The Website That Gets Better Every Day

By Rafiq Mohammadi and Madhukar Kumar, co-founders, Robynn AI

We both worked at Interwoven, the company that built the first generation of enterprise web content management. From 2004 to 2013, we worked on the products thousands of companies used to author and manage their websites: TeamSite for creating versioned content, LiveSite for delivering dynamic web pages. Interwoven helped define how the web got published, and both products are still running today, inside OpenText, decades after they were first built.

We're proud of that work. But the category we worked in carried an assumption the entire industry inherited without ever questioning it: that a website resembles source code development with a huge amount of up-front effort to finish it and then a long painful maintenance cycle. Once finished the routine maintenance makes continuous adjustments to changing marketing dynamics extremely expensive.

The whole model was an assembly line. Authors wrote, approvers approved, the system published, and everyone moved on. The CMS made publishing easier for the marketers that separated content from web engineering. That was the revolution, but it also froze a workflow in place: a website was a project with an end date. Launch was the finish line. Changing customer preferences and brand evolution were an afterthought.
Candidly, every website we watched a customer ship, started drifting and decaying the day it launched. A product page went stale after the next release. A link broke when someone moved a reference. A competitor rewrote their comparison page, and your rankings slipped a position, then three. No single decay announced itself. That was the problem.

We call it the marketing entropy.

Initially, big companies had an answer: people. Engineers on the web team, an agency on retainer, an SEO consultant, a conversion specialist. The site stayed sharp because people were paid to keep it sharp though larger teams come with a cost - market agility and ever-increasing budgets.

One of us went on to run marketing as a CMO for years and lived that reality from the inside. The other spent years managing a leveraged buyout in legal tech and eventually to study the math underpinning AI. All this while the smaller teams, the two-person marketing department, a solo founder doing her own had the same website, the same decay, and none of the resources. Just a to-do list that never got shorter, and a quiet suspicion the site was leaking opportunities without insights into the causes.

The past year it got worse in a way most teams still haven't priced in: buyers started asking AI. A site can rank respectably on Google and be completely absent from the answers ChatGPT and Perplexity give about your category. A second discovery channel, with different rules, and almost nobody had capacity for the first one. So, what can small teams do? A common option is to generate content with the help of ChatGPT or Claude without context which can backfire and result in reduced differentiation.

We founded Robynn one year ago, July 28, 2025, to harness the power of AI combined with your business context, significant domain experience and a deep insight into how to manage agentic workflows. We were inspired by how post the realization of the Turing test we can finally finish the mission of Interwoven.

Today, five days shy of our first birthday, we're launching what could not be done at Interwoven circa 2014: self-improving websites. The first generation of web software made websites possible to publish. This one enables continuous refinement without an army!

How it works

You connect to the website you already have. No rebuild, no migration, no new platform to learn. Robynn diagnoses it continuously - broken pages, decaying content, conversion leaks and helps with queries that search engines can't find or won't cite. For each problem it proposes a fix in plain language: what's wrong, what it wants you to change and why it matters.
You are in control (human in the loop model).
That pause is the whole design. You read the diagnosis the way an editor reads a draft. You approve what you agree with, change what you don't, and ignore what doesn't matter. When you click approve, Robynn publishes it. Post publishing Robynn collects data and shows you what happened; this is iterative. The longer Robynn monitors your site, the more it knows about what works for your brand specifically, and everything it learns belongs to you alone.

Watch the walkthrough video here
Our core belief on AI agents at this stage of the technology

We can build a version of this product that removes the human entirely. Full autopilot, trust the machine.

We deliberately didn't build that one.

We've spent a year working alongside AI agents every day. They built large parts of Robynn, and the clearest thing we've learned is the burden of supervision. The machine is better than us at the labor: scanning ten thousand pages, noticing the decay, drafting the fix at 2am, measuring what moved. It is not better than us at judgment. It doesn't know that this phrase would make your founder wince, that this discount cheapens a brand you spent years building, that this page reads correctly but doesn't sound like you.

So, Robynn splits the work exactly there. The machine does the labor. You keep the judgment. Marketing teams using Robynn don't get replaced; they get promoted, from doing the maintenance to strategically applying discretion and judgment, two key ingredients of differentiated brands.
It's also the part of the old assembly line worth keeping. The CMS generation we worked on had approval workflows because organizations wouldn't publish without a human sign-off and they were right to insist. We kept the sign-off. We automated everything on either side of it.

That's also why changes need approval. If a tool is going to touch something as important as your website, "trust me" isn't good enough.

One year in

We founded the company on July 28 of last year. Almost exactly a year later, Robynn runs on a stack of about 30 specialized agents, Robynn has been busy keeping content and brand work sharp for design partners for months, and as of today, works on websites - the surface where all of it comes together, because for most companies the website is marketing's home.

The early users shaped everything. A CMO at a fast-growing health drinks brand who needed to think faster, not just produce more. A content lead who compared our output side by side against the general-purpose models with identical prompts and kept using ours. A founder who told us, that our site diagnosis would require here more hires if implemented manually
We're small, and this product is young. Some things will be rough for a few weeks; the loop gets smarter every day, which is fitting. But this is the most interesting thing either of us has worked on: not AI that advises you into a longer to-do list, and not AI that takes the keys; purpose driven AI that does the work, and hands you the judgement.

Websites were never supposed to be finished.

Try it

Connect your site and read your first diagnosis. It takes a few minutes, it starts free, and the diagnosis alone will probably tell you something about your website you didn't know.

[robynn.ai]
Rafiq & Madhukar