How to build fully autonomous production grade AI Agents quickly ?

Building AI Agents iteratively from low agency to high agency

Apr 1 • 

Selvaganapathy C

March 2025

Four Major Design Patterns for Agentic Workflows

Insights from Andrew Ng's BUILD 2024 Keynote

Mar 19 • 

Selvaganapathy C

1

February 2025

Why Agentic Workflows are Revolutionizing Problem-Solving

Agentic AI workflows beat traditional one-shot AI by breaking tasks into human-like iterative steps

Feb 12 • 

Selvaganapathy C

1

From "𝐀𝐠𝐞𝐧𝐭𝐬" to "𝐀𝐠𝐞𝐧𝐭𝐢𝐜" Systems: AI Terminology Evolution

Evolution of AI terminology from binary 'agents' to spectrum-based 'agentic' systems

Feb 6 • 

Selvaganapathy C

1

January 2025

The DeepSeek Disruption: Why Now is the Golden Age of AI Engineers

Plummeting cost of intelligence

Jan 28 • 

Selvaganapathy C

1

November 2024

AI Engineering 101 : What It Is and How It Differs from Other Disciplines

Explore AI Engineering, an emerging discipline that focus on building applications with pre-trained AI models.

Nov 24, 2024 • 

Selvaganapathy C

September 2024

Why Salesforce’s Agentforce is a Game-Changer for AI Engineering

Agentforce is a low-code/no-code platform for building autonomous agents

Sep 10, 2024 • 

Selvaganapathy C

1

What is AI Model Adaptation, and Why Does It Matter for your AI application ?

AI Model Adaptation - The process of tweaking foundation models to suit your application

Sep 1, 2024 • 

Selvaganapathy C

1

August 2024

GitHub Models: Build and Deploy your first AI App in 5 minutes

Your launchpad for getting started to AI Engineering

Aug 18, 2024 • 

Selvaganapathy C

Optimizing AI Performance and Cost by Combining RAG and Long Context

Discover how the hybrid approach of combining RAG with long-context LLMs can optimize both performance and cost

Aug 5, 2024 • 

Selvaganapathy C

2

Ensuring Security in AI Applications with OWASP Top 10

𝗜𝘀 𝘆𝗼𝘂𝗿 𝗔𝗜 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘀𝗲𝗰𝘂𝗿𝗲? 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗳𝗿𝗼𝗺 𝗢𝗪𝗔𝗦𝗣 𝗧𝗼𝗽 𝟭𝟬 𝗳𝗼𝗿 𝗔𝗜…

Aug 1, 2024 • 

Selvaganapathy C

July 2024

AI Model Optimization Methods: Balancing Customization and Training Data Requirements

Need for customization increases (from Prompt Engineering to Instruction Fine-tuning), so does the requirement for extensive training data.

Jul 30, 2024 • 

Selvaganapathy C

1