Conversations read per week
6 Jul to 21 SepBeyond a plain chat
Operating at an Advanced level · step 4 of 5 · 0.7 points from Native
Multi-session arcs, strong prompt construction and adversarial checking on consequential work.
7.8
/10
How Marcus works with AI
Marcus treats the AI like a sharp analyst on the account team. It gets the full history: calls, tickets, and usage notes. Then it has to argue against the renewal before Marcus trusts the renewal. Strong judgment, and a steady habit of checking the numbers.
Professional background
Manages a book of 40 mid market accounts. Six years in customer success after three in account management. Owns renewal health for Tier 2.
AI fluency · five dimensions
Read from the conversations Marcus really had with an AI assistant, every one of them, not a quiz or a self-assessment. Click a dimension to see what it measured and what the read found.
7.8 /10
Operating at an Advanced level
Read from 90 conversations, 1 July to 30 September 2026. Strongest on Discernment, with Description the dimension to grow.
Discernment leads. Marcus asks the AI for the case against a renewal and weighs it against what the customer said on the last call. Two reads show a confident forecast thrown out because the usage numbers did not match.
Description has the most room. The briefs carry the right data and leave the goal implied. Saying what the summary is for, and who will read it, would save a round of back and forth.
How clearly they specify what they want: goals, constraints and examples.
Briefs carry the full account history. The goal is often left implied, so the first draft can answer a different question.
Scored 6.6 on the first read and 7.2 on the latest.
Shared with the company
What Marcus built and shared. Every card links to the company library.
Renewal risk digest
A weekly page that lists accounts going quiet, with their last three touchpoints.
Marcus Oyelaran Customer Success, Tier 2Tools and platforms
Everything Marcus builds and thinks with, grouped by job. A pink mark means it was found in a repository or archive; a dashed mark means it was listed on a project.
