Agentic AI in the enterprise: Self-evolving LLMs

In this video, Writer co-founder and CTO, Waseem AlShikh, shares our latest breakthrough: Self-evolving LLMs that get smarter the more you use them.

LLMs can think, reason, and solve complex problems. But they can’t adapt to new information. Most models are frozen in time — a time-capsule stuck at the point their training data ends.

That’s not how humans work:
We learn from our mistakes. We reflect, revise, and — most importantly — we remember.

Context changes. New data emerges. Out-of-date info gets revised or replaced. What if your enterprise AI could update itself without expensive, time-consuming retraining? To deliver more accurate, effective outputs, LLMs must evolve in real-time — just like humans.