We Started Building Agents Before Anyone Believed It Was Possible

Prasad Thammineni
Prasad Thammineni
·6 min read
Agentman platform overview showing AgentStudio, AgentForge, AgentLens, and AgentWatch - Ship AI Agents with confidence

Two years ago, we started building a no-code agent platform.

Most people told us it couldn't be done.

"You need Python frameworks like CrewAI."

"Real agents require code orchestration."

"No-code can't handle complex workflows."

They were wrong. And now the market is learning that the hard way.

This is the first in a series of posts sharing what we've built, why it matters, and where we're headed. But before I get into the details, I want to share the journey—because how we got here explains why we're ahead.


The Evolution of Agent Building

2023

"You Can't Do That"

Industry skepticism

2024

"Code-First Is the Way"

Frameworks dominate

2025

"Wait, This Works?"

Validation arrives

Two Years Ago: "You Can't Do That"

When we started, the conventional wisdom was clear: agents require code. You needed frameworks. You needed orchestration logic. You needed engineers.

We disagreed.

We believed that as language models got smarter, the orchestration layer would get simpler. The complexity would shift from "how do I wire this together" to "what do I want this agent to do."

That bet is paying off.

Today: "Wait, This Actually Works?"

Now we're watching companies learn what we knew two years ago:

Code-first frameworks have become liabilities:

  • Hard to maintain as models evolve
  • Unnecessary orchestration that fights the LLM
  • Impossible to scale as workflows multiply
  • Every model upgrade requires code changes

For complex coding agents? Sure, you might need Python. But that's 5% of the market, not 95%. We built for the 95%.


But Building Isn't Enough

Here's what we learned after hundreds of agent deployments: building is the easy part.

The hard parts are:

1. Testing — How do you know it works before customers find out it doesn't?
2. Observing — When something breaks, how do you figure out why?
3. Monitoring — Once deployed, how do you know it's still working?

We solved building first. Then, as we began to ship production agents, we realized that we needed to solve the whole lifecycle.


The Flywheel

BUILD

AgentStudio

TEST

AgentForge

OBSERVE

AgentLens

MONITOR

AgentWatch (2026)

It's not three separate products. It's one continuous loop:

  • Prototype and build an agent in AgentStudio
  • Test it in AgentForge
  • Observe production behavior in AgentLens
  • Improve based on what you learned
  • Repeat

That flywheel doesn't exist with standalone tools. You're copying data between systems, losing context, and slowing down iteration.


From Builder to Platform

Agent Builder

Agent Platform

One-time setup

Ongoing improvement

Competes on features

Competes on outcomes

Easy to replicate

Hard to replicate

Tool

Infrastructure

We're not selling a tool. We're selling the infrastructure for the agent economy.


What's Coming in This Series

Over the next two weeks, I'll share the details:

  • Tomorrow: The architecture that enables growth without rewrites
  • Thursday: Why we're model-neutral, cloud-agnostic, and independent
  • Next week: Platform deep dive, AgentLens launch, and our 2026 vision

This post was the "why." The next ones are the "how" and "what's next."


Try It Yourself

If this resonated, the best next step is to experience the platform firsthand. Build an agent. Test it. Watch it work.

Get Started Free →

Questions? Just reply to this email or reach out at contact@agentman.ai.