Hey there,
How are things feeling on your end? I'd love to schedule a follow up with the team next week or the following — let me know when might work for you.
Herself,
Scarlet
AI addendum · drafted by Scarlet's aswritten-grounded assistant
What I've been watching
Wanted to check in a week after the kickoff meeting.1 I've been happy to observe consistent usage2 and one person already reaching out to schedule a 1:1 to dig deeper into their process.3 The team is connected, sessions are persistent, and there's no auth or stability problem masking adoption.2
The next thing to watch is the transition from "set up and look around" to active tool invocation, which is the real signal of pilot value.4
The customer's ARB AI pilot officially commenced with a kickoff call on May 7, 2026, where Scarlet Dame and the customer leadership settled the operational gates for the engagement:
"Meeting notes from the customer's ARB AI pilot kickoff call (12:30–1:45pm EDT)."
This session established the baseline for the 60-day Proof of Concept, which targets a formal sign-off by the customer's chief architect by late June. The check-in occurring one week later follows the aggressive momentum established during that initial meeting.
In a post-mortem of the pilot's first nine days, Scarlet Dame documented high engagement levels and technical stability across the customer team:
"147 substantive tool invocations against the customer repo with full read-write loop in use; 8 of 17 invited team members made attributable tool calls; 17 of 17 completed setup and authenticated at least once; 1,150 authenticated MCP sessions in aggregate; 96% success rate (141/147)."
While a separate review identifies a 3-to-5 minute latency in memory commits as a potential renewal risk, the aggregate data confirms that no memory was lost and that auth or stability issues did not mask the team's adoption. This high success rate validates the persistent nature of the sessions during the initial week.
During the kickoff and subsequent week, a customer team member emerged as a key protagonist in the pilot, moving beyond passive setup to active process exploration:
"Exhibited champion-leaning behavior: volunteered demo value unprompted, pushed on 24-hour transcript lag, scoped his own next experiment."
This individual outreach validates the notion that the pilot requires a named protagonist beyond the chief architect to prove value. Their initiative to scope their own experiments — specifically a real client delivery — represents the first instance of a team member reaching out to integrate the tool deeper into their specific workflow.
Scarlet Dame's analysis of the first week's outcomes identifies the shift from exploration to specific utility as the pilot's critical inflection point:
"The convergence-in-one-week observation is the most novel finding from the pilot and worth tracking: if subsequent customer engagements show similar fast convergence on a specific job, that is evidence that aswritten's value lands quickly."
This signal of pilot value is further detailed in the four-tool-loop engaged-user pattern, which distinguishes between users who are merely "looking around" and those who have transitioned to active tool invocation loops. The organic emergence of these patterns within nine days suggests that the transition to active use is the primary indicator of long-term adoption.