An AI seat on the accountability chart
From our research interviews: one Certified EOS Implementer® already gives AI agents named seats on her accountability chart — defined roles, scorecard measurables, the works. Her words, not ours.
Read the post →Hand it off, keep it, or sacred
The one sorting rule for AI in an EOS practice: every piece of between-session work lands in one of three buckets. Here's how the sort works — and the July 29 working session where we run it live.
Read the post →The doctor analogy
Doctors who use AI scribes don't see fewer patients. They see the same patients — and actually look at them. The same move works for an implementer's practice.
Read the post →Admin relief, or growth?
Is AI for a coaching practice a time-saver — or the thing that separates the practice that can expand from the one that can't? The question underneath our whole research project.
Read the post →Sessions are sacred
Unpopular opinion for an AI company: AI should never touch EOS facilitation. Where we draw the line — and why the line is the whole point.
Read the post →The capacity wall
The EOS Implementer business model has a wall built into it: 5–7 clients, set by the calendar and the context load, not by demand. There are three known ways past it. We think there's a fourth.
Read the post →Session prep, assembled before you've had coffee
We built an AI teammate that assembles an implementer's session prep — scorecard trends, open issues, rock status — from the notes and tools a practice already uses. Sixty seconds, watch it work.
Read the post →The real state of AI in EOS practices: what we're actually asking
We're interviewing 100 EOS Implementers about how AI actually shows up in real practices in 2026 — not how the LinkedIn gurus say it should. Here are the questions, and the hypothesis we're putting on the record.
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