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Why temperature changes the answer, not the knowledge
Why temperature changes the answer, not the knowledge
08/09/2026 — [email protected]

Turning temperature down does not make a model more accurate. It makes it more repeatable — and confusing the two is how...

Training, fine-tuning and prompting are three different tools
Training, fine-tuning and prompting are three different tools
04/09/2026 — [email protected]

Teams reach for fine-tuning when they need context, and for prompting when they need behaviour. Knowing which problem ea...

Why models hallucinate, and what actually reduces it
Why models hallucinate, and what actually reduces it
31/08/2026 — [email protected]

Hallucination is not a glitch that a better model will one day remove. It is what generation does when it has nothing to...

System prompts: the instructions the user never sees
System prompts: the instructions the user never sees
29/08/2026 — [email protected]

A system prompt sets the rules for everything that follows. Written well it is the cheapest quality improvement availabl...

Choosing between a large model and a small one
Choosing between a large model and a small one
25/08/2026 — [email protected]

Most production traffic does not need the largest model available. Routing by task rather than defaulting to the top of...

An agent is a loop, not a personality
An agent is a loop, not a personality
23/08/2026 — [email protected]

Strip away the branding and an agent is a small loop: call the model, run the tool it asked for, feed the result back, r...

Tool calling is an API contract the model can read
Tool calling is an API contract the model can read
21/08/2026 — [email protected]

A tool definition is documentation with a schema attached. Write it for a capable colleague who has never seen your syst...

Why agents fail on long tasks
Why agents fail on long tasks
19/08/2026 — [email protected]

An agent that handles five steps beautifully can fall apart at twenty. The reason is rarely reasoning — it is that the c...

Giving an agent memory without giving it amnesia
Giving an agent memory without giving it amnesia
17/08/2026 — [email protected]

Memory is not a feature you enable. It is a set of decisions about what to keep, what to summarise and what to let go —...

When a workflow beats an agent
When a workflow beats an agent
15/08/2026 — [email protected]

If you already know the steps, do not ask a model to rediscover them on every request. A fixed pipeline with model calls...

What an AI agent can actually do with a design system
What an AI agent can actually do with a design system
13/08/2026 — [email protected]

Given a real design system, a model stops inventing interfaces and starts assembling them. The difference is not the mod...

Reviewing AI-generated UI: a checklist
Reviewing AI-generated UI: a checklist
05/08/2026 — [email protected]

Generated interfaces fail in a predictable set of places. Knowing which ones turns review from a vague unease into a lis...