The artificial intelligence (AI) boom has sparked a wave of excitement and confusion. While generative AI tools promise to revolutionize how we work, create, and automate, most professionals still struggle to harness their full potential. For non-technical users in particular—marketers, educators, consultants—the road to building AI-driven workflows remains frustratingly complex.

The challenge isn’t the absence of AI models—it’s the complexity of using them. Juggling technical know-how, multiple subscriptions, and disconnected tools has created a fragmented and costly ecosystem. But a new wave of platforms is flipping that script by radically simplifying the experience, enabling anyone to build, deploy, and even monetize AI agents without writing a single line of code.

To understand how this future is already being built—and how it could reshape the role of creators and domain experts in the AI economy—we spoke with Pratap Behera, Founder and CEO of Nagent AI.

The Origin of Nagent AI

For Pratap Behera, the idea behind Nagent AI wasn’t born in a boardroom; it came from lived frustration. As a non-coder but a heavy user of AI tools, Behera found himself hitting a wall each time he tried to build functional AI agents for real-world marketing and content tasks. The tools were either too technical or too fragmented.

“I realized that even as someone who understood AI conceptually, I couldn’t bring my ideas to life without depending on engineers or juggling multiple expensive subscriptions,” he told us.

That pain point became the starting line for Nagent AI, a no-code platform designed to make building and deploying AI agents as simple as creating a presentation deck. With access to over 100 AI models and 200+ integrated tools, the platform allows users to automate complex business workflows, from marketing and research to sales and HR, without writing a single line of code. 

Despite launching in private beta just a few months ago, the platform has already gained remarkable traction. Since February 2025, over 100 agents have been published by users across 20+ countries, with no marketing spend.

More than 1,000 users from 100+ companies have signed up, and a growing community of 500+ creators is actively building AI agents. Nagent AI has also completed over 30 successful enterprise proofs of concept, with three companies converting into paying customers.

With a lean 15-member team and a recently closed angel round, comprising strategic operators and domain experts, Nagent AI is moving quickly. What started with three developers in November 2024 has grown into a purpose-driven team working to redefine who gets to build with AI, and how.

One Platform, 100+ Models, Zero Code

While many AI platforms promise simplicity, few truly deliver on accessibility and scalability, especially for non-developers. Nagent AI stands out in this increasingly crowded space by doing both. 

At the heart of Nagent AI is a unique proposition: a no-code, multi-model platform where users can not only build and deploy AI agents but also monetize them. According to Behera, most competing platforms either restrict access to a handful of models or demand technical expertise like prompt engineering or API juggling. 

Nagent, by contrast, integrates over 100 AI models, from GPT-4 and Claude to Gemini, Runway, and open-source tools, under a single interface called the Model Control Panel (MCP).

“The real power of Nagent lies in what we abstract away,” Behera explained. 
“We eliminate the friction of dealing with multiple AI providers and the guesswork of prompt tuning. You just focus on outcomes.”

Users can switch between models or combine them within the same workflow, creating dynamic, tailored agents. From marketing automation and lead scoring to content generation and research, these agents are functional and customizable, without requiring a single line of code.

The platform’s pricing model is another differentiator. With outcome-first pricing, users recharge tokens as they go, starting as low as $1, removing the friction of hefty monthly subscriptions. 

But what’s perhaps most groundbreaking is the integrated Agent Marketplace: a storefront of pre-vetted, domain-specific agents created by experts, available for discovery and deployment.

Subject matter experts can build agents based on their niche knowledge and earn revenue, effectively turning know-how into a product. As Behera puts it: 

“We’re building the App Store for GenAI—where every expert becomes a builder, and every business process can be agentized.”

Scaling with Purpose

For Nagent AI, the mission goes beyond building another automation tool—it’s about unlocking human potential at scale.

Behera emphasized that Nagent AI is creating new income streams, new workflows, and entirely new ways for individuals to productize their knowledge. It represents a shift in how AI is perceived—not as a replacement, but as an enabler.

That ethos runs deep through the company’s culture. With just 15 team members, Nagent AI has embraced a lean, ownership-driven approach that reflects its larger goal: building a platform that prioritizes creators, transparency, and long-term value. Every decision, from design to deployment, is guided by a set of values that emphasize speed, creator-first thinking, and ethical AI.

“Our vision is to make building AI agents as easy as building a website,” Behera explained. “If we succeed, every business process will have an agent behind it, and every expert will have the tools to scale their knowledge infinitely.”

In the short term, Nagent AI is focused on measurable growth: onboarding ten additional enterprise clients, enabling 100 new creators to launch their first AI agents, and expanding its footprint across high-demand use cases like sales, content, and marketing automation. Long-term, the goal is far more ambitious, reshaping the AI landscape so that scalable, agentic automation becomes the norm, not the exception.

Lessons in Founder Grit and Focus

Building a platform as ambitious as Nagent AI was never going to be easy, especially from India, where the default advice for early-stage founders is often to stay narrow. Behera, however, chose to challenge that narrative from day one.

“People kept telling us to build a feature-rich product, not a platform. But we knew that to truly democratize AI, we had to go wide—we had to go deep,” he said. 

The choice to build a multi-model, no-code agentic platform wasn’t just strategic; it was ideological. And while that vision was met with skepticism, the early traction is beginning to prove its merit.

Operating without institutional funding for much of the journey also forced the team into a kind of focused discipline. Every decision had to justify its value, every feature had to solve a real problem. 

For founders navigating their own path, Behera offers advice shaped by conviction, not convention: 

“Constraints aren’t roadblocks—they’re filters. They sharpen your focus and make sure you’re building what actually matters.”

He further notes the importance of building for scale from day one, staying obsessively close to your users, and surrounding yourself with a team that behaves like co-owners. Because in the end, vision might set the direction, but it’s grit, culture, and execution that take you across the finish line.

Today, with Nagent AI, Behera is challenging who gets to build with AI and what’s possible when the right people have the right platform. And if the company’s trajectory is any indication, the age of agentic creation might just be getting started.

Edited by Harshajit Sarmah