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Puente OS vs· 22 min read· Cris Ugarte, CEO of Puente OS

Puente OS vs Lovable: From Idea to App, and From App to a Process in Production

Lovable and Puente OS both build software with AI from what you describe in natural language, and they cover different stages. Lovable is a platform for taking an idea to a complete web app through a chat: it designs the interface, sets up the database and sign-in on Lovable Cloud, which uses Supabase's open-source foundation, reviews security before publishing and leaves the app hosted at a link. Puente OS delivers the system that runs your business already in production: each app lives inside the process that uses it, alongside that process's workflows, databases and agents, connected to your ERP, your store, your marketplaces and your invoicing system, designed around your operation and built and maintained by the Growth Ops team. Lovable takes you from the idea to the app; Puente OS takes you from the process to the running system.

Puente OS vs Lovable: From Idea to App, and From App to a Process in Production

An AI app builder is a tool where you describe what you want in everyday language and an agent writes the code, sets up the database and leaves the app published. 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. On Puente, each process is a system, and its apps are the part your team sees.

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 Lovable comes up often when we talk about building apps with AI: many teams know it or have already tried it. The question that follows is whether an app like that is enough to run a process, and it's a fair one, because Lovable builds well-designed apps very quickly and anyone can use it.

My answer is that Puente starts where the app meets the operation: the process the app has to move, the systems it has to read and write, the work that runs around it and the team that adjusts it as the business changes. Here I go through what each one does, with public sources for everything I say about Lovable, and when each one makes sense. If you've read Puente OS vs Replit, this post takes a different angle: what happens when an app goes from meeting a need to carrying a process.

What is Lovable and what does it solve?

Lovable is an AI development platform for building web apps in natural language. Its home page opens with the headline "Build something Lovable" and the subhead "Bring a new product, internal tool, or entire company to life." Its documentation defines it as "a full-stack AI development platform for building, iterating on, and deploying web applications using natural language."

It speaks to a broad audience: founders, product and design teams, developers and agencies, large companies, and operations, sales, marketing, finance and HR teams replacing spreadsheets and per-seat software with their own apps, according to its welcome page. Its home page reports 1.2 million new projects every week and 60 million projects built, and its interface is available in 11 languages, Spanish among them, according to its FAQ.

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

  • Three ways of working in the chat. In Chat mode you talk about the app without touching the code; in Plan mode, Lovable investigates the project and writes a plan you review, edit and approve before building; in Build mode, formerly Agent mode, it implements changes end to end and verifies the result. With a goal, it keeps working on a large task until it's done.
  • Editing on the preview. With the preview toolbar, which replaced Visual edits, you select an element on the screen and describe the change, edit text inline, draw an annotation or leave a comment. Design systems reuse components and styles across every project in the workspace.
  • Lovable Cloud. Every app comes with a built-in backend with a database, authentication, storage, realtime, functions and logs, built on Supabase's open-source foundation. The database is managed Postgres, with a records editor, SQL and daily backups kept for roughly 14 days. If you'd like to manage your own backend, you connect your Supabase project.
  • User sign-in. When you ask for login, Lovable generates the sign-up and sign-in pages and protects each user's data with per-record rules; it supports email, phone, Google, Apple, Microsoft and SAML SSO, according to its authentication page.
  • Hosting and domains. When you publish, the app goes live at its own address with HTTPS included, and you can use your own domain. What's published is a snapshot of the project: what you keep building reaches the live app when you publish again, according to its hosting page.
  • Payments. Built-in payments with Paddle or Stripe for subscriptions and purchases of digital products, and the Shopify integration for physical products.
  • Connectors. A catalog with tools like Slack, Notion, HubSpot, Salesforce, Google Workspace, Shopify, WooCommerce, Xero, Zoho Books, WhatsApp, Snowflake and BigQuery, which the published app can use while people work. Admins create custom connectors for any REST API, and Lovable can also write the integration directly into the code, for any API reachable from the internet.
  • Code and versions. Every change is saved as a version in the history, with rollback and bookmarks. Drafts let you try changes in a copy of the project before accepting them, and Git sync keeps the code in your GitHub, GitLab or Bitbucket repository, both ways.
  • Testing. With browser testing, the agent clicks, fills in forms and walks through flows with screenshots, and project monitoring, in beta, reviews the published app and emails you when it finds errors.
  • Security. A quick scan runs every time you publish and checks the database access rules, dependencies and exposed MCP servers; a deep scan reviews the app's full code, and the workspace can block publishing on critical findings. Optional connections add Wiz for static analysis and Aikido for AI penetration testing.
  • Teams and Enterprise. Several people build in the same workspace, each in their own draft. For companies, its Enterprise page adds SSO with OIDC and SAML, SCIM, roles and groups, publishing controls, scheduled deep scans, audit logs with SIEM forwarding and SOC 2 Type II and ISO 27001:2022 certifications.

One person with an idea, a well-designed app in an afternoon, and the database, login, security and hosting handled in the same place: that is Lovable'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 changes when an app starts carrying a process?

What surrounds it changes. While the app meets a need, it's enough for it to show and capture data well. Once it carries a process, it becomes one piece of something bigger: it has to read and write in the systems where the business lives, work alongside processes that run on their own, leave sensitive actions in a person's hands and adapt every time the operation changes.

Take returns for an online store that also sells on marketplaces in Chile:

  • The process design. Before the first screen, someone defines what triggers a return, which rules apply by channel, reason and product condition, and who resolves each exception. That process design is what decides whether the screen is useful.
  • Two-way systems. The request comes in from Mercado Libre or your store, the stock goes back to Bsale or your ERP, the credit note comes from your invoicing system and the pickup from your courier. The system reads from all of them and writes back: the status on the marketplace, the unit in inventory, the document in the ERP.
  • Work that runs on its own. Most returns are resolved by clear rules, at any hour. The app receives the ones that need a person, like a product that arrived damaged, with full context in view.
  • Actions that need a sign-off. Issuing a credit note is irreversible, so it's designed in two steps: the system prepares the draft and a person confirms it.
  • A system that evolves. A marketplace changes its API, the business opens a new channel, a returns rule gets adjusted. Someone sees the change, applies it and leaves the process running.

When those pieces 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 good app contributes to the third, and all three hold when the app lives inside the system that runs the process. Puente OS delivers all three together, on a single platform.

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

Dimension by dimension:

  • What you build. Lovable: complete web apps, from landing pages and customer portals to SaaS products with payments and internal tools. In its model, each project is one app, according to its welcome page. Puente OS: the system for each process, with its apps, its workflows, its database and its agents working on the same data. The next process is added on the same platform and builds on the connections and data already there.
  • Who builds. Lovable: whoever has the idea, working in Chat, Plan and Build modes, or pointing at the screen in the preview; several people can work in the same project, each in their own draft. 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.
  • Design. Lovable: first-rate visual design, with direct editing on the preview and design systems shared across projects. Puente OS: design starts with the process. Growth Ops maps what triggers it, 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. The apps are designed next, for the work that stays in your team's hands.
  • Data. Lovable: a managed Postgres database per app on Lovable Cloud, built on Supabase's open-source foundation, with a records editor, SQL, per-record access rules and daily backups kept for about 14 days; or your own Supabase project. 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. Lovable: a connector catalog with Slack, Notion, HubSpot, Salesforce, Google Workspace, Shopify, WooCommerce, Xero, Zoho Books, WhatsApp, Snowflake and BigQuery, among others, plus custom connectors for any REST API and integrations the agent writes into the code. In its catalog and the rest of its documentation, 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 a custom connector or 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. Lovable: Jobs, scheduled backend tasks with their run history, and edge functions for server-side logic; the app can also add AI features, like summaries or assistants, with its AI connector. 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 app with the exceptions.
  • Versions and rollback. Lovable: a version for every change, with preview, rollback and bookmarks, drafts for trying changes in a copy and two-way Git sync. 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.
  • Security and governance. Lovable: a quick scan on every publish, a deep code scan, blocking publishing on critical findings, Wiz and Aikido as add-ons, and on Enterprise, SSO, SCIM, roles and groups, audit logs and SOC 2 Type II and ISO 27001:2022 certifications. Its security documentation says the builder is responsible for making sure the app meets the security requirements of its use case, and recommends a professional review for apps that handle sensitive data. 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.
  • Who maintains. Lovable: the builder, with the agent to fix what it finds and project monitoring, in beta, to flag errors in the published app. 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.

What does it look like in a real operation?

It looks like apps working inside 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, from order to shipping label

An electronics seller in Mexico runs without an ERP, and Puente has seven of its sales channels connected. 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. Other processes run around it: a report that consolidates 213,362 Mercado Libre orders via API, a competitor price capture that has collected 1,209,812 records and saves the team 33 hours a month, and a support log where every incident is recorded.

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. Behind it are 20 apps, 75 processes, 7 channels and 19 APIs, built in ten months by one person.

Example 2: a pet retailer in Chile, with orders, shipping and margin on one platform

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. Prices are also executed from Puente, with 8,362 changes in its online store.

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 system that runs your business already in production. Lovable is an excellent platform for taking an idea to a well-designed web app in an afternoon; Puente OS takes your process all the way to the running system: apps inside the process that uses them, connected to your ERP, your eCommerce, your marketplaces and your invoicing system, with workflows and agents operating alongside, designed around your processes and built and maintained by the Growth Ops team. Six concrete reasons:

  • Your apps live inside the process that uses them. Each app shares its database with the workflows and agents of its process, accesses only the tables that process uses, with read, write and delete permissions, and works on the data they prepare. At the pet retailer in Example 2, that adds up to 10 apps in production for six departments, with 167 versions deployed.
  • It connects 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. Puente reads, cross-references and writes back: at the electronics seller in Example 1, the tracking number is written to every order.
  • Workflows and agents operate alongside your apps. Explicit rules handle the bulk of the work, agents take the steps that call for judgment and the app receives the exceptions. Every execution is recorded step by step, and irreversible actions, like issuing a tax document, go through a person's confirmation. At the electronics seller, 97.9% of orders go out with their label with no human intervention.
  • It's designed from 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 building. Each new process builds on what the earlier ones left: at the pet retailer, the time from requesting a process to having it in production dropped from 105 days to 7.
  • A team builds and maintains it. Growth Ops puts each process in production in 2 to 4 weeks, adjusts it as 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?

Lovable fits when you want to take an idea to a web app yourself, quickly and with good design, and you have someone to look after it over time. 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.

  • Lovable, if you want to validate an idea with a prototype that works on real data, launch a website, a landing page or a product of your own with subscriptions, build a portal for your customers with its own login, or build an internal tool with your team. Also if your company runs on Shopify, HubSpot, Salesforce, Notion or a data warehouse like Snowflake or BigQuery, which Lovable connects from its catalog, or if you need the code in your own repository and certifications like SOC 2 and ISO 27001. Its speed, the quality of its design and how easy it makes building for anyone are real strengths.
  • Puente OS, if you want the process left running with its apps, 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, handling marketplace returns or matching documents. With Puente OS, each process reaches production in 2 to 4 weeks.

  1. Pick the process. With volume, manual handoffs and a visible cost when it fails.
  2. Take the baseline. Cases per month, hours of manual work per week and the share of cases that come out right the first time.
  3. Take inventory of what already runs. The apps, 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.
  4. Connect the sources. Your ERP, your store, your marketplaces, your invoicing system, your courier and your bank statements.
  5. Write down the rules your team applies from memory. For example: "if a Mercado Libre return arrives with the product in good condition, the stock goes back to the warehouse and the credit note is left as a draft for finance to confirm."
  6. Decide where each exception goes. The system resolves it, or it reaches a named person with full context in an App.
  7. 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. If you're also evaluating another app builder, see Puente OS vs Replit, and if you're looking for a workflow platform, Puente OS vs n8n.

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

  • Lovable is an AI development platform for building web apps in natural language: you work in Chat, Plan and Build modes, edit on the preview and publish with a database, login, hosting and a security review included.
  • Its backend, Lovable Cloud, uses Supabase's open-source foundation, and you can also connect your own Supabase project. On Enterprise it adds SSO, SCIM, audit logs and SOC 2 Type II and ISO 27001:2022 certifications.
  • When an app starts carrying a process, it needs the process design, two-way systems, work that runs on its own, actions that need a sign-off and a system that evolves with the operation.
  • 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.
  • Lovable fits for prototypes, websites, products of your own and tools your team builds and looks after. Puente OS fits when you want the process running end to end, in 2 to 4 weeks per process.

Want to see what an app looks like inside the process that uses it? 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 Lovable and what is it used for?

Lovable is an AI development platform for building, iterating on and publishing web apps in natural language. You describe what you want and it generates an app with an interface, backend, database, authentication and integrations, with code you can edit and take to your repository. It's used for prototypes, websites and landing pages, SaaS products with payments, customer portals, dashboards and internal tools, and it speaks both to founders and product teams and to operations, finance or sales teams replacing spreadsheets with their own apps.

What is Lovable Cloud and how does Supabase fit in?

Lovable Cloud is the backend every Lovable app comes with: a Postgres database, authentication, storage, realtime, functions, scheduled jobs and logs, managed by Lovable. According to its documentation, it's built on the open-source foundation of Supabase, the Postgres platform for developers that presents itself on its website with the line "Build in a weekend. Scale to millions." If you'd like the backend in your own account, Lovable connects to your Supabase project, and then backups, instance size and configuration are in your hands.

Does Lovable work for internal operations apps?

Yes, and its documentation says so: among its users it names operations, sales and finance teams replacing spreadsheets with their own apps, and on its business editions it adds a workspace identity so internal tools recognize whoever is already signed in. What the app does inside the process depends on what you connect and who looks after it: the catalog connectors, the custom connectors an admin creates and the code the agent writes for the rest. Puente OS is made for the company that wants the complete process working: the Growth Ops team designs it with you, connects it to your systems, builds it and maintains it, and your team decides the exceptions.

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

In its connector catalog and the rest of its documentation, 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 with a custom connector, created by a workspace admin, or with code the agent writes, as long as the service is reachable from the internet, according to its page on integrating any API. 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.

If Lovable already builds apps with AI, what does Puente OS add?

Lovable builds the app very well. On Puente OS, each app lives inside the system that runs its process: it accesses that process's tables with per-table permissions, every execution is recorded, it connects both ways with your systems and it has workflows and agents operating alongside, in production and with a team that maintains it. And the way it gets built is natural language too: you describe what your operation needs and get apps, workflows, databases and agents running. That is how, at an electronics seller in Mexico, one person built 20 apps and 75 processes in ten months.

What happens to the apps I already built on Lovable?

They go into the inventory first. The Growth Ops team reviews with you the apps, spreadsheets and scripts that touch each process, what they do and who maintains them, and decides which ones keep running where they are and which get redesigned within the process in Puente OS, with its data, its rules and its connections. A well-made Lovable prototype is also a good starting point: it shows how your team wants to work. Each process reaches production in 2 to 4 weeks.

External sources cited

Everything this post says about Lovable comes from its website and its documentation, reviewed on October 11, 2026, and what it says about Supabase comes from its website. 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.

Lovable: product

Lovable: backend, data and publishing

Lovable: integrations

  • Lovable connectors (Lovable documentation): a connector catalog for the published app and the chat, end-user connectors, custom connectors and MCP servers; its documentation index (docs.lovable.dev/llms.txt) lists connectors like Slack, Notion, HubSpot, Salesforce, Pipedrive, Zendesk, Google Workspace, Shopify, WooCommerce, PrestaShop, Xero, Zoho Books, Stripe, WhatsApp, Twilio, Snowflake and BigQuery. Neither that index nor the full text of its documentation (docs.lovable.dev/llms-full.txt, reviewed on October 11, 2026) mentions Mercado Libre, Mercado Pago, Bsale, Defontana, Nubox, Falabella, VTEX or the SII.
  • App + chat connectors (Lovable documentation): one shared connection used by the chat and the published app; in the chat, Lovable asks for approval before each action that changes data.
  • Create a custom connector (Lovable documentation): connectors for any REST API, created by workspace admins.
  • Integrate any API (Lovable documentation): a custom connector or an integration written into the app's code; the service has to be reachable from the internet.
  • Connect to Supabase (Lovable documentation): using your own Supabase project as the backend, with backups, instance size and configuration handled by whoever manages it.

Lovable: security and Enterprise

  • Security overview (Lovable documentation): a quick scan on every publish (database access rules, dependencies and MCP servers), a deep code scan, blocking publishing on critical findings, Wiz and Aikido as add-ons; "You are responsible for ensuring that your app meets the security requirements appropriate for its use case," with the recommendation of a professional review for apps that handle sensitive data.
  • Lovable for Enterprise (Lovable documentation): SSO with OIDC and SAML 2.0, SCIM, roles and groups, publishing controls, scheduled deep scans, audit logs with export and SIEM forwarding, workspace identity for internal tools, and SOC 2 Type II, ISO 27001:2022, AIUC-1 and GDPR.

Supabase

  • Supabase, home page: "Build in a weekend. Scale to millions."; database, authentication, storage, edge functions, realtime and vector search.

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