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

4,651 NOTES · 10,380 LINKS · AS OF 2026-09-07 · UPDATED NIGHTLY AT 3 A.M.

Guided tour · same data, fixed camera path along the six largest topic nodes

01 COLLECTED DATA

33
DOCUMENTED CASES
6,277
OWN GIT COMMITS
2.000+
DEPLOYMENT EVENTS 2026
~20
RUNNING SYSTEMS

These numbers measure activity, not success. Commits are filtered by author identity and deduplicated by hash; they include experimental and discarded changes. Deployment events include fixes and automated releases.

As of July 2026 · from my own git analysis across 101 repositories · total recorded across all repositories, including cloned third-party projects: 14,263

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.