Webthos | Empowered into Evolution Intelligent design that works
Find answers to common questions about using webthos.ai, our services, and how to get the most out of our platform.
Quick answers to common questions about webthos.ai
webthos.ai is a modern website building platform that lets you create professional websites using AI-powered tools. Whether you need a landing page, business website, or online presence, we provide everything you need to get started quickly and easily. Learn more about us.
Simply sign up for a free account, and you can start building your website immediately. Our AI assistant helps you create pages by simply describing what you want. Check out our step-by-step process to see how it works. No coding or design experience required—just tell us what you need! Contact us if you have questions.
We offer three plans: Free (for preview and testing), Basic ($12/month) for single-page sites with custom domains, and Pro ($24/month) for unlimited pages. Agency plan is available at $49/month for those building websites for clients.
Yes! With Basic and Pro plans, you can connect your own custom domain. We support most domain registrars and provide easy setup instructions. You can also purchase a domain directly through us.
Not at all! Our AI-powered interface lets you build websites by simply describing what you want in plain English. You can also click on any element to edit it directly. No HTML, CSS, or programming knowledge required.
Contact forms are automatically set up when you add them to your site. Form submissions are sent directly to your account email address. You can customize the form fields and override the recipient email in your site settings.
webthos.ai doesn't have built-in e-commerce, but you can embed third-party payment solutions like Stripe Checkout or PayPal buttons. Check out our guide to transforming your online store for more tips. Simply add the embed code to your pages, and customers can pay through those external services.
Yes! All websites built on webthos.ai are automatically mobile-responsive. They look great on smartphones, tablets, and desktop computers. You can preview your site in different device sizes right in the editor.
Once you're happy with your website, click the Publish button in your editor. Your site will go live on your chosen domain. On the Free plan, you get a preview URL. On paid plans, visitors can access your live site via your custom domain.
While we don't have native blog functionality yet, you can create blog-style pages manually and arrange them however you like. Check out our blog resources for content marketing tips. For full blogging capabilities, we recommend using a dedicated blogging platform and linking to it from your site.
Currently, websites are hosted exclusively on webthos.ai and cannot be exported. Your site stays live as long as you maintain your subscription. We handle all hosting, security, and updates so you can focus on your business.
Our AI assistant is always here to help! Just describe what you want to achieve, and we'll make the changes for you. Check out our additional FAQs for more answers. For additional support, you can contact us or email us at [email protected] and we'll get back to you promptly.
Understanding artificial intelligence and how it powers modern search
Artificial Intelligence (AI) refers to computer systems designed to perform tasks that typically require human intelligence. These include learning from experience, understanding natural language, recognizing patterns, solving problems, and making decisions. AI uses algorithms and large datasets to improve its performance over time without being explicitly programmed. Learn how AI is transforming business operations.
Machine learning is a subset of AI where systems learn from data rather than following explicit instructions. The system identifies patterns in training data and creates a model that can make predictions or decisions. As more data is fed into the system, it improves its accuracy. Common types include supervised learning (learning from labeled examples), unsupervised learning (finding patterns in unlabeled data), and reinforcement learning (learning through trial and error).
Natural Language Processing is a branch of AI that helps computers understand, interpret, and generate human language. NLP enables features like language translation, sentiment analysis, chatbots, and voice assistants. Modern NLP uses transformer models and large language models (LLMs) that can understand context, nuance, and even sarcasm in human communication.
Large Language Models are AI systems trained on massive amounts of text data. They learn language patterns, facts, reasoning abilities, and even some skills from their training. Check out our AI platforms comparison guide to learn more. LLMs can generate human-like text, answer questions, write code, summarize content, and engage in complex conversations.
Generative AI creates new content—including text, images, music, code, and video—based on patterns learned from existing data. Explore the future of AI to understand where this technology is heading. It works by understanding patterns in training data and generating new examples that follow similar patterns.
AI search engines combine traditional search technology with AI capabilities. They understand the intent behind your query, consider context from previous searches, and can interpret complex or conversational questions. Instead of just matching keywords, AI search analyzes meaning, synthesizes information from multiple sources, and provides direct answers with citations. Some AI search engines also use retrieval-augmented generation (RAG) to pull real-time information.
Semantic search understands the meaning and context of your search query rather than just matching exact words. It considers synonyms, related concepts, user intent, and even location context. For example, searching "why is my computer slow" will return results about computer performance issues even though those exact words might not appear in every result. Semantic search powers more intuitive and helpful search experiences.
AI hallucinations occur when an AI model generates information that sounds plausible but is actually incorrect, fabricated, or nonsensical. This happens because AI models predict likely next words based on patterns, not by verifying facts. While developers work to minimize hallucinations through techniques like retrieval-augmented generation and human feedback, users should always verify important information from authoritative sources.
Prompt engineering is the practice of crafting effective inputs to get better outputs from AI systems. It involves structuring questions clearly, providing context, specifying the desired format, and using techniques like few-shot learning (giving examples). Good prompts help AI understand exactly what you need, reducing irrelevant responses and improving accuracy. It's a valuable skill for getting the most out of AI tools.
AI is transforming industries by automating repetitive tasks, augmenting human capabilities, and creating new opportunities. Discover why avoiding AI will cost you in today's competitive landscape. The key is learning to collaborate with AI—using it as a powerful tool while applying human creativity, judgment, and empathy where they matter most.
Deeper insights into AI technology and best practices
RAG combines the power of large language models with real-time information retrieval. When you ask a question, the system searches a knowledge base or the web for relevant information, then uses that context to generate an accurate, up-to-date response. This helps reduce hallucinations and ensures the AI has access to current information beyond its training data cutoff.
Embeddings convert text, images, or other data into numerical vectors that capture semantic meaning. Words or phrases with similar meanings have vectors that are close together in the embedding space. This allows AI to understand relationships between concepts and find similar content. Embeddings power semantic search, recommendations, and many other AI applications.
Transformers are the architecture behind modern LLMs like GPT and BERT. They use "attention mechanisms" to process entire sequences of text simultaneously, understanding how each word relates to all others in context. This parallel processing allows them to capture long-range dependencies and context much better than previous approaches, enabling coherent long-form generation and understanding.
Fine-tuning takes a pre-trained AI model and trains it further on specific data to improve performance for particular tasks. For example, a general AI model can be fine-tuned on medical literature to create a medical assistant. Fine-tuning requires less data and compute than training from scratch while achieving better results for specialized applications.
Zero-shot learning means an AI can perform tasks it wasn't explicitly trained for, using general knowledge. Few-shot learning gives the AI a few examples in the prompt to help it understand the pattern. For instance, showing "Translate to French: Hello → Bonjour" examples before asking for a new translation. These techniques make AI more flexible without requiring retraining.
Tokens are the basic units AI models use to process text—roughly equivalent to 4 characters or about 3/4 of a word in English. When you interact with AI, you're consuming tokens based on both your input and the model's output. Understanding tokens helps estimate costs and context window limits, as models have maximum token capacities they can process in a single request.
AI bias occurs when AI systems produce unfair or discriminatory outcomes due to biased training data, algorithm design, or the way results are interpreted. This can lead to stereotyping, misrepresentation, or harmful decisions. Addressing AI bias involves diverse training data, bias detection, fairness testing, and human oversight to ensure equitable outcomes across different groups.
Multimodal AI can understand and generate multiple types of content—text, images, audio, video, and code—in a unified way. It can analyze an image and describe it, generate images from text descriptions, or process video with audio and subtitles together. This ability to work across different modalities makes AI more versatile and closer to human-like understanding.
Everything about our services, pricing, and how we can help
We accept all major credit cards (Visa, Mastercard, American Express, Discover), PayPal, and various local payment methods depending on your region. All payments are processed securely through Stripe with full PCI compliance. Subscriptions can be billed monthly or annually for additional savings.
Yes! You can upgrade or downgrade your plan at any time. When upgrading, you'll get immediate access to new features and any price difference will be prorated. When downgrading, the change takes effect at the end of your current billing period so you can continue enjoying your current features until then.
We offer a 14-day money-back guarantee for new subscriptions. If you're not satisfied with our service within the first 14 days, contact our support team for a full refund—no questions asked. Domain purchases, if applicable, are non-refundable as they are registered with registrars on your behalf.
You can cancel your subscription anytime from your account settings. Your website will remain accessible until the end of your current billing period. After that, it moves to an unpublished state but you can still access and edit it. If you decide to return, you can reactivate anytime without losing your work.
All users have access to our AI-powered chat support directly in the editor for instant help with website building. Email support is available for all paid plans with response times typically within 24 hours. Agency plan users also get priority support and access to our team for complex requests.
Yes! Our collaboration features let you invite team members with different permission levels—Admin, Editor, or Viewer. Admins can manage billing and members, Editors can modify content, and Viewers have read-only access. This is perfect for agencies managing client sites or teams working on marketing materials together.
The Agency plan offers white-label previews, allowing you to show clients a professional view without Landingsite branding. While we don't support full white-labeling of our platform itself, you can build beautiful client-facing websites and present them through clean preview links that look professional.
The Agency plan ($49/month) includes unlimited websites, 750 pooled AI edits per month, white-labeled previews, priority support, and the ability to create unlimited pages on any website regardless of that site's plan. Compare us to traditional agencies to see the benefits. It's designed for agencies building websites for multiple clients.
Absolutely! All paid plans allow commercial use. You can create business websites, e-commerce stores, portfolios, blogs, and any other commercial or personal project. The websites you build are yours to use for any legitimate business purpose. Just ensure you have proper rights to any content or images you use.
We continuously improve our platform with regular updates. New features, improvements, and bug fixes are rolled out regularly—often multiple times per week. We maintain our own CDN, SSL certificates, and infrastructure, so your sites are always fast, secure, and up-to-date without any action required from you.
Responsible AI use and guidelines for getting the best results
Always cross-reference AI outputs with authoritative sources—official documentation, peer-reviewed papers, or established institutions. For real-time events, check current news sources. Look for citations in AI responses and verify them directly. Develop a habit of fact-checking before acting on AI-generated information, especially for health, legal, financial, or safety decisions.
Key ethical considerations include transparency about AI use, avoiding plagiarism, respecting privacy, preventing bias amplification, and considering environmental impact of AI computing. Be honest about when AI assists your work, give appropriate credit, protect user data, and regularly evaluate whether AI is being used responsibly in your applications and business decisions.
Use AI to enhance human work, not replace human judgment. Be transparent with customers about AI use where relevant. Protect privacy and data security. Regularly audit AI outputs for bias or errors. Ensure accessibility for all users. Document how AI is used in your processes. Maintain human oversight on critical decisions and use AI as a tool to boost productivity while preserving human creativity and accountability.
AI content detection tools analyze text to determine if it was generated by AI or written by humans. They look for patterns typical of AI writing, such as certain word frequencies, sentence structures, and predictability. However, these tools are not 100% accurate and often produce false positives. Many platforms now consider AI-generated content acceptable as long as it's helpful and accurate for users.
AI systems handle data privacy through encryption, access controls, data minimization, and compliance with regulations like GDPR and CCPA. Read our privacy policy for details. Always review privacy policies and understand how your data is stored, processed, and protected before using any AI service.
Explainable AI (XAI) refers to AI systems that can provide clear, understandable explanations for their decisions and outputs. Instead of acting as "black boxes," these systems show how they arrived at conclusions, which helps build trust, enable accountability, and identify potential biases. XAI is especially important in high-stakes areas like healthcare, finance, and legal applications.
AI copyright and intellectual property laws are evolving. Generally, AI-generated content may have limited copyright protection depending on jurisdiction. Training data may raise IP concerns if used without proper licensing. When using AI to create content, be aware of these legal complexities and consult legal counsel for commercial applications. Using AI as a starting point with significant human modification is often viewed more favorably.
Training and running large AI models requires significant computational energy, contributing to carbon emissions. However, the AI industry is actively working on efficiency improvements. Many companies now use renewable energy, carbon offsets, and more efficient model architectures. When choosing AI tools, consider providers committed to sustainability and carbon-neutral operations.
Popular AI tools and how they're used across industries
ChatGPT is a conversational AI assistant developed by OpenAI, powered by the GPT (Generative Pre-trained Transformer) language model. It can engage in natural conversations, answer questions, help with writing, coding, brainstorming, and much more. Available in free and paid versions (Plus, Team, Enterprise), it serves millions of users across personal, educational, and business applications.
Claude is an AI assistant created by Anthropic, designed to be helpful, harmless, and honest. It excels at long-form content, nuanced reasoning, coding, and creative writing. Claude is available through API, web interface, and mobile app. It's known for its ability to handle very long documents and maintain coherent conversations across thousands of exchanges.
Gemini is Google's most capable AI model, designed to compete with GPT-4. It's natively multimodal, meaning it can understand and work with text, images, audio, and video seamlessly. Gemini is integrated throughout Google's products including Search, Workspace, and Android. It powers features like Gemini in Google Messages and provides advanced reasoning capabilities.
Perplexity AI is an AI-powered search engine that provides direct answers with cited sources. Unlike traditional search engines, it synthesizes information from multiple web sources to answer your questions comprehensively. It shows the sources it used, allowing you to verify information and explore further. It combines search engine capabilities with conversational AI for a unique research experience.
AI writing assistants like Grammarly, Jasper, Copy.ai, and Writesonic help users create better content. They can check grammar and spelling, suggest style improvements, generate content ideas, write drafts, optimize for SEO, and adapt tone for different audiences. Learn content marketing best practices to create content that converts.
AI image generators like DALL-E, Midjourney, Stable Diffusion, and Adobe Firefly create images from text descriptions. They can produce realistic photos, illustrations, artwork, and designs. Advanced versions understand complex prompts, multiple styles, and can edit existing images or expand them beyond their original boundaries. Used by designers, marketers, and content creators worldwide.
AI code tools like GitHub Copilot, Cursor, and Amazon CodeWhisperer assist developers by suggesting code completions, generating functions from comments, explaining unfamiliar code, finding bugs, and helping with refactoring. They dramatically increase developer productivity and help beginners learn programming. Professional developers use them to speed up repetitive tasks and explore new frameworks.
AI transcription services like Otter.ai and Descript convert speech to text with high accuracy. AI translation tools like DeepL and Google Translate provide instant translations between languages with increasingly natural results. These tools break language barriers for global communication, enable accessibility through captions, and help businesses reach international audiences efficiently.
How AI is transforming different sectors and business functions
AI in healthcare includes medical imaging analysis for earlier disease detection, drug discovery acceleration, patient triage and symptom checking, electronic health record management, drug interaction checking, and personalized treatment recommendations. AI helps radiologists spot cancers, enables remote patient monitoring, and supports clinical decision-making while maintaining patient privacy.
AI enables personalized learning paths adapting to each student's pace and style. Intelligent tutoring systems provide 24/7 homework help. AI automates grading for objective assessments. Language learning apps use AI for pronunciation feedback. Researchers use AI to analyze learning patterns. However, human teachers remain essential for mentorship, motivation, and addressing complex social-emotional needs.
AI-powered customer service includes chatbots handling routine inquiries, sentiment analysis to prioritize urgent issues, automated email responses, knowledge base suggestions for agents, voice assistants for phone support, and predictive analytics for demand forecasting. This reduces wait times, cuts costs, and allows human agents to focus on complex, high-value interactions.
AI marketing tools analyze customer data for segmentation and targeting, optimize ad spending in real-time, personalize content recommendations, generate copy and creative assets, predict customer churn, forecast demand, and automate email campaigns. AI helps marketers understand customer behavior at scale and deliver more relevant, timely, and effective campaigns across channels.
Financial AI applications include fraud detection by identifying unusual transaction patterns, algorithmic trading, credit scoring and loan approvals, risk assessment, insurance underwriting, chatbots for banking, portfolio management, regulatory compliance monitoring, and invoice processing. AI helps financial institutions reduce risk, improve efficiency, and provide better customer experiences.
AI optimizes manufacturing through predictive maintenance (preventing equipment failures), quality control via computer vision, supply chain optimization, demand forecasting, process automation, and robotic control systems. Smart factories use AI to monitor production in real-time, reduce waste, improve safety, and adapt quickly to changing demand—all while maintaining consistent quality.
Agricultural AI includes precision farming using sensor data and satellite imagery, crop health monitoring via drone analysis, automated irrigation and fertilization, yield prediction, pest and disease identification, autonomous tractors and harvesters, soil analysis, and weather forecasting integration. AI helps farmers increase yields, reduce resource usage, and practice sustainable agriculture.
Legal AI assists with contract review and analysis, legal research and case law discovery, document drafting, due diligence in transactions, compliance checking, contract abstraction, and predicting case outcomes. AI dramatically reduces time spent on document review and research, allowing lawyers to focus on strategy, client relationships, and courtroom work.
Essential AI terms and concepts explained simply
An API (Application Programming Interface) allows different software to communicate. AI APIs let developers integrate AI capabilities—like language processing, image recognition, or text generation—into their own applications without building AI from scratch. You send a request to the API, and it returns the AI's response, enabling seamless AI integration into websites, apps, and services.
A neural network is a computer system inspired by the human brain's structure. It consists of interconnected nodes (neurons) organized in layers that process information. Input data passes through hidden layers where patterns are detected, and output layers produce results. Deep neural networks with many layers power modern AI, enabling complex tasks like image recognition and language understanding.
Training data is the information used to teach AI systems. For a language model, this might be billions of web pages, books, and articles. For an image recognizer, it's millions of labeled photos. The quality and diversity of training data directly affects AI performance. Biased or limited training data can lead to biased or limited AI capabilities.
Inference is when a trained AI model uses what it learned to make predictions or generate outputs on new, real-world data. Unlike training (which happens once and uses lots of compute), inference happens every time you use an AI product. Optimizing inference means getting fast, accurate responses without excessive computational cost.
A chatbot is a program designed to simulate conversation with humans, either through text or voice. Basic chatbots follow scripted rules, while AI-powered chatbots use natural language processing to understand context, handle varied inputs, and provide more natural, helpful responses. They're used for customer service, sales support, information retrieval, and entertainment.
Computer vision enables AI to interpret and understand visual information from the world—images and videos. It powers facial recognition, object detection, medical image analysis, autonomous vehicle navigation, quality inspection in manufacturing, and more. Modern computer vision uses deep learning to achieve remarkable accuracy, sometimes surpassing human performance on specific tasks.
Reinforcement learning trains AI through trial and error with rewards and penalties. The AI learns which actions lead to positive outcomes and adjusts its behavior accordingly. This powers game-playing AI (like AlphaGo), robotics, recommendation systems, and scenarios where explicit training data isn't available. The AI discovers strategies humans might not think of.
Autonomous AI systems can operate independently to accomplish goals without constant human input. Examples include self-driving cars, autonomous drones, robotic process automation, and AI agents that can browse the web, use apps, and complete multi-step tasks on their own. They combine perception, reasoning, planning, and action to function in complex, changing environments.
Can't find the answer you're looking for? Reach out to our support team and we'll get back to you as soon as possible.