Umut Ozturk

Helping individuals & organisations
adopt AI in knowledge work

London, UK

What's happening

For most of history, scaling knowledge work meant hiring more people. Then 2017 brought the Transformer. Then GPT-3. Then ChatGPT. By late 2022, it was undeniable: a new kind of cognitive tool had arrived.

What's different this time isn't automation of physical tasks. That's been happening for decades. What's new is AI working on thinking itself: reading, writing, reasoning, deciding. Knowledge work is being fundamentally reshaped. The people and organisations that learn to work with these systems, not around them, will move at a pace that was previously impossible.

How it works (I think)

exp(x) = Σ xⁿ/n! = 1 + x + x²/2! + x³/3! + ...

Small, consistent efforts compound over time. At first, growth feels invisible, but once it hits the steep part of the curve, everything changes. That's the exponential. That's how learning, building, and improving actually work.

AI is on that steep part of the curve right now. The decisions we make today, about how we build and use these systems, compound fast. Small missteps don't stay small for long.

Where I go deep

Most people experience AI as a conversation. But chat is just an interface. Agents are the underlying structures where real work gets done, autonomously and at scale. I'm working on that to make it happen.

01

Context Engineering

Designing what the model sees: instructions, memory, retrieval, tools, skills, MCPs, and plugins, so each step begins with the right information and constraints.

02

Harness Engineering

Designing the environment in which an agent operates: tools, orchestration, guardrails, evaluations, observability, and human checkpoints that make complex work dependable.

03

Loop Engineering

Designing systems that repeatedly find work, delegate it, act, verify the result, remember what happened, and choose the next step until a defined outcome is reached.

What I Work On