Puente OS vs v0: Comparison and When to Use Each

An AI interface generator is a tool where you describe a screen, upload a sketch or paste a design, and an agent writes the code for the interface and for the app behind it. Puente OS is the platform that builds the systems that run your business: apps, workflows, databases and agents that read from your systems, cross-reference the information none of them holds in full, decide on your rules and execute the action inside them. The screen is the part your team touches, and the rest of the system is what makes every click move the operation.

I'm Cris Ugarte, CEO and co-founder of Puente OS. We work with retail, eCommerce and logistics companies in Chile, Peru and Mexico, and when a team sees the exceptions inbox or the margin dashboard it uses every day, someone usually asks whether that screen could be generated in v0. The short answer is yes, the screen could: v0 generates excellent interfaces, and fast.

The next question is what it takes for that screen to show real data, apply your rules and write back to your systems every day. Here I go through what each one does, with public sources for everything I say about v0, and when each one makes sense.

What is v0 and what does it solve?

v0 is Vercel's AI agent for building interfaces and web apps. Its home page presents it as "Build Full-Stack Web Apps with AI," opens with the question "What do you want to create?" and sums up the product as "Generate working applications in minutes with AI. Publish as live websites in seconds." Its documentation defines it as an agent that helps anyone create real code, full-stack apps and agents, and it speaks to product managers, designers, engineers, data scientists, marketing, support and founders.

What it offers, according to its website and its documentation:

High-fidelity interfaces. v0 creates interfaces from a description, a wireframe, a mockup, a screenshot or a Figma file, and its template gallery brings together community landing pages, dashboards, components and apps to start from.
Design Mode. With Design Mode you select any element in the live app, adjust typography, colors, spacing, borders and shadows in a visual panel or with a natural-language instruction, and v0 applies the change to the code as a new version. It recognizes Tailwind and suggests compatible values.
Real, editable code. The Code tab shows the whole project, lets you edit it by hand and comment on lines as context for the next prompt. Every agent response creates a version you can compare and restore.
The Next.js standard. For full-stack apps, v0 defaults to Next.js, with React Server Components, server actions and API routes, and it works with Tailwind and shadcn/ui. It can work with your own design system so interfaces follow your brand.
An agent that tests and fixes. According to its agentic features page, v0 searches the web, opens the app it builds to use and review it, runs commands in an isolated sandbox and fixes code and deployment errors.
Data and integrations. From the Vercel Marketplace it adds databases like Neon, Supabase, Upstash and Vercel Blob, and payments with Stripe. It has its own integrations with Shopify, for stores that read the catalog live, and with Snowflake, for data apps. With Vercel Connect, in beta, the apps and agents it generates connect to Slack, GitHub, Notion or Salesforce, and with MCP servers the agent uses tools like Linear, Notion or Sentry while it builds.
GitHub and Vercel. With GitHub sync, each chat works on its own branch, with a preview, a pull request and CI, and follows the repository's branch protection rules. Publishing deploys to Vercel with your own domain, configurable visibility and preview deployments per branch.
API and MCP. The v0 API brings its agent into other products and workflows, and its MCP server lets you create and deploy v0 apps from editors like Cursor or VS Code.
Teams and Enterprise. Teams share chats, version history and internal templates. On Enterprise it adds differentiated roles (Builder, Creator and Viewer), provisioning from your identity provider and control over chat visibility, and its security page details SAML SSO, audit logs, opting out of model training and v0's inclusion in Vercel's SOC 2 Type 2 attestation.

In February 2026, Vercel introduced the new v0, which imports existing repositories into a sandbox, creates a branch per chat and adds secure connections to Snowflake and AWS databases, built also for product, design, data and go-to-market teams.

A well-designed screen, with standard code, published in minutes on Vercel's infrastructure: that is v0's job, and it does it very well.

What is Puente OS and what does it solve?

Puente OS is the platform that builds the systems that run your business. Your ERP records what happened. Your BI shows you what happened. Puente makes it happen. In your stack it is the system of action: it reads from your systems, cross-references the information none of them holds in full, decides on your rules and executes the action inside them.

What it builds comes from four pieces:

Apps where your team reviews, decides on and approves the exceptions.
Workflows with explicit, auditable rules that start on their own when data changes or at a set time.
Databases that bring together context from several systems: the order, its receipt, its shipment and its settlement in a single record.
Agents for the steps that take judgment, like an ambiguous complaint or a discrepancy that needs investigating.

With Puente OS you describe in natural language what your operation needs and get software running: apps, workflows, databases and agents. Puente's Growth Ops team designs each process with you, builds it and maintains it, and each one reaches production in 2 to 4 weeks. Puente acts on your systems, and where the operation lives in spreadsheets, it also keeps the record.

The discipline behind it is autonomous operations design: designing your operation so the repeatable work runs on its own, on your rules, and your team decides what takes judgment. For a closer look at the layer, see what a system of action is.

What sits behind the screen your team uses?

Behind every screen that runs a process there are four layers: the data it shows, the rules that decide, the connections that write back and the work that runs while nobody is looking at it. The screen is the face of the process, and those four layers are its body.

Take the inbox where finance reviews the discrepancies from a marketplace reconciliation in Chile:

The data it shows. Each row brings together information from three or four systems: the marketplace order, its settlement, the receipt from the invoicing system and the payment that reached the bank. Someone has to bring that data in, match it and have it ready before the screen shows it.
The rules that decide. Most discrepancies have a known explanation: a commission, shipping charged separately, a partial return. Those rules resolve the bulk of the cases, and the inbox receives only what doesn't match.
The connections that write back. When finance approves an adjustment, the system records it in the ERP or prepares the document in the invoicing system, with a person's confirmation before it is issued.
The work that runs on its own. Settlements arrive at any hour. The process reads them, matches them and applies the rules as they come in, and the screen starts the day with that day's list.

When those layers live in different tools and with different people, coordinating them eats up your team's hours: that is the coordination tax. An autonomous operation meets three conditions: work starts on its own when data changes, your systems talk to each other with no person in the middle, and the system executes the clear cases and brings you what takes judgment. A great interface makes the third one comfortable for your team, and all three hold when the screen lives inside the system that runs the process. Puente OS delivers all three together, on a single platform.

How do Puente OS and v0 compare, dimension by dimension?

Dimension by dimension:

What it delivers. v0: the code for the interface and the web app, in Next.js and React, ready for your GitHub repository and deployed on Vercel. Puente OS: the process working end to end, with its apps, workflows, databases and agents on a single platform, in production.
Who builds. v0: anyone on the team, working with the agent, refining the interface in Design Mode or editing the code in the Code tab; several people share chats, versions and templates. Puente OS: the Growth Ops team builds each process with you. You describe in natural language what your operation needs and get software running, and every activation or irreversible change goes through your confirmation.
Interface. v0: its great strength. High-fidelity interfaces from text, sketches, screenshots or Figma, visual editing in Design Mode, your own design system and the Tailwind and shadcn/ui standard. Puente OS: web apps tailored to each process, hosted on Puente with their own link, where your team reviews, decides on and approves the exceptions, like a discrepancy inbox for finance or a stalled-shipments dashboard for operations.
Process design. v0: an agent that plans and creates the tasks to build what you asked for, and that also helps write the product requirements document. Puente OS: design is part of the work. Growth Ops maps what triggers each process, what it decides and what its exceptions are, and defines with you what happens to each one: the system resolves it or it reaches the right person with full context.
Data. v0: Vercel Marketplace databases like Neon, Supabase and Upstash, which the agent connects and for which it generates and runs SQL; it also reads Snowflake tables. Puente OS: your business databases, with typed columns validated before saving, queries with filters, grouping and aggregation, loads of up to 10,000 rows in a single operation and columns encrypted at rest for sensitive data. The apps, workflows and agents of the same process read and write them.
Integrations. v0: the Vercel Marketplace (databases like Neon, Supabase and Upstash, and payments with Stripe), Shopify, Snowflake, Vercel Connect in beta for Slack, GitHub, Notion and Salesforce, and MCP servers; any other API connects by storing its key as an environment variable and asking the agent for the code. In its documentation and the Vercel Marketplace, as of October 11, 2026, there are no connectors for Mercado Libre, Bsale, Defontana, the SII (Chile's tax authority) or Falabella; those services connect through their API with code the agent writes. Puente OS: native connectors for Mercado Libre (orders and shipping details), Bsale (stock and documents), Multivende, WooCommerce, WhatsApp, Gmail and Google Sheets, among others. The Growth Ops team connects the rest, like the SII, your invoicing system or your ERP, through its API, over HTTP or Python, or by reading the ERP's database.
Work that runs on its own. v0: with Vercel Connect, in beta, it generates agents that post to Slack on a schedule and bots that respond to events from those services. Puente OS: workflows that start from a webhook or a schedule, with explicit rules, iterators and per-step failure policies, and agents inside them for the steps that call for judgment. This is the process's background work, the work that leaves the screen with only the exceptions.
Versions and deployment. v0: a version for every agent response, with a diff and restore; in GitHub-backed projects, a branch per chat, a preview, a pull request and CI before publishing, and deployment rollbacks from Vercel. Puente OS: every workflow save creates a new version, and rolling back means activating the previous one; in apps, every publish is saved as a version, with earlier ones kept as history. Irreversible actions, like issuing a tax document, are designed in two steps: a draft and a person's confirmation.
Who maintains and responds. v0: the code lives in your repository and your Vercel project, and your team evolves it with the agent, which diagnoses and fixes failing builds and CI. Puente OS: the Growth Ops team maintains each process as your operation changes, with a new channel, a new rule or a report that changes format, and responds when something fails.
Security and governance. v0: generated code is analyzed and runs in isolated environments, environment variables are stored encrypted on Vercel, and on Enterprise it adds SAML SSO, roles, audit logs and opting out of model training, within Vercel's SOC 2 Type 2 attestation. Puente OS: each company operates in its own space, with its data isolated from other customers' data; each app is assigned the tables its process uses, with read, write and delete permissions; and every execution is recorded with the step where it stopped and, per step, the error, the traceback and the logs. Puente manages the platform where everything runs.

What does it look like in a real operation?

It looks like screens working on top of a complete system, on each customer's rules, with a team that maintains it. Two Puente OS customers:

Example 1: a multichannel electronics seller in Mexico, where the screen receives only the exceptions

An electronics seller in Mexico runs without an ERP, and Puente has seven of its sales channels connected. Behind its team's screens, every order follows its path on rules: the address is validated, the carrier is chosen by zone, cost and insurance, the label is generated and the tracking number is written to the order. What reaches a person goes into a support log, where every incident is recorded with its resolution.

Of the 38,628 orders processed between November 2025 and August 2026, 97.9% got their shipping label with no human intervention: 37,815 labels. Generating the labels for a cutoff went from 5 to 7 hours to 15 minutes, and monthly volume grew 40% with the same operations team. From August 1 to 12, 12 of 2,051 orders had an incident, 0.59%, with a median resolution time of 10 minutes. Other processes run around it with their own screens, like a report that consolidates 213,362 Mercado Libre orders via API and a competitor price capture that has collected 1,209,812 records and saves the team 33 hours a month. In all, that is 20 apps, 75 processes, 7 channels and 19 APIs, built in ten months by one person.

Example 2: a pet retailer in Chile, where every screen shows what the system calculated

A pet retailer sells on four channels. Its OMS (order management system) on Puente processed 56,597 orders between January and August 2026, and every shipment is measured against the delivery promise: 33,192 shipments measured and 85.0% on-time delivery among those not canceled, calculated against the courier's API. A workflow calculates the margin of every sales line each day: as of August 2026 it had covered 247,626 lines, and 3,830 of them, 1.5%, showed a negative margin that nobody saw before. Pricing decisions also go back to the store: 8,362 price changes executed in its online store from Puente.

It runs 10 apps in production for six departments, with 167 versions deployed, built and maintained by one person. The time from requesting a new process to having it in production dropped from 105 days, on the first project, to 7.

Why choose Puente OS?

Because you get the process working, with the screen and everything that makes it useful. v0 is an excellent tool for generating high-quality interfaces and web apps in minutes, on the Next.js standard and Vercel's infrastructure; Puente OS delivers the system behind and around that screen: your business data, the rules, the integrations with your ERP, your eCommerce, your marketplaces and your invoicing, the workflows and the agents, plus the app your team uses inside the process, all designed around your processes and built and maintained by the Growth Ops team. Six concrete reasons:

The screen comes with its system. Each app shares its database with the workflows and agents of its process, and shows data they have already brought in, matched and prepared. At the pet retailer in Example 2, that adds up to 10 apps in production for six departments, with 167 versions deployed.
It talks to your business systems, both ways. Puente has native connectors for Mercado Libre, Bsale, Multivende and WooCommerce, and the team connects your invoicing system, your courier or your ERP through its API, over HTTP or Python, or by reading the ERP's database. What gets decided goes back to your systems: the pet retailer has 8,362 price changes executed in its online store from Puente.
Your rules work while nobody is looking at the screen. Workflows with explicit rules handle the bulk of the work, agents take the steps that call for judgment and the app receives the exceptions. At the electronics seller in Example 1, 97.9% of orders go out with their label with no human intervention.
It's designed around your processes. Growth Ops maps what triggers each process, what it decides and what its exceptions are, and defines with you where each one goes before drawing the first screen. Each new process builds on the earlier ones: at the pet retailer, the time from requesting a process to having it in production dropped from 105 days to 7.
A team builds it, maintains it and responds. Growth Ops puts each process in production in 2 to 4 weeks, adjusts it when your operation changes and responds when something fails. At the electronics seller, from August 1 to 12, 2026, 0.59% of orders had an incident, with a median resolution time of 10 minutes.
You also describe it in natural language and get software running. Puente's AI is in how the whole system gets built: apps, workflows, databases and agents. That is how, at the electronics seller, one person built 20 apps and 75 processes in ten months.

That way your operation runs on your rules, and your team spends its time deciding what takes judgment.

When does each one make sense?

v0 fits when what you need is the interface or the web app, and you have a team that evolves it in its repository. Puente OS fits when you want your business process working end to end, connected to your systems, with a team that builds it with you and maintains it.

v0, if you want to launch a website, a landing page or a campaign page, turn a Figma design into code, prototype an idea in high fidelity to align your team, or build the frontend of a product of your own with a development team that works in Next.js and deploys on Vercel. Also if you're building a store on Shopify or a data app on Snowflake, which v0 connects natively. The quality of its interfaces, its speed, the Next.js standard and deployment on Vercel are real strengths.
Puente OS, if you want the process left running with its screens, its data, its rules and its agents, connected to Mercado Libre, Bsale, your invoicing system or your ERP, with a team that designs it with you, maintains it and responds when something fails. Also if you want your team to spend its time deciding the exceptions, and the next process to be added on the same platform.

How do you start?

With a process that hurts, with volume and manual handoffs: generating shipping labels, reconciling a marketplace or matching documents. With Puente OS, each process reaches production in 2 to 4 weeks.

Pick the process. With volume, manual handoffs and a visible cost when it fails.
Take the baseline. Cases per month, hours of manual work per week and the share of cases that come out right the first time.
Take inventory of what already runs. The screens, spreadsheets and scripts that touch that process, with what they do, who maintains them and which systems they use. That list defines what gets connected and what gets redesigned.
Connect the sources. Your ERP, your store, your marketplaces, your invoicing system, your courier and your bank statements.
Write down the rules your team applies from memory. For example: "if the marketplace settlement differs from the sale by a known commission, it adjusts on its own; if the difference is something else, it goes to finance with the order, the receipt and the payment in view."
Decide where each exception goes. The system resolves it, or it reaches a named person with full context in an App.
Measure from the first week and add the next process on the same platform.

That is autonomous operations design applied process by process: the repeatable work runs on its own, on your rules, and your team decides what takes judgment. To choose which steps go to a rule and which to an agent, this guide on how to implement AI in your business can help, and if you're comparing AI app builders, see Puente OS vs Replit and Puente OS vs Lovable.

We believe every company in Latin America can be operationally autonomous, and that starts with having every process running end to end, with its rules and a team that keeps it running.

Key takeaways

Vercel's v0 is an AI agent that generates interfaces and web apps with real code in Next.js, React, Tailwind and shadcn/ui, with visual editing in Design Mode, GitHub sync and one-click publishing to Vercel.
v0 adds databases and payments from the Vercel Marketplace, integrations with Shopify and Snowflake, Vercel Connect in beta and MCP servers; on Enterprise it offers roles, SAML SSO and audit logs.
Behind a screen that runs a process there are four layers: the data it shows, the rules that decide, the connections that write back and the work that runs on its own.
Puente OS delivers the complete system in production: apps, workflows, databases and agents on a single platform, designed around your processes, connected to your systems and built and maintained by the Growth Ops team.
Puente has native connectors for Mercado Libre, Bsale and Multivende, and Growth Ops connects the rest via API, such as the SII, your invoicing system or your ERP: at an electronics seller in Mexico, 97.9% of orders go out with their label with no human intervention.
v0 fits for websites, landing pages, prototypes and the frontend of a product with a development team. Puente OS fits when you want the process running end to end, in 2 to 4 weeks per process.

Want to see what sits behind the screens your team would use? Let's talk about your processes, and we'll show you Puente OS running with cases like the ones in this article. Book a conversation with our team.

Frequently asked questions

What is v0 and what is it used for?

v0 is Vercel's AI agent for building interfaces and web apps from natural language, sketches, screenshots or Figma designs. It generates code in Next.js and React with Tailwind and shadcn/ui, you refine it in Design Mode or in its code editor, and you publish it to Vercel in one click. It's used for landing pages, websites, dashboards, stores, internal tools, prototypes and product frontends, and it speaks to product, design, engineering, data and marketing teams, and to founders.

Does v0 also build an app's backend?

Yes. According to its full-stack apps documentation, v0 creates Next.js API routes and server actions, connects databases like Supabase, Neon or Upstash from the Vercel Marketplace and calls external APIs with keys stored as environment variables. With Vercel Connect, in beta, it also generates agents and bots that work on Slack, GitHub, Notion or Salesforce. Around that logic, Puente OS adds the process design, the integrations with your operation's systems and a team that keeps it running in production.

Does v0 integrate with Mercado Libre, Bsale or the SII?

In its documentation and the Vercel Marketplace, as of October 11, 2026, there are no connectors for Mercado Libre, Bsale, Defontana, the SII or Falabella. A service with an API can be connected by storing its key as an environment variable and asking the agent for the code, and that code stays in your project for your team to maintain. Puente OS has native connectors for Mercado Libre (orders and shipping details), Bsale (stock and documents) and Multivende, and the Growth Ops team connects the rest via API.

Does Puente OS also generate screens with AI?

Yes. With Puente OS you describe in natural language what your operation needs and get software running: the apps your team uses and also the workflows, databases and agents that feed them. That is how, at an electronics seller in Mexico, one person built 20 apps and 75 processes in ten months. Each app is born inside its process: it shares its database with the workflows and agents, connects to your systems and is maintained by the Growth Ops team.

What happens to what I already built in v0?

It goes into the inventory. The Growth Ops team reviews with you the screens, spreadsheets and scripts that touch each process, what they do and who maintains them, and decides which ones keep running where they are, like your website or your landing pages, and which processes get designed within Puente OS, with their data, their rules and their connections. Each process reaches production in 2 to 4 weeks.

External sources cited

Everything this post says about v0 comes from its website, its documentation, the Vercel blog and the Vercel Marketplace, reviewed on October 11, 2026. Puente OS customer figures are production measurements as of August 2026; label generation time, the hours saved on price capture and the request dates for each process come from follow-up with the customer.

v0: product

v0, home page: title "v0 by Vercel - Build Full-Stack Web Apps with AI"; opening question "What do you want to create?"; "Prompt. Build. Publish." block with "Generate working applications in minutes with AI. Publish as live websites in seconds"; GitHub sync, integrations, deployment to Vercel, Design Mode, templates, design systems, an agent that plans, creates tasks and connects to databases, and an iOS app.
What is v0? (v0 documentation): an AI agent that helps anyone create real code, full-stack apps and agents; high-fidelity interfaces from wireframes or mockups; one-click deployment; automatic error fixing; the roles it speaks to; works with Next.js, Tailwind and shadcn/ui.
FAQs (v0 documentation): landing pages, dashboards, eCommerce sites, data visualization tools and internal tools as examples of what gets built; iOS app.
Design mode (v0 documentation): selecting elements in the live app, a visual panel for typography, color, spacing, borders, opacity and shadows, natural-language instructions, Tailwind-compatible values and changes applied to the code as a new version.
Code viewer (v0 documentation): browsing, manual editing, search and comments on the project's code.
Versions (v0 documentation): a version for every agent response, with a diff and restore.
Design systems (v0 documentation): a custom registry to use a brand's design system with v0, Tailwind and shadcn/ui.
Figma (v0 documentation): integration with Figma files.
PRD design (v0 documentation): creating a product requirements document with v0.
Templates (v0 documentation) and the template gallery: community templates by category (landing pages, dashboards, eCommerce, AI, components) that can be forked and adapted.
Agentic features (v0 documentation): web search, browser use, automatic error fixing, commands in an isolated sandbox, Vercel Marketplace integrations (Neon, Supabase, Upstash, Stripe) and MCP servers.
Introducing the new v0 (Vercel blog, February 3, 2026): importing repositories into a sandbox, a branch per chat and pull requests, secure connections to Snowflake and AWS databases; product, design, marketing, engineering, data and go-to-market teams.

v0: data, integrations and deployment

Full-stack apps (v0 documentation): Next.js by default, React Server Components, API routes, connections to Supabase, Neon and Upstash, and Vercel Marketplace integrations.
Databases (v0 documentation): one-click integrations with Upstash, Neon, Supabase and Vercel Blob; Snowflake for data apps; generating and running SQL.
External APIs (v0 documentation): external APIs connected with keys stored as encrypted environment variables, per environment.
Vercel Marketplace: Vercel's integration catalog, with databases like Neon, Supabase and Upstash, and payments with Stripe. The catalog, reviewed on October 11, 2026, does not include Mercado Libre, Bsale, Defontana, Nubox, Falabella or the SII.
Shopify (v0 documentation): stores generated by v0 that read the Shopify catalog live through its APIs.
Snowflake (v0 documentation): apps and dashboards on Snowflake data.
Vercel Connect (v0 documentation): in beta; apps and agents connected to Slack, GitHub, Notion and Salesforce with managed credentials; agents that post on a schedule and bots that respond to events.
MCP Integrations (v0 documentation): your own or preset MCP servers (Linear, Notion, Sentry, Datadog, among others) as agent tools during generation.
GitHub (v0 documentation): a private repository, a working branch per chat, preview, pull request, CI and branch protection rules.
Deployments (v0 documentation): preview and production deployments on Vercel, domains, visibility and deployment rollbacks from Vercel.
Full v0 documentation index: reviewed on October 11, 2026; it does not mention Mercado Libre, Bsale, Defontana, Nubox, Falabella or the SII.

v0: API, teams and security

v0 API (v0 documentation): an API that brings v0's agent into other products, with code generation, previews, integrations and deployment to Vercel.
Use v0 from an MCP Client (v0 documentation): v0's MCP server for creating, editing and deploying apps from editors like Cursor or VS Code.
Teams (v0 documentation): shared chat and version history, team templates and chat visibility.
Enterprise (v0 documentation): v0 Builder, Creator and Viewer roles, provisioning from the identity provider with Directory Sync and Access Groups, and restricted chat visibility.
Security (v0 documentation): analysis of generated code and isolated execution, encrypted environment variables, SAML SSO, role-based access control, audit logs, opting out of model training and inclusion in Vercel's SOC 2 Type 2 attestation.

Puente OS vs v0: From the Interface to the System That Runs Your Business