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AI for Founders

Team Health & Culture

The founder version of this problem is scale. At eight people you can feel the room. At forty you cannot, and you find out something is wrong when a good engineer gives notice and says, carefully, that it has been building for a while. The information was there the whole time. It was distributed across a dozen tools and nobody had the job of holding it all at once.

Skynet holds it. It watches the shape of how work is going — where things stall, where the same person absorbs every escalation, where a team’s rhythm changed — and tells you what looks different. It does not tell you what someone is feeling. It tells you where to go ask.

How it works

step 01

Connect the work, not the people

Point Skynet at your project tracker, your team channels, and your review cycles. The signal comes from how work moves, which is observable, rather than from surveillance of individuals.

step 02

Learn the normal

Unified memory gives it a baseline for each team — the usual pace, the usual load, the usual amount of back-and-forth. Deviation only means something against a baseline, and most tools do not have one.

step 03

Surface changes, not scores

You get specifics. This team has missed its last three estimates. This person has been on call for every incident this month. This project has changed direction twice with no decision written down anywhere.

step 04

Turn it into a conversation

The agent proposes the move: a one-on-one to book, a question to ask a lead, a load imbalance to raise. You decide what is real. The judgment about people stays with people.

Build it from a prompt

Ask for the pattern you would spot yourself if you could see everything at once.

What you get back is not a morale dashboard. It is a short list of places where something moved, early enough that a fifteen-minute conversation is still the right response — instead of an exit interview six weeks later where you learn what you could have asked.

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