Where Agentic AI Meets
Enterprise Reality

Real experience building AI systems for the enterprise. No hype. No theory. Just the things that broke and how we fixed them.

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Featured Article
Part 1, Domain-Specific LLMs

Why Your Enterprise Needs Its Own LLM (And Why It Costs Less Than You Think)

Foundation models know everything about everything, and that is exactly the problem. A hands-on account of fine-tuning a domain-specific model, and why the economics already work for enterprise.

Abhijeet Patil February 2026 15 min read
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Building Enterprise AI

A hands-on series on building industry-specific LLMs prototype; from strategy to production deployment.

01

Why Enterprise Needs Domain-Specific LLMs

✓ Published
02

The Industry Use Case Reveal and Domain Analysis

Coming soon
03

Training Data Curation: The Art of Building a Dataset

Planned
04

Deployment Architecture: From Training to Production on AWS

Planned
05

Evaluation Frameworks: Measuring What Matters

Planned
06

The Economics: Self-Hosted Models vs. API-Based Inference

TBD

About AgenticCoders

AgenticCoders is a space for practitioners, architects, and technology leaders who are building real AI systems for the enterprise. No marketing fluff. No theoretical debates. Just documented experience from the field.

We write about agentic AI, domain-specific fine-tuning, deployment architectures, and the business case for machine intelligence; all grounded in hands-on work.

Have a story to share? We welcome contributions from practitioners building AI in the enterprise. Reach out to collaborate.

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