EXPLORATORY SINGLE-CASE STUDY · DIGITAL LAB · KLAUS ARENT

A long-term observation of intensive use of generative AI in knowledge work

Since mid-2025 I have been documenting how working methods, productivity, decision load and project scope change when an experienced knowledge worker uses AI agents extremely intensively. Investigator and subject are the same person: me.

n = 1, self-reported, no control group. Study design and limitations are documented on the German site.

THE KNOWLEDGE GRAPH

The study's memory, relinked every night.

Every night at 3 a.m. an agent breaks the day's work into notes, links them and updates this graph. Only the anonymized topology is shown: dots and connections, no titles, no content. Curated main nodes are clickable.

DRAG = ROTATE · SCROLL = ZOOM

2,531 NOTES · 5,460 LINKS · AS OF 2026-07-24 · UPDATED NIGHTLY AT 3 A.M.

01 COLLECTED DATA

33
DOCUMENTED CASES
14,263
RECORDED GIT COMMITS
2.000+
DEPLOYMENT EVENTS 2026
~20
RUNNING SYSTEMS

These numbers measure activity, not success. Commits include experimental and discarded changes; deployment events include fixes and automated releases.

As of July 2026 · from my own git analysis

02 CROSS-SECTION OF CASES

03 DISCONTINUED CASES

When almost everything becomes buildable, more has to die.

Investigator, subject and operator of the documented systems are the same person. Prior experience and resulting biases are disclosed. Author and conflicts of interest →

The full study — findings, discontinued cases, research journal, study design — lives on the German site. Full documentation (German) →

The observation is running.