Runwork
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They open the AI and do not know what to ask

Your team gets suggestions drawn from their own work, and skills a colleague already saved. Nobody has to invent a good question from nothing.

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The Challenge

  • You bought everyone an AI tool. Most of them use it to rewrite emails
  • The blank box is the problem. People who are good at their job freeze in front of it
  • Training tells people what the tool can do, not what to do with it on a Tuesday afternoon
  • The people who would benefit most ask for the least, because they do not know what is possible
  • Somebody tried it, got a poor answer, decided AI is overrated and stopped

The Runwork Solution

  • Suggestions come from the work each person actually does, not from a list of things AI is good at
  • Reflection runs on its own after a piece of work and points out the thing worth saving, so nobody has to notice it themselves
  • The analysis happens on your own machine and your conversations stay there
  • A colleague already saved the skill. Your AI can run it, and you never have to write the prompt behind it
  • A person who is stuck can be paired with the person already doing that kind of work, because you can see who that is

What your team gets

A suggestion from your own week

Not a tip about what AI can do. A specific thing you did three times, and an offer to save it so you never do it the long way again.

The prompt you never had to write

Somebody on the team worked out how to get the AI to produce the client update properly. You ask for a client update and get theirs.

The first useful thing on day one

A new person connects their AI tool and it already reaches what the team has saved. Their first question gets a real answer about your business.

A next step aimed at you

Not the same training everyone got. A weekly nudge based on where you actually are, which for one person is connecting a tool and for another is saving their first skill.

The one who gives good answers

You can see who on the team is already good at this. The person who is stuck asks them instead of guessing on their own.

Something to do with the boring part

The part of your job you dislike most is usually the part AI is best at. Reflection tends to find it, because it is the thing you keep doing.

A Day in the Life

9:00 AM. The blank box. You have an AI tool open and no idea what to put in it. This is the actual problem with AI at work, and no amount of training fixes it, because the answer is not general. It is about your job, this week.

11:00 AM. You do something the long way. You spend forty minutes getting the AI to produce a decent supplier comparison, with a lot of back and forth. It works in the end. Ordinarily that would be where it ends.

11:45 AM. Something noticed. Shortly after you finish, reflection runs on your machine and leaves you a suggestion: that comparison is the third one this month and it should be saved. You did not ask it to look, and the conversation it read did not leave your laptop.

2:00 PM. You ask for something you did not know you could have. A colleague saved a skill for chasing overdue invoices last month. You ask your AI to chase the overdue invoices and it does, using their work. You never saw the prompt and did not need to.

3:30 PM. A nudge that is about you. Your next step arrives, and it is not the same one everybody got. You have been using AI daily and have never saved anything for anyone else, so that is what it suggests.

4:30 PM. You ask a person, not the machine. You are stuck on something the AI keeps getting wrong. You can see who on the team already works this way, so you ask them, and it takes four minutes.

Frequently Asked Questions

How does Runwork know what to suggest to me?
From your own work, not from a list of things AI is good at. Reflection looks at what you have actually been doing with your AI and picks out the thing you keep repeating, which is almost always the thing worth saving. That is why the suggestions are about your job rather than about the tool, and it is the difference between a suggestion and a tip.
Is something reading my conversations?
Your own AI is, on your own machine, and they stay there. The analysis is local: transcripts are read where they already are, and what leaves is the thing you choose to save, like a skill. Nobody is shipping your chat history anywhere to have it looked at.
Do I have to run something to get suggestions?
No. Reflection is on by default and runs on its own when there is enough new work to be worth looking at, rather than on a fixed clock, so a quiet week does not produce noise. You can also run it yourself whenever you want. It arrives after a piece of work rather than as a weekly summary of things you have already forgotten.
What if somebody on the team is not stuck, just uninterested?
Then a suggestion aimed at their own work is a better argument than a training session. Somebody who looks uninterested has often tried it once, got a poor answer and drawn a conclusion about the whole category. What changes that is one specific useful thing about their actual job, rather than a course about the tool.
Where do the skills a colleague saved come from?
From somebody on your team doing the work and saving it, usually because reflection pointed out they had done it three times. Saved skills reach the whole team, so the answer to "what should I ask" is often something a colleague has already worked out, and you get it without having to know they did.

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