Where we use intelligence, and where we refuse to
AI is part of how the practice works. Here is exactly where it helps, where it never makes the call, and why we draw the line where we do.
We describe the practice as “attended by humans, amplified by intelligence”. That line is easy to say and easy to misunderstand, so it is worth being specific about what it means in practice.
Where intelligence helps
There is a lot of work in a job search that is necessary but not thoughtful. Tracking forty organisations. Noticing when a company starts hiring for a team that matches your background. Turning rough notes from a call into a structured summary. Producing a first draft that a person can then shape properly.
This is where our platform earns its place. It lets us:
- Watch the market continuously, so openings reach you while they are still fresh.
- Keep a complete record of every application, reply, and deadline, so nothing slips.
- Prepare research quickly, so your interview preparation starts from a strong base.
- Produce first drafts, which a person in the practice then reworks with you.
The effect is that the people working with you spend less time on admin and more time thinking about your search.
Where intelligence never makes the call
There are decisions we will not hand to software, however capable it becomes.
Whether you should apply. Deciding where to spend your energy depends on your circumstances, your ambitions, and things you tell us in confidence. That judgement belongs with a person who knows you.
What you claim about yourself. Every statement that goes out under your name is checked by a person against what you have actually done.
How to handle a sensitive reply. A rejection, a lowball offer, or an awkward question from a recruiter needs tact and context. We discuss these with you directly.
Anything sent in your name. Nothing leaves without you sending it yourself. Software does not apply for jobs on your behalf, and neither do we.
Why we draw the line here
The reason is accountability. When a decision affects your career, someone should be able to explain why it was made. A person in the practice can do that. A model can produce an explanation, but it cannot be responsible for it.
There is also a practical reason. Employers are increasingly good at spotting applications that were mass produced. The candidates who stand out are the ones whose materials clearly came from a thinking person with a real reason to want the role.
You can always ask
Because every action on your work is recorded, you can ask us at any point how a piece of work was produced, who reviewed it, and what changed along the way. We will show you. That transparency is not a feature we bolted on. It is the reason the practice exists.