic without grounding |
| Enterprise knowledge assistants | Answers grounded in company data | Mid-market to enterprise | Accurate, secure, governed | Setup and data connection |
| Embedded copilots | AI inside productivity/SaaS suites | Any | In-context, no switching | Tied to one ecosystem |
| Custom assistant platforms | Build tailored assistants/agents | SMB to enterprise | Fit to specific workflows | Requires configuration |
Technology: Technology teams use AI assistants to answer questions from company knowledge, draft and analyze content, and automate tasks across their tools, with governance over data and access.
Healthcare: Healthcare teams use AI assistants to answer questions from company knowledge, draft and analyze content, and automate tasks across their tools, with governance over data and access.
Financial Services: Financial Services teams use AI assistants to answer questions from company knowledge, draft and analyze content, and automate tasks across their tools, with governance over data and access.
Retail & E-commerce: Retail & E-commerce teams use AI assistants to answer questions from company knowledge, draft and analyze content, and automate tasks across their tools, with governance over data and access.
Education: Education teams use AI assistants to answer questions from company knowledge, draft and analyze content, and automate tasks across their tools, with governance over data and access.
Professional Services: Professional Services teams use AI assistants to answer questions from company knowledge, draft and analyze content, and automate tasks across their tools, with governance over data and access.
Manufacturing: Manufacturing teams use AI assistants to answer questions from company knowledge, draft and analyze content, and automate tasks across their tools, with governance over data and access.
Media: Media teams use AI assistants to answer questions from company knowledge, draft and analyze content, and automate tasks across their tools, with governance over data and access.
Test on your real tasks and questions; evaluate response quality, reasoning, and grounding accuracy.
Confirm it can connect to and accurately answer from your documents and data.
Check connections to your apps and whether the assistant can take actions, not just chat.
Verify data controls, permissions, no-training guarantees, and admin/audit features.
Assess custom assistants, instructions, and workflow building for your roles.
Understand per-seat or usage pricing and how it scales across the team.
Assistants are evolving into agents that complete multi-step tasks across apps with oversight.
Deeper, secure grounding in company knowledge is making answers accurate and trustworthy.
Multimodal and voice interfaces are broadening how people work with assistants.
Buyers should prioritize capability and grounding accuracy, integrations and actions, strong security and governance, and customization.
An AI assistant is a general-purpose, LLM-powered tool that helps with a broad range of work, answering questions, writing and summarizing, analyzing documents, and increasingly taking actions across connected apps. Unlike narrow task bots, assistants are extensible and can be grounded in your knowledge and customized with instructions and skills, available as consumer tools, enterprise assistants, embedded copilots, and custom-build platforms.
Chatbots are typically built for a specific purpose like customer support and a defined audience. AI assistants are general-purpose helpers for a wide range of tasks, often for internal users, with broader capabilities, knowledge grounding, app integrations, and customization. The line is blurring as both grow more capable, but assistants emphasize versatility and action across tools.
Enterprise assistants can connect to and ground answers in your documents, wikis, and data so responses are accurate and company-specific rather than generic. This requires secure integration and proper permissions, confirm how the assistant retrieves, secures, and controls access to your knowledge before connecting sensitive data.
Reputable enterprise assistants offer encryption, SSO, role-based permissions, audit logs, and no-training guarantees on business data. Security varies widely, especially between consumer and enterprise tiers, so confirm data handling, residency, and governance controls before deploying across a team.
Increasingly, yes. Through app integrations, assistants can retrieve information and perform actions, creating records, sending messages, updating systems, and agentic assistants can complete multi-step tasks. The depth of integration determines what's possible, so verify the specific actions and apps you need are supported.
Assistants are built on large language models, and some platforms let you choose among models or use the latest frontier models. Model choice affects capability, speed, and cost. If model flexibility matters, confirm which models are available and whether you can select or switch them.
Common models are per-seat subscriptions, usage-based (tokens or messages), or as features within productivity suites, often with tiers for advanced models, knowledge grounding, and admin controls. Estimate your team size and usage, and weigh grounding and governance features alongside cost.
Prioritize capability and accuracy on your real tasks, knowledge grounding, integrations and the ability to take actions, security and governance, customization, and pricing. Decide whether you need a general assistant, an enterprise knowledge assistant, or a custom-build platform, and trial it on real workflows before rolling out.