How Contentstack’s Agent OS is built for real marketing outcomes

Insights

by Ebin Ephrem

3/11/26

AI-generated content “slop” has become the industry’s cautionary tale.

From AI-produced holiday and Super Bowl ads to the flood of AI used in everyday social content, we’ve seen what happens when AI is deployed without strategy, context, or accountability. The public backlash has not necessarily surfaced because these brands were using AI in the first place. It was more because there were so many brands using AI that no brand stood out, diluting themselves into a “sea of sameness,” and replacing the uniqueness that comes from human creativity.

Brands have been treating AI like a marketing shortcut instead of an operating model. And that’s the real inflection and decision point marketing leaders are facing right now.

Where Contentstack’s AI approach stands apart

Contentstack has been investing in automation and intelligence for years; rather than racing to ship flashy AI features, they have taken a practical approach to help global organizations work more efficently and effectively. They have asked the hard questions like, “How should AI really work inside modern marketing operations?”

The result is Agent OS: an agentic architecture designed to execute work across systems, guided by context, governance, and brand truth. Rather than layering AI on top of existing workflows, Agent OS rethinks how work moves through the organization in the first place.

But even with the right architecture in place, adopting AI is rarely frictionless. Across industries and maturity levels, organizations face the same internal challenges. AI demands a shift in how teams think and work. It introduces new requirements around brand controls, accountability and an operating model.

What’s less obvious are the operational hurdles that emerge as organizations try to move from experimentation to scale. And it’s at this intersection of ambition and execution where many marketing AI initiatives begin to stall.

The hard truths about adopting agents

1. Complexity of action

Teams know what they want to accomplish—launching pages faster, localizing content, personalizing journeys—but struggle with how to connect systems to make that happen.

Agentic AI only works when it can reason across content, data, and workflows.

This is where custom agents become essential. At Horizontal Digital, we help organizations design agents that accelerate the slowest parts of marketing operations by taking a broader, more pragmatic view across content, data, and workflows.

2. Proving value before patience (or money) runs out

Many AI initiatives fail not because they don’t work but because leaders can’t see value fast enough. The mistake? Treating AI like a platform investment instead of a task-level ROI model.

Successful agent adoption starts small: specific workflows, measurable outcomes, and clear cost-to-value mapping. This also helps organizations justify agent investments by tying each agent to tangible KPIs – speed to market, reduced manual hours, or conversion lift as an example.

3. Change management and enablement

Launching agents is the easy part. Getting teams to trust and use them is not always the same case. Without a change management roadmap inclusive of training, governance and continuous improvements, your agents are at risk of becoming shelfware. Align and empower your people as part of this movement.

4. Fitting in with the rest of your digital investments

You already know this, but no organization is starting fresh. CRM’s, DAM’s, commerce tools, and agentic AI need to work with what already exists.

Agent OS is powerful precisely because it’s designed to orchestrate across platforms. Horizontal Digital can help ensure all current platforms are fully considered to minimize workflow disruption prior to implementing agents.

Maximize your use of Contentstack’s Agent OS

Let's dive into a few aspects of Contentstack’s AI architecture: Brand Kit, Polaris, and Agent Builder.

Context is key with Contentstack’s Brand Kit

Brand Kit acts as the knowledge vault for everything agents will need to project your brand.

Voice, tone, style rules, product language, audience nuance—it all lives in one governed system. That means agents don’t just generate content faster; they generate content that feels intentional, consistent, and most importantly on-brand.

As Contentstack CEO Neha Sampat put it: “Context is the most important currency in business. For decades, marketers have relied on segments, rules, and best guesses to engage customers. Agent OS changes that forever.”

Brand Kit governs every automation and agent output, ensuring trust doesn’t erode as speed increases.

Polaris: The AI companion that helps you move work forward faster

Polaris is a conversational AI companion embedded across the Contentstack platform. It can help you surface insights, guide decisions, and trigger actions using real content, audience, and brand context.

Instead of asking users to jump between tools, Polaris brings intelligence directly into the flow of work. The trick is making sure you’re asking the right questions.

For example, you can prompt Polaris to:

“List all pages missing alt text on images.”
“Which landing pages have the highest bounce rate this quarter?”
“Recommend content for a first-time visitor in the financial services segment.”

Your work is made instantly faster because the system now thinks with you.

Be strategic about the custom agents you create

You don’t need more AI. You need the right agents, built for the right work.

Contentstack's Agent Builder enables you to create custom agents take instructions that inform its behavior, pull in context from your data and content to help make informed decisions, interact with external platforms and tools, and power reasoning.

But which agents should you prioritize?

One of the biggest mistakes organizations make with agentic AI is assuming that more agents equal more value. In reality, indiscriminate agent creation leads to complexity, mistrust, and overall diminishing returns.

Agentic AI success is rooted in intentionality. Best practices for getting started include:

Identifying 3–5 high-impact use cases tied to strategic KPIs
Starting with workflows that remove friction, not creativity
Building a roadmap that is inclusive of governance and training
Optimizing continuously based on performance data

Sheetal Jain, CTO of Horizontal Digital, sits down with Nishant Patel, Founder and CTO of Contentstack, to discuss how AI is shaping Contentstack's future.

“You need agents that can make decisions based on the context and data,” says Nishant Patel, Founder & CTO at Contentstack. “Imagine a web page and that experience is created for you in miliseconds – one that’s created JUST for you. In the next year or two, we’ll be at a point where the entire personalized experience for a user can be made on the fly.”

This vision requires a fundamental mindset shift.

The real power of Contentstack’s Agent OS comes when teams move beyond single-purpose bots. Instead of thinking, “This agent does X to solve Y,” organizations begin designing agents that can reason across multiple steps, systems, and signals.

That’s the difference between simple automation and real transformation of how work gets done.

If your organization is looking to adopt an agentic AI DXP platform, you need to adopt it in a way that works best for your marketing team to drive measurable outcomes.

Think you're ready to use an agentic DXP?

Contentstack Agent OS provides the architecture for agentic execution. Horizontal Digital helps organizations design the agentic strategy that brings agents to life across systems, teams, and context. We can help you determine exactly how your digital platform and processes stack up today, so you’re better equipped to take on this next wave of marketing intelligence.