The web is quietly entering a phase shift. For three decades, building a website meant a human dragging blocks around, writing HTML and CSS, or configuring a CMS theme. Now, increasingly, it means something very different: you tell an AI agent what you want, and it plans, designs, writes, and deploys the site for you, then keeps evolving it over time. “When AI agents build your site” is no longer a speculative slogan; it’s the emerging default for a growing share of new projects.
This transformation is not happening in a single leap. It’s unfolding across consumer website builders, research prototypes, enterprise cloud platforms, and new web standards explicitly designed for agents instead of humans. From Wix’s Harmony and Mobirise AI to ambitious visions like Internet of AgentSites, the stack is being reimagined so that agents, not humans, are often the primary actors. Understanding this shift is essential for founders, marketers, and developers who are planning what their web presence should look like in the next five years.
The Rise of AI Website Builders: From Demos to Production Agents
AI website builders have evolved from novelty demos into core, strategic products. In 2023 and 2025, coverage of Wix’s AI Site Generator emphasized how it could create an entire website, images, text, layout, based on a short description. By March 2025, CNET named Wix the “best overall website builder,” explicitly citing these AI capabilities as part of the reason, underscoring that end‑to‑end AI site generation has moved firmly into the mainstream for non‑technical users.
This is disruptive enough that, in August 2025, Wix publicly cited “threats to its core website‑building business from artificial intelligence” when announcing diversification into banking services. When a leading web platform reorients its roadmap because AI‑driven site creation is both an opportunity and an existential threat, it’s a signal that we’ve crossed a structural threshold. AI is no longer an add‑on feature; it’s reshaping the entire business model of web platforms.
Earlier entrants laid important groundwork. Jimdo’s Dolphin AI builder, launched back in 2018, pioneered questionnaire‑driven site construction for non‑experts. By asking users a handful of questions and optionally pulling images from social media, Dolphin could create “a totally personalized website” with prefilled text and photos. This pattern, conversational intake followed by automated layout and content, is exactly what today’s agents iterate on, just with far more powerful models and a much richer sense of design and context.
Harmony and the Age of Conversational Redesign
In January 2026, Wix took a decisive step into the agentic future with the launch of “Harmony,” announced as an AI website builder that “merges human and artificial intelligence.” Harmony combines agentic technology, generative design, and what Wix calls “vibe coding,” layered on top of its robust site architecture. Crucially, Harmony is not just a site generator; it’s a production‑grade AI agent layer that can safely modify live websites without breaking their underlying structure.
At the heart of Harmony is Aria, a built‑in AI agent that can perform complex tasks through natural language. You can ask Aria to update color schemes, redesign layouts, add or reconfigure e‑commerce features, or generate new sections and pages, all through conversation. Aria operates within Wix’s existing guardrails, so the agent’s actions are constrained by the platform’s component model. This design keeps agent‑driven changes stable and reversible, which is essential for production use.
Harmony also embraces a hybrid workflow: you can generate entire sites, sections, or pages from prompts, then refine the results with Wix’s familiar drag‑and‑drop interface. This dual mode, agentic automation plus manual precision, illustrates what “AI agents building your site” actually looks like for typical users. You retain creative direction and editorial control, while offloading the tedious, structural work to an agent that understands both design patterns and your business objectives.
AI‑Native Builders: From Prompts to Fully Hosted Sites
While incumbents like Wix are layering agents onto existing platforms, AI‑native builders are emerging that assume agents own the entire initial build. Mobirise AI is a representative example. Introduced in April 2024 as an online AI‑powered website builder, Mobirise AI “uses generative artificial intelligence to design, create content for, and host a complete website based on user‑provided text prompts.” The user experience is intentionally minimal: you describe what you need in plain language, and the system plans and assembles a complete site.
Reviews in 2025 describe Mobirise AI as a “free AI website builder” that can quickly produce mobile‑friendly sites without traditional design work. This marks a clear evolution for the Mobirise product line, which started as an offline drag‑and‑drop builder in 2015 and gradually moved to fully online, AI‑driven building by 2023, 2024. In the AI‑native model, the agent is responsible not just for content and layout, but for stitching together hosting, responsiveness, and performance best practices automatically.
These AI‑native flows illustrate a broader trend: the initial draft of your site, structure, copy, imagery, navigation, is increasingly assembled by machines. You may still customize and iterate, but the starting point is no longer a blank canvas or a static theme; it is an agent’s best first attempt. This shifts human effort from constructing fundamentals to curating, editing, and steering higher‑level strategy and brand voice.
No‑Code Web Builder Agents: Designing the Builder, Not the Site
A parallel shift is happening on the tooling side: instead of just building sites, people are building the agents that build sites. Tars, for example, promotes a “Web Builder AI Agent” template that lets users “automate website creation without coding expertise” and “transform your web development process into simple conversations that deliver professional websites instantly.” This template is marketed as a reusable agent pattern, not just a one‑off wizard, making “web builder AI agent” itself into a configurable product component.
Under the hood, Tars offers a no‑code AI Agent Builder: a visual, drag‑and‑drop interface for assembling multi‑step agent workflows. Rather than reasoning directly about HTML and CSS, designers and operations teams can orchestrate how the agent should gather requirements, generate layouts, request approvals, integrate with CMSs, and even hand off to human checkers. Building the orchestration logic becomes a design task in its own right, separate from classic front‑end engineering.
Commercial platforms branded simply as “AI Agent Builder” push this further, positioning themselves as full development environments for agents. They provide workflow graphs, testing frameworks, release management, secure integrations, and globally accessible agent deployments. For startups, web apps, and e‑commerce teams, this means you can visually compose agents that handle everything from code generation and deployment to monitoring and analytics. The “builder” you design is no longer a page layout tool, but a production automation system that continuously builds, edits, and optimizes your site.
From Websites to AgentSites: The Research Vision of an Agentic Web
Industry products are only one half of the story; research is sketching a much more radical reimagining of the web. The 2025 paper “Planet as a Brain: Towards Internet of AgentSites based on AIOS Server” argues that we are transitioning from an “Internet of Websites” to an “Internet of AgentSites.” In this vision, each “site” is essentially a host for AI agents rather than a static set of pages. Visitors, often other agents, submit tasks, and the site’s agents plan, act, and return solutions.
AIOS Server is introduced as an “AI Agent Operating System” that enables this model. AgentSites powered by AIOS can host and coordinate multiple agents using standardized protocols like the Model Context Protocol (MCP) and JSON‑RPC. A live Internet of AgentSites, AIOS‑IoA, is already deployed at planet.aios.foundation as a proof‑of‑concept. Here, the “site” is better thought of as a runtime environment for agent computation, with HTML as just one possible interface channel.
Closely related is the broader “Agentic Web” concept, described in the 2025 survey “Agentic Web: Weaving the Next Web with AI Agents.” The authors argue that AI agents are becoming the primary actors on the web, interacting directly with one another to plan, coordinate, and execute complex tasks on behalf of users. They define three core dimensions, intelligence, interaction, and economics, and highlight new dynamics like an “Agent Attention Economy,” where agents compete for computational resources and user tasks. In such an environment, a “website” is less a document and more an agentic service endpoint.
HTML and Protocols for Agents: VOIX, Skills, and Self‑Improving Browsers
If agents are to reliably build and operate sites, the web must expose clearer affordances for them. The 2025 work “Building the Web for Agents: A Declarative Framework for Agent‑Web Interaction” introduces VOIX, a web‑native framework that extends HTML with new tags like <tool> and <context>. These elements allow websites to declare machine‑readable actions and state explicitly, so agents can understand how to act without brittle scraping or guesswork.
A three‑day hackathon study with 16 developers demonstrated that VOIX can make it much faster to build agent‑enabled web apps. Participants rapidly created diverse, functional applications where agents could call tools, navigate state, and coordinate tasks. For AI agents that build or edit sites, frameworks like VOIX are critical: instead of reverse‑engineering DOM structures, they can read a declarative contract of what they’re allowed to do and how changes should be applied.
On the other side of the equation, agents themselves are becoming more adaptive. The SkillWeaver framework (2025) shows how web agents can autonomously explore unfamiliar sites, discover interaction patterns, and distill them into reusable “skills” exposed as APIs. Experiments on the WebArena benchmark and real‑world sites show SkillWeaver improves task success rates by 31.8% and 39.8% respectively, and transferring skills from stronger to weaker agents yields up to 54.3% improvement. Combined with browser‑level prototypes like Google DeepMind’s Project Mariner, which can interpret goals, plan steps, and navigate websites as a Chrome extension, these advances hint at agents that can both understand arbitrary sites and then turn that understanding into new, auto‑generated sites.
Industrial‑Grade Agent Stacks: From Coding to Deployment
For AI agents to own full site builds end‑to‑end, they must be competent coders, integrators, and operators. Model advances are making this increasingly viable. OpenAI’s GPT‑4.1, released to the API in late 2025, is optimized for “agentic coding.” It is significantly better than GPT‑4o at a range of software tasks, from frontend coding to reliably applying diff formats and using tools consistently. On the SWE‑bench Verified benchmark, GPT‑4.1 completes 54.6% of tasks versus 33.2% for GPT‑4o, and it can work over much larger codebases.
This level of reliability matters because real sites are not toy examples; they involve complex frameworks, legacy code, integrations, and deployment pipelines. An agent that can repeatedly generate and refactor production code, without introducing regressions, is a prerequisite for serious agentic web development. Models like GPT‑4.1 move us closer to agents that can translate a user’s vague requirements into concrete, tested, and deployed changes spanning frontend, backend, and infrastructure.
Cloud platforms are also evolving to make deploying site‑integrated agents easier. Google Cloud’s Vertex AI Agent Builder, updated in late 2025, added a more capable Agent Development Kit (ADK) with prebuilt plugins, including a “self‑healing plugin” to improve agent autonomy and resilience. Deployment can be triggered with a single ADK CLI command, and new dashboards give teams insight into token usage, latency, errors, and tool calls. A playground supports pre‑production testing, while features like Model Armor help with prompt‑injection detection. Collectively, these tools make it feasible to operate web‑facing agents in production environments where uptime, security, and observability are non‑negotiable.
Autonomous Orchestrators: Manus and Beyond
Most current AI website builders are still relatively bounded: they generate pages or perform scoped edits. But autonomous, general‑purpose agents are emerging that could orchestrate entire web projects from requirements to launch. Manus, developed by Butterfly Effect (later acquired by Meta), is often cited as one of the first widely publicized autonomous agents, described as capable of “independent thinking, dynamic planning, and decision‑making.” Media coverage in 2025 portrayed Manus as a “world‑first fully autonomous AI agent.”
While Manus is not dedicated to web development, it signals where the field is ed. A Manus‑like orchestrator could, in principle, interview stakeholders, define scope, choose whether to use Wix Harmony, Mobirise AI, or a custom stack, generate the necessary assets and code, configure hosting, run tests, set up analytics, and continue to iterate based on performance data. Instead of micro‑agents each handling a small slice of the workflow, a higher‑level agent could coordinate them all, escalating to humans only when needed.
At the same time, browser‑level research efforts such as Project Mariner blur the line between “developer” and “user” tasks. Because Mariner can interpret natural‑language goals, plan, and navigate arbitrary sites from within Chrome, a future version could both consume and construct web properties directly in the browser context. Imagine telling your browser‑agent: “Set up a landing page, integrate it with my email tool, and A/B test three lines,” and watching as it plans across platforms and agents to deliver the outcome.
When Your Visitors Are Agents: Analytics and the Agent Attention Economy
As agents become first‑class citizens of the web, they are not only building sites, they are also visiting them. A growing share of “traffic” is machine‑originated, mediated by LLM‑based agents acting on behalf of users. Limy, a New York startup founded in 2024, raised $10M in seed funding in January 2026 specifically to help brands “optimize for the era of AI agents.” By integrating with CDNs like Cloudflare, Limy tracks how AI agents from major LLM services interact with sites.
Limy’s platform links user prompts to conversions, identifying which prompts and agent pathways actually lead to purchases or other key actions. For marketers and growth teams, this reframes optimization: you’re not only designing for human eyeballs and clicks, but also for how your content is parsed, summarized, and recommended by upstream agents. The “Agent Attention Economy” described in the Agentic Web survey is becoming measurable and monetizable in practice.
For site owners, the implication is profound. When AI agents build your site, they also become part of your audience and distribution channel. Your SEO strategy must expand to “AEO”, Agent Experience Optimization, ensuring that your structure, metadata, and APIs are accessible and intelligible to the agents that increasingly mediate user journeys. In other words, the agents that help you create the site today will be among the most important “visitors” you design for tomorrow.
We are entering an era where “building a website” is less about assembly and more about orchestration. From Harmony and Mobirise AI to VOIX, SkillWeaver, and Vertex AI Agent Builder, the ecosystem is reorganizing around agents that plan, code, deploy, and refine your web presence continuously. Human creators don’t disappear, but their role shifts toward vision, constraints, and oversight, deciding what to build and why, while agents handle much of the how.
Looking a, the concept of a “site” itself will evolve. AgentSites and the Agentic Web suggest a future in which your “website” is effectively a living application runtime, hosting autonomous agents that transact, negotiate, and collaborate with other agents across the web. When AI agents build your site, they also prepare it for a world where your biggest partners, competitors, and customers may arrive not via browsers, but via their own agents. The opportunity now is to embrace these tools early, experiment responsibly, and design web experiences that are compelling, not just for humans, but for the agents who increasingly act on their behalf.