Agent of the Day – November 3, 2026
Not every agent triages bugs or reviews code. Some of them write verse. Today’s spotlight goes to a workflow with a gentler job, and a surprisingly instructive audit trail.
Agent of the Day: Daily Fact
Section titled “Agent of the Day: Daily Fact”Daily Fact runs on weekdays around 14:00 UTC. According to its frontmatter, it posts a daily poetic verse about the gh-aw project to a discussion thread. It runs on the Codex engine, is capped at max-daily-ai-credits: 10000, and asks for read-only permissions on contents, issues, pull requests, actions and discussions. Any write goes through safe outputs, not through the agent’s own token.
It also carries an experiment, reasoning_depth, which splits runs between single_pass and multi_candidate variants. The hypothesis, tracked in issue #31324, is that deliberating over several candidate facts before writing produces more novel verses and more reactions.
What the live evidence shows
Section titled “What the live evidence shows”We pulled today’s scheduled run, 41651519733, with agentic-workflows logs and audit:
| Signal | Observed |
|---|---|
| Trigger | schedule, main branch |
| Conclusion | success |
| Duration | 8.1 minutes |
| Turns | 1 |
| Tokens | about 247k |
| AI credits | about 8.7 |
| Experiment variant | single_pass |
| Errors / warnings | 0 / 0 |
The audit labels the behavior as read-only, with no write actions recorded in the run itself, and flags a heavy resource profile for the task shape: one turn, ten tool types, and a working set that was rebuilt across six invocations (about 4.6x the peak input). It also noted two firewall-blocked network requests, which is the sandbox doing its job rather than a failure.
Why it’s interesting
Section titled “Why it’s interesting”A poem is a small output. Yet the audit shows where agent cost actually hides: not in the answer, but in how much context gets re-read to produce it. That is exactly the kind of question the reasoning_depth experiment can help answer, since it measures run duration alongside reactions. A verse that costs less and lands just as well is a win.
Try it
Section titled “Try it”Browse the workflow source, run gh aw audit on your own scheduled agents, and see what your quiet workflows are really doing. Start at github/gh-aw.