Field notes

From the operators building the new intelligence agencies.

POV from the founders, customers, and engineers shipping agentic AI in production. ADL deep-dives. Federation Model architecture. Hyperscaler watch. No recap. Only what you can't read anywhere else.

Dec 11, 2025

Agents, Not Workflows, Should Be the First-Class Citizens of AI Platforms

For the last decade, automation has been shaped by a simple mental model: “Draw a workflow. Drag some nodes. Connect APIs. Ship.” Tools like n8n, Make.com, and many others have built powerful ecosystems around this idea. They treat workflows as the first-class abstraction: everything else, int

Swanand Rao →
Dec 4, 2025

Agent Definition Language (ADL): The Open Source Standard for Defining AI Agents

GitHub Repository: https://github.com/nextmoca/adl

Swanand Rao →
Nov 7, 2025

Breaking the First Prompt Barrier: How Next Moca Is Redefining the AI Experience

The Hidden Friction in AI: The First Prompt Every interaction with a large language model (LLM) begins with a moment of hesitation. A blank screen. A blinking cursor. And a simple question that stops even experienced users: “What should I ask?” This moment defines what we call the first promp

Swanand Rao →
Oct 28, 2025

Delivering Real Enterprise Value with Next Moca’s EAP - ADLC in Action

Discover how Next Moca’s Enterprise Agent Planner brings the Agent Development Life Cycle (ADLC) to life with instant iteration, audit trails, and enterprise-grade reliability.

Kiran Kashalkar →
Oct 14, 2025

Beyond SDLC: Embracing the Agent Development Life Cycle (ADLC) for Intelligent Systems

Discover how the Agent Development Life Cycle (ADLC) transforms enterprise AI — enabling adaptive, governed, and reproducible agent workflows that scale beyond demos. The shift from SDLC to ADLC marks a new era for enterprise AI. Instead of static applications, organizations are now building adaptive, intelligent agents that evolve through feedback, governance, and human-in-the-loop learning.

Kiran Kashalkar →
Sep 16, 2025

Governance, Trust, and Reproducibility: Why Agent Workflows Need a System of Record

Discover how governance, reproducibility, and multi-tool integration drive business success with Next Moca's Enterprise Agent Planner.

Kiran Kashalkar →
Sep 4, 2025

Enterprise Agent Planner - The Missing System of Record for AI Agents

Enterprises need more than flashy demos — they need a system of record for AI agents. Next Moca's Enterprise Agent Planner delivers workflow automation, multi-agent orchestration, and AI governance with a declarative approach. Unlock value with reusable AI agents, agentic AI, and secure, compliant enterprise AI adoption.

Kiran Kashalkar →
Aug 26, 2025

Scaling AI Agents Across Teams Without Rebuilding From Scratch

How shared, reusable AI agents unlock productivity and consistency across departments

Kiran Kashalkar →
Aug 19, 2025

The Dawn of AI Agencies: Transforming Business Workflows with Next Moca

In the ever-evolving landscape of business technology, a new era is upon us—one that promises to redefine how organizations operate and innovate. Welcome to the dawn of AI agencies, where the fusion of artificial intelligence and business workflows is not just a possibility but an imminent reality. At the forefront of this transformation is Next Moca, a pioneering platform that simplifies the creation of AI agents, enabling businesses to rapidly adopt AI-driven productivity.

Swanand Rao →