You should not have to feel technical before you ask for help. The work is designed for people and teams who need patient guidance, plain language, and one usable next step with AI.
It began with people, pressure, and the patience to stay with a problem long enough for the next clue to appear.
“The person in front of the problem is more important than looking technically impressive.”
A people-first background shaped the method: understand the pressure, reduce shame, reflect what is real, then help the next action become visible.
AI advice often becomes too abstract too quickly. Try Next starts with the human moment around the task: what is happening, what feels unclear, and what would make one next move useful.
The public method is simple: Notice, Narrow, Try, Next. Make the moment small enough to try, give the tool useful context without giving away what should stay private, and keep your judgment in charge of what happens next.
Your starting point should be safe to say before it is polished into a plan.
AI should reduce confusion, repeated work, or decision drag, not create more homework.
Every session should create something useful: a decision, a draft, a prompt, a workflow, or a next action.
The handover should be clear enough for you or your team to keep using after the conversation.
Bring the thing that feels stuck. The first move is to make it clear enough to act on, then choose the right container only if deeper support makes sense.
