The Pipeline

As Agentic AI applications transition from experimental prototypes to production scale, finance and engineering teams are colliding over a new reality: the cost of autonomous operations.

In an earlier article in 2024 I wrote about red teaming AI systems through an adversarial lens- how inputs can be crafted to expose weaknesses, and how thinking like an attacker reveals hidden failure modes.

Next industrial revolution Recently as part of the Chinese lunar new year celebration there was a showcase of there was a showcase of humanoid robots performing complex, coordinated Kung Fu movements—something that was not feasible even a year ago due to…

In the last post we discussed context memory of agents.

Most agent failures aren’t model failures - they’re memory failures.

Prompt Engineering as a practice came up with the statement- “English is the new programming language”.

In part 1 of LangSmith observability post we had introduced how to do basic setup and view basic trace information in LangSmith portal.

AI governance that we see today across the world is likely influenced by the history and collective experience of the people in the regions.

Working with Large Language Models (LLMs) can often feel like a black box.

What is MCP?