Suchintan Singh

Everything we shipped in July 2026 — weeks of June 30, July 6, 13, 20, and 27.

When your Puppeteer script can't find the download button after a portal redesign, you're not dealing with a small bug. You're looking at days of developer time to fix selectors, multiplied by however many vendor portals broke this month. Traditional utility bill data extraction automation fails at scale because it memorizes specific page structures instead of understanding what those pages actually do, which means every interface change becomes your problem to solve manually. TLDR: * Manual

Most browser automation comparisons treat every tool as a variation of the same thing. Airtop and Skyvern aren't. One is cloud infrastructure for developers who want to manage their own agent logic. The other is a goal-directed execution platform built for ops teams running portal-heavy workflows that break scripts on every vendor update. That's the class of problem Agentic Process Automation platforms are built for — where browser execution is the mechanism, but autonomous operation, exception

Most browser automation comparisons focus on features. The one that actually matters is what each tool does the first time a portal renames a button or adds a new login step. CloudCruise and Skyvern answer that question very differently, and your answer should probably follow from theirs. That question is what separates Agentic Process Automation platforms from session-replay tools — one class was built to handle change as runtime input; the other was built to replay a path that no longer exists

You're trying to automate something web-based and you're weighing your options. Firecrawl and Skyvern both come up, they both handle browser content, and it's not immediately clear what separates them. But the architectural gap between the two is considerable: one reads public pages and returns the content, the other operates inside authenticated portals, handles 2FA, fills forms, and delivers structured output from workflows that have no API. That second class of problem (credential-guarded por

Long gone are the days when 'automate it' meant recording a click path and hoping the portal never changed. That model breaks too often, costs too much to maintain, and falls apart the moment a vendor redesigns a form. Agentic automation takes a different architectural approach, and for ops teams managing portal-heavy workflows, the distinction matters considerably more than the marketing around it. Here's what it actually means and how to think about whether it fits your situation. TLDR: * A

The days of treating RPA and AI agents as two versions of the same thing are catching up with teams managing real production workflows. One replays a recorded sequence and breaks when the page changes. The other reads the current state of the page and reasons through whatever it finds. The comparison below maps out where each approach holds up, where it breaks, and how to match your actual workflow conditions to the right tool. TLDR: * RPA automates a fixed path and breaks silently when porta

If you're running agentic process automation across more than a handful of portals, the wall where individual agents fall short is familiar. State doesn't persist across session timeouts. Exceptions have nowhere to go. There's no audit trail when something goes wrong. APA control plane agentic process automation is the infrastructure layer that solves those problems, and understanding how it works changes how you think about building automation that actually holds up in production. Skyvern is an

Long gone are the days when 'we automated it' meant you were done maintaining it. If you're running RPA at scale, a big chunk of your team's time is probably spent on upkeep, patching bots every time a vendor portal renames a field or shuffles a form layout. This enterprise guide to agentic process automation breaks down why that maintenance burden is an architectural problem, not an implementation one, and how agents that read pages visually at runtime change the math on portal-heavy workflows

There's a reason so many operations teams that started with RPA are asking about agentic automation now. It's not that their bots were built badly, it's that selector-based tools were built on a static assumption, and most real-world portals don't hold that assumption for long. The agentic process automation vs. RPA conversation is really a conversation about what breaks first: the page, or your maintenance backlog. Here's how the two approaches compare, where each one fits, and where the distan

Hey everyone, Suchintan from Skyvern (YC S23). We run browser automation for AI agents at scale, and we're launching Rustwright: Playwright on an in-process Rust CDP engine. The engine consumes 70% less memory than Playwright, and is 2.55x faster to boot. We built this to improve Skyvern’s memory footprint, and thought this would be independently valuable to the broader community The whole idea fits in two lines: playwright-python: your code ──pipe──► Node driver ──CDP──► Chromium rustwrig

Long gone are the days when you could record a login path once and trust it to run clean six months later. Portal layouts change, 2FA prompts rotate, session flows shift, and the script that worked last Tuesday silently delivers nothing this Tuesday. The agentic process automation stack is the architectural response to that compounding maintenance problem, and it's made up of four distinct layers that each carry a different set of responsibilities. Getting clear on what those layers are, and wh

The portals your team depends on most, insurance payer systems, carrier quote platforms, government permit applications, were built for people, not for automation scripts. Every time one of them changes, someone pays for it in maintenance hours or broken workflows. Agentic process automation takes a different architectural approach entirely, and the business case for making that switch is clearest when you look at where traditional automation keeps failing the same way for the same reason. This

Your automation breaks at the same places every time: the login flow changes, a form gets restructured, a modal fires mid-session, the output lands in the wrong schema. Those aren't random failures. They map to specific layers in how any Agentic Process Automation (APA) system is built, and each one has its own failure mode, its own fix, and its own architectural requirements. Walk through all five and you'll have a cleaner way to diagnose what's actually going wrong. TLDR: * Agentic Process

If your automation program has grown past a handful of scripts, you already know the gap between 'we have automation' and 'our automation scales.' Bots break when portals change, governance is an afterthought, and new workflows take longer to ship than they should. The scripts, though, are not usually the problem. The architecture is. An Agentic Process Automation (APA) maturity model gives you a way to diagnose what is actually blocking you. It maps where your program sits across five dimensio

The workflows that cost teams the most time are almost never the complex ones. They're the repetitive, portal-based tasks that have no API, that someone has to log into manually, and that break every script you build around them. Agentic Process Automation (APA) was built for exactly this gap. If you're trying to figure out what it is, how it actually works under the hood, and whether it's the right fit for your team, this guide covers all of it. TLDR: * APA agents read the live page state at

Every RPA comparison of Skyvern vs UiPath tends to stack feature against feature, but the more useful question is what breaks first when a vendor updates their portal without warning. If your workflows run on stable internal systems like SAP or Oracle, that question barely matters. If they run on credential-guarded portals that change on someone else's schedule, it's the only question that matters. Here's how each tool handles the answer. That answer sits at the heart of what separates tradition

Everything we shipped in June 2026 — weeks of June 1, 8, 15, and 22. Workflows Are Now Agents We renamed Workflows to Agents across the product, the public API, and the docs. The API now lives under /agents (e.g. POST /v1/run/agents) and accepts an agent_id alias for workflow_id — same wpid_ value, echoed back in responses. It's fully backwards-compatible: your existing workflow_id inputs, /workflows endpoints, SDK methods, and bookmarked doc URLs all keep working. Workflow Studio (Beta) M

Most browser automation scripts fail the moment a site changes its layout. A button moves, a class name updates, and your carefully crafted Selenium script stops working. Skyvern solves this by giving AI agents live browser access instead of hardcoded selectors. The agent sees what's actually on the screen, decides what to do next, and adapts when things change. That's the difference between brittle scripts that need constant maintenance and automation that keeps working. This guide covers what

You're comparing Sola vs Skyvern because you need to automate workflows that live on portals with no API, and you're tired of scripts that break every time a vendor updates their layout. The pitch for both tools sounds similar: automate browser work without writing code. But the execution models are miles apart. Sola pauses for human input when it hits something new. Skyvern reads the page visually and works through changes autonomously. This Skyvern vs Sola breakdown covers the browser automati

Every time Skyvern takes an action on a web page, it sends an annotated screenshot plus a structured description of every interactable element to a multimodal LLM: buttons, inputs, dropdowns, the works. That description is where a lot of tokens go. We'd been representing those elements as JSON, which is readable and explicit, but also verbose. After hearing from others in the space that HTML and markdown representations could cut token counts by 15% or more, we decided to test it ourselves. The

Small teams often spend 5 to 10 hours a week on repetitive browser tasks that could easily be automated, but finding the right tool feels like working through a maze of expensive enterprise solutions and complex coding requirements. Fortunately, free browser automation tools like Skyvern give small teams access to powerful automation without the hefty price tag or technical headaches. Skyvern sits in a broader category called Agentic Process Automation, where browser execution is the mechanism

You've got a workflow that runs on a portal with no API, requires credentials that rotate, and breaks automation scripts every time the vendor updates their layout. Kernel provisions clean, fast browser sessions in 300 milliseconds and ships anti-detection configuration out of the box, but you still write and maintain the automation logic yourself. Skyvern reads the live page state visually, identifies interactive elements by appearance and context, and keeps going when portals change instead of

Every browser automation comparison eventually comes down to one question: does your workflow require more than pulling data off a page? The Skyvern vs Browse AI decision breaks along that line. Browse AI records your interactions once and replays them as long as the page layout stays consistent. Skyvern reads the live page state at runtime, which means it keeps working when portals change and can work through authentication flows that would stall a scraper. We'll cover where each tool fits, wha

Choosing between Axiom and Skyvern for browser automation means choosing between two fundamentally different approaches to handling the fact that websites change. Axiom records a workflow once and replays it using selectors tied to the page structure at that exact moment, which works until the site updates and breaks the script. Skyvern reads the page visually every time it executes, identifying buttons and fields by what they look like and what they do instead of by a stored XPath, so redesigns