How an AI brain learns your judgement
An AI brain holds how you judge, and you decide what goes into it. How we build one, how it stays right and why it outlasts any model.
Ideas you can use.
An AI system gets better at your work when every correction is kept with its reason
How do I make an AI system learn from our corrections over time?
People should decide what reaches the outside world, what cannot be undone and what sets the standard
What decisions should humans still make when AI can do most of the work?
Keep a company's judgement when senior people leave by recording its decisions and the reasons behind them
How do I stop my company's knowledge and judgement leaving when senior people leave?
Expertise becomes more valuable as AI improves, because judgement is the part AI cannot supply
Will AI make expertise less valuable in the future economy?
An AI brain starts from what your business already knows. A general assistant starts from zero every time
What does an AI brain do for a leadership team that a general AI assistant cannot?
Adtech can't compete on the model any more. Here's what is left to defend
How do adtech companies compete once AI can build targeting models without them?
An AI decision tool earns trust by holding your judgement, not by passing an audit
How do I evaluate whether an AI decision tool is trustworthy enough for my leadership team?
An AI center of excellence without an engineering budget is a governance function, not a team
How to build an AI center of excellence without a dedicated engineering budget?
Total addressable revenue for AI products in publishing: calculate it from your P&L, not a market report
How do I calculate the total addressable revenue opportunity for AI products in publishing?
The start cost: why good AI work gets deferred
Good ideas often stall because starting them takes too much effort. The right AI context can lower that cost.
Put AI inside clear business rules
A practical way to show what AI is for, what it may decide, how the work is checked and who owns the final call.
Use AI to see more without losing your taste
AI can widen the field. Your experience, judgement and taste still decide which idea deserves to move.
Four ways leaders can work better with AI
A practical way to use AI for first drafts, better checks, repeatable work and harder decisions.
Why practice changes more than a training day
Training can create interest. Practice with real work is what turns that interest into a useful habit.
Find the AI work already happening in your team
A calm way to learn what people use, protect what matters and keep the experiments that are genuinely useful.
How to tell whether AI work is paying back
A practical way to measure time returned, work improved and what that time makes possible next.
From one-off AI help to systems you can reuse
Simple AI help is useful. The larger gain comes when your context and standards make the next piece of work better too.
How to test an AI vendor before you commit
Five checks that turn a polished demo into a clearer product, data and contract decision.
A useful first 30 days of building with AI
A practical month for choosing real work, testing a small number of systems and keeping the evidence.
How an executive team can learn AI together
A practical way to build shared judgement around AI by working on one real decision together.