If you're building apps with generative AI, your product is evolving faster than your team can test it. Features ship daily. Elements in the UI change weekly. APIs get refactored on the fly. But your QA strategy? It’s stuck in an old world - brittle scripts, manual test passes, and flaky automation that breaks more than it protects. Your dev team is laser focused on innovation and building differentiating capabilities. Your ops team cares about shipping updates and fixes, and the ever-important operational performance to keep your users happy. 

Welcome to the new status quo: apps that are bigger than their teams, but held back by outdated testing frameworks.

It’s time for a different approach.

Current State: Testing That Can’t Keep Up

Most GenAI startups begin with good intentions, such as planning to add automated tests using tools like Playwright or Cypress. However, they often find that the realities of startup life quickly make these plans more challenging to follow through.

The reality is:

• Apps are built in modern frameworks with dynamic elements (React, Next.js, Canvas, LLM-based UIs)

• Test coverage is light, outdated, or worse - false-positive-prone

• Manual regression testing eats up hours before every release, and negatively impacts users

• First-gen testing tools simply weren’t built for modern, AI-driven workflows

You're shipping faster than ever, but QA can’t scale with you.

As your dev team accelerates its release cycles and delivers new features at an unprecedented pace, your Quality Assurance (QA) processes struggle to keep up. The new rate of deployment exposes gaps in testing coverage, increases the risk of undetected bugs reaching production, placing further strain on the whole team.

Without a scalable QA framework, maintaining quality and user satisfaction gets increasingly challenging.

Future State: Fully Automated, AI-Native QA That Grows with Your App

Now imagine a different reality - one where:

• Tests are written in clean, auditable Playwright code and submitted via PR directly to your repo

• A dedicated solutions engineer helps guide test coverage, triage changes, and adapt to new features

• Tests self-heal overnight when your DOM, selectors, or flows change

• QA is no longer a bottleneck - it’s an asset that propels your release velocity.

This isn’t a vision - it’s what GenAI teams are experiencing today with Checksum. This approach is really taking off, as busy teams must focus on building. This is now more widely known as AI Testing Results-as-a-Service or (RaaS). Teams love the efficiency, cost-effectiveness and most importantly focus at scale.

The Gap: What’s Holding You Back?

You already know your QA process is slowing things down. But here’s the critical gap:

If your team is committed to reliability, scalability, and rapid iteration, you can no longer afford to overlook this gap.

Checksum: Close the Gap with AI Tests-as-a-Service

Checksum is not just an end-to-end testing tool. It's a fully managed, AI-native testing platform that scales QA like a product - not a process.

Here's what makes it different and superior to other approaches:

✅ AI-Powered Test Generation
From product videos or high-level feature descriptions, Checksum detects and generates the exact test cases your app needs.

✅ Auditable Code Output
Tests are delivered as Playwright code, submitted via PR to your repo - fully visible, reviewable, and version-controlled.

✅ Human-in-the-Loop QA Partner
Each account is paired with a dedicated Checksum solutions engineer who helps prioritize features, refactor strategies, and fine-tune coverage.

✅ Self-Healing Test Infrastructure
Checksum runs nightly test suites against staging environments and automatically adapts when UI or DOM changes are detected.

✅ No Extra QA Headcount Required
Your engineers stay focused on building your product. Checksum handles the rest.

The fastest growing tech companies rely on Checksum

Don't just take our word for it. Here's what other customers have to say

Ted Jackson, Co-founder at Clearpoint Strategy:

“Checksum is a game-changer… It saves me so much time writing tests so I can deploy my engineering resources to building tomorrow’s technology today - not fixing yesterday’s release over and over again.”

Adrian Cuadros, Co-founder and Chief Product Officer at Reservamos:

“Checksum saved us $200K a year as they were able to generate a full testing suite. The fact that they provide a testing suite and maintain it in real-time is a game changer. Our engineering team moves and innovates faster and paying per test allows us to tie the costs directly to the money saved.”

Stop Writing Tests. Start Shipping Faster.

If your app evolves daily but your tests remain unchanged, you must address this gap. First-generation testing tools do not meet the needs of GenAI teams. Checksum does.

Let AI handle the QA work, so your team can get back to building.

We'll show you how to shrink the gap and solve all your end-to-end testing needs. Book a demo with us using the link in the navbar.