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Transcript
Artificial intelligence is beginning to do more than answer questions. An AI agent can follow a goal, use different tools, and complete several connected steps. That could make everyday work simpler — but responsibility still belongs with us. Delegate the process. Keep the judgement.
Full transcript of Briefing 01, 0:15, published 3 August 2026.
Key points
- An agent pursues a goal rather than answering one prompt
- It can call several tools and chain connected steps
- Simpler work does not mean transferred responsibility
- Delegate the process; keep the judgement
What changes when a tool has a goal
The practical difference between a model and an agent is persistence. A model responds; an agent keeps going — choosing a next step, calling a tool, reading the result, and deciding what to do about it, until it decides the goal has been met.
That makes a real category of work simpler, particularly work that was previously tedious because it spanned several systems. It also means the interesting decisions are being made inside the run, where nobody is watching them one by one.
Delegating the process, not the judgement
Delegation has always had this shape. A manager who hands a task to a colleague delegates the execution and retains responsibility for the outcome; nobody finds that confusing. The same distinction applies here, and it is worth stating plainly because the language around agents tends to blur it.
In practice this means being specific about what an agent may do without asking — which systems it may touch, what it may spend, what it must escalate — and keeping a person accountable for the goal it was given in the first place.
Frequently asked questions
What is an AI agent?
A system given a goal rather than a single question. It plans steps, uses tools, reads the results and continues until it judges the goal met.
What can safely be delegated to an agent?
The process — the sequence of steps needed to carry out a task within defined limits. What cannot be delegated is responsibility for the goal and for acting on the result.
What limits should be set before using one?
Which systems it may access, what it may commit or spend, and which situations require it to stop and ask. These are easier to set beforehand than to reconstruct afterwards.