New question Perspectives
How can I use AI more effectively at work?
One question, many minds — swipe through each brain's take, then continue with the one that fits.
Chris March
Leadership · Executive coaching · Transitioning into senior leadership roles (Director, VP…)
Strong match
Chris helps leaders work effectively in complexity — with a practical AI-at-work lens.

I'd use AI as an amplifier of your best work, not a replacement for your judgment. Start by looking at where your day gets eaten by manual or repetitive tasks — admin, drafting, inbox triage, routine support — and ask: can AI handle a first pass so I can focus on higher-value work?

Then get clear on the use case. Don't just use AI because it's available; decide what problem it should solve, what good output looks like, and where you still need a human in the loop. That matters for quality, ethics, and trust.

I'd also be careful not to outsource your critical thinking. The real advantage now is pairing AI with the things it can't take from you: communication, emotional intelligence, tone, and your own judgment.

Dave Clare
Culture · Strategy · Scaling — evolution vs. growth
Also strong
Dave looks at AI through a culture lens — how teams adopt tools without losing the human thread.

People jump to tools. Start one level up: what's the outcome you're structuring the work around? Once that's clear, AI becomes obvious — you use it to remove the friction between where you are and where you're trying to get.

Involve the team in choosing where AI helps. If it's imposed, it's noise; if they shape it, it's leverage. Treat AI as a teammate you brief well, not a vending machine.

And protect the first version of anyone's thinking. Let AI speed the mundane so the team spends its energy where only humans add value.

Melo Adigun
Productivity · Systems · Deep work for busy teams
Also strong
Melo is practical and systems-first — the concrete "do this on Monday" version.

Pick one workflow you repeat weekly and template it with AI end-to-end before you touch anything else — a report, a recap, a first-draft reply. Get one win that saves real time; momentum comes from proof, not from adding ten tools.

Keep a running "prompt library" of the ones that worked. Your edge isn't the model, it's the reusable setup around it.

Guardrail: anything client-facing or high-stakes gets a human read before it ships. Speed on the draft, judgment on the send.

Yvonne Park
Focus · Attention · Avoiding burnout while going faster
Different angle
Yvonne watches the cost side — using AI so it protects your attention, not fragments it.

The trap with AI at work is that it makes it easy to do more, not to do the right things. Before automating, ask whether the task should exist at all.

Use it to reduce context-switching: batch the small stuff into an AI-assisted block instead of letting it drip through your day. The win isn't output — it's reclaiming uninterrupted time for the work that actually needs you.

Dr Gina Cleo
Habit change · Behaviour — making new tools actually stick
Different angle
Gina's lens is behaviour: how to make an AI habit stick past week one.

Most people try AI once, it's clunky, and they drop it. Treat it like any habit: attach it to something you already do. "After I open my inbox, I draft replies with AI." Small, cued, repeated.

Lower the bar to start — one task, not a workflow overhaul. Consistency beats intensity; the tool only helps if you keep coming back to it.