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Vercel Open Source Program: Winter 2026 cohort How Notion Workers run untrusted code at scale with Vercel Sandbox How we run Vercel's CDN in front of Discourse From idea to secure checkout in minutes with Stripe Building Slack agents can be easy Scaling redirects to infinity on Vercel Advancing Python typing Gamma builds design-first agents with Vercel How Avalara turns pipe dreams into patent-pending with v0 Keeping community human while scaling with agents How OpenEvidence built a healthcare AI that physicians actually trust Security boundaries in agentic architectures Skills Night: 69,000+ ways agents are getting smarter Video Generation with AI Gateway We Ralph Wiggumed WebStreams to make them 10x faster How Stably ships AI testing agents in hours, not weeks How we built AEO tracking for coding agents Anyone can build agents, but it takes a platform to run them Introducing Geist Pixel The Vercel AI Accelerator is back with $6m in credits Making agent-friendly pages with content negotiation The Vercel OSS Bug Bounty program is now available Introducing the new v0 Run untrusted code with Vercel Sandbox, now generally available How Stripe built a game-changing app in a single flight with v0 How Sensay went from zero to product in six weeks AGENTS.md outperforms skills in our agent evals Agent skills explained: An FAQ Testing if "bash is all you need" AWS databases are now live on the Vercel Marketplace and v0 Use Perplexity Web Search with Vercel AI Gateway Introducing: React Best Practices Nick Bogaty joins Vercel as Chief Revenue Officer How Mux shipped durable video workflows with their @mux/ai SDK How to build agents with filesystems and bash How we made v0 an effective coding agent Building AI-Generated Pixel Trading Cards with Vercel AI Gateway We removed 80% of our agent’s tools AI SDK 6 Our $1 million hacker challenge for React2Shell Cline now runs on Vercel AI Gateway How to prompt v0 Build smarter workflows with Notion and v0 Vercel launches partner certification Inside Workflow DevKit: How framework integrations work React2Shell Security Bulletin | Vercel Knowledge Base Billions of requests: Black Friday-Cyber Monday 2025 Investing in the Python ecosystem AWS Databases coming to the Vercel Marketplace How we built the v0 iOS app Workflow Builder: Build your own workflow automation platform Vercel Open Source Program: Fall 2025 cohort Self-driving infrastructure Vercel collaborates with Google for Gemini 3 Pro Preview launch Vercel: The anti-vendor-lock-in cloud How Nous Research used BotID to block automated abuse at scale How AI Gateway runs on Fluid compute What we learned building agents at Vercel Build and deploy data applications on Snowflake with v0 BotID Deep Analysis catches a sophisticated bot network in real-time Vercel achieves TISAX AL2 compliance to serve automotive partners Bun runtime on Vercel Functions David Totten Joins Vercel to Lead Global Field Engineering Vercel Ship AI 2025 recap You can just ship agents AI agents and services on the Vercel Marketplace Built-in durability: Introducing Workflow Development Kit Zero-config backends on Vercel AI Cloud Introducing Vercel Agent: Your new Vercel teammate Update regarding Vercel service disruption on October 20, 2025 Agents at work, a partnership with Salesforce and Slack Running Next.js in ChatGPT: How to Build ChatGPT Apps Talha Tariq joins Vercel as CTO of Security Just another (Black) Friday Server rendering benchmarks: Fluid Compute and Cloudflare Workers Towards the AI Cloud: Our Series F Collaborating with Anthropic on Claude Sonnet 4.5 to power intelligent coding agents Preventing the stampede: Request collapsing in the Vercel CDN BotID uncovers hidden SEO poisoning How we made global routing faster with Bloom filters What you need to know about vibe coding Scale to one: How Fluid solves cold starts Addressing security & quality issues with MCP tools - Vercel AI agents at scale: Rox’s Vercel-powered revenue operating system Helly Hansen migrated to Vercel and drove 80% Black Friday growth Agentic Infrastructure Zero Data Retention on AI Gateway Optimizing Vercel Sandbox snapshots How Waldium made a blog platform work for humans and AI alike How FLORA shipped a creative agent on Vercel's AI stack Agent responsibly Making Turborepo 96% faster with agents, sandboxes, and humans Unified reporting for all AI Gateway usage new.website joins forces with v0 SERHANT.'s playbook for rapid AI iteration Two startups at global scale without DevOps Chat SDK brings agents to your users 360 billion tokens, 3 million customers, 6 engineers Meet the 2026 Vercel AI Accelerator Cohort Build knowledge agents without embeddings
Stopping the slow death of internal tools
Zeb HermannGM of v0Eric DoddsContent Engineer · 2025-12-27 · via Vercel News

Companies spend millions of dollars in time and money trying to build internal tools. These range from lightweight automations and dashboards to fully custom systems with dedicated engineering teams.

Most businesses can’t justify focusing developers on bespoke operational tools, so non-technical teams resort to brittle and insecure workarounds: custom Salesforce formulas and fields, complex workflow automations, spreadsheets, and spiderwebs of integrations across platforms. They are trying to build software without actually building software, and most of the tools end up collecting dust.

v0’s AI agent changes this equation. Business users can build and publish real code and apps on the same platform that their developers use, safely integrate with internal and external systems, and secure everything behind existing SSO authentication.

Link to headingWhy most internal tools fail

The same business process can vary significantly from company to company, so the internal systems used to support them must be highly customized. These differences can range from nuances in the stages of a sales cycle to product and pricing details, internal team structure, and data definitions. And each of these variables changes as the business grows.

When it comes to actually building, these requirements translate into technical questions about data models and types, API integrations, and custom logic as code. And this is on top of the security concerns related to user access and sensitive company data. The value is clear to the business users, but the cost is too high to justify pulling engineers off the roadmap.

When a tool does get built, maintenance is time-consuming and often requires tribal knowledge from a developer or ops expert, meaning ownership wanes, updates aren’t implemented when processes change, and the system is abandoned.

Link to headingAI agents turn requirements into apps

Modern AI agents like v0 close the gap between business user needs and custom, production-ready code.

Before AI, the problem wasn’t what to build, it was how to build and maintain it. With v0, business users can tell the agent what they want to build, and their tool will be generated with clean, auditable code. Here are several examples of internal tools we've built with v0 at Vercel:

Sales forecasting: We tried multiple sales forecasting tools, but each one was limited in the data it could ingest, which meant model accuracy faced an inherent ceiling. Our team built an internal forecasting tool that utilizes data from every relevant source, significantly improving accuracy.

Marketing lead list import: Importing leads from events, campaigns, and other systems was traditionally a manual, spreadsheet-based process that required post-import human cleanup every time. We built a tool that uses AI to clean emails against our own data, then scores each lead so that they are segmented correctly on the first import. Now our marketing can import lists from any source quickly and safely.

Custom event marketing pages: Our marketing team runs hackathons and other activations at events. We built a v0 template that can be replicated and customized for each event, including a backend for approving hackathon submissions. Our marketing team can replicate the template and customize it for any event without design or development help.

Link to headingFrom idea to deployment

After testing tools in a sandbox, v0 users can publish their app to a secure, enterprise-grade environment on Vercel for the rest of the company to use. Most importantly, these business users aren’t working independently of engineering. They are building and deploying on the same enterprise-grade platform as their engineering team. The code is auditable, every change is logged, and deployment is configurable.

Instead of widening the gap between non-technical users and developers, v0 enables them to work together in the way they always wished they could.

Link to headingHow v0 makes internal tools simple and secure

When internal tools are built by engineers, they rely on secure coding practices, correct auth implementation, and careful handling of secrets and data.

v0 bakes those primitives into the platform for business users, meaning their tools are safe and scalable from the start.

Link to headingAccess control is automatically enforced, not assumed

  • Internal tools can’t rely on every builder to correctly implement authentication, authorization, and secret management. A single mistake can expose sensitive company data.

  • v0 enforces security at the platform level. Applications authenticate through the company’s existing identity provider, and access controls are applied automatically, even if the application code never explicitly implements auth.

Link to headingInfrastructure is safe by default, regardless of code

  • If applications don’t consistently follow security best practices, the environment they run in must compensate. Otherwise, every tool becomes a potential liability.

  • v0 runs applications in Vercel’s secure-by-default environment. Protection from public exposure, authentication, and data flow guardrails are handled by the platform, not left up to individual implementations.

Link to headingSecure integration and data access are built in, not bolted on

  • Internal tools are only useful if they can access the systems teams already rely on, but custom integrations are slow to build and hard to maintain.

    • v0 provides built-in access to common internal and external systems, from databases and warehouses to SaaS tools and internal APIs. Builders describe what data they need and how it should be used, without having to design or maintain the integration layer themselves.

  • Even when integrations are simple to implement, it’s easy for the builder to accidentally overexpose data to the wrong audience.

    • In v0, data access is evaluated at runtime based on the viewer’s privileges. A dashboard creator can’t grant access they don’t have, and permissions always reflect the user viewing the application.

Link to headingGuardrails prevent accidental exposure

  • Internal tools frequently become dangerous not because of bad intent, but because of small, accidental misconfigurations that go unnoticed.

  • v0 makes this entire class of mistakes impossible. Applications can’t be accidentally exposed to the public internet, and sensitive data can’t be accessed outside approved identity and permission boundaries.

Link to headingMaintenance is simple and changes are reversible

  • Most internal tools decay over time. They depend on tribal knowledge, break when upstream systems change, and become unmaintainable as soon as the original builder moves on.

  • Because v0 applications are real code, built on the same platform and primitives as production systems, they can be updated, reviewed, and maintained alongside the rest of the codebase. Changes don’t require rediscovering undocumented logic or reverse-engineering fragile integrations, which keeps tools usable long after the first version ships.

    • If modifications are problematic, users can instantly roll back to the previous version of the application.

Link to headingBuild the internal tools of the future, today

With v0, your CTO and CISO don't have to choose between shipping fast and shipping securely, or pull engineering resources off of the core roadmap.

Your team doesn’t have to copy and paste between Sheets, Slides, and internal portals. They don’t have to download CSVs from Snowflake and upload them to Salesforce. And they don’t have to manually maintain workflows across disconnected SaaS platforms.

You can build exactly what you need in minutes and connect data across systems without waiting for engineering. The applications run inside a controlled environment, their sensitive data stays protected, and everything is logged.

Ship your first internal tool today using one of our templates: