Iteration 15 Reflection
Since Iteration 10
| Iteration | What Happened |
|-----------|---------------|
| 11 | Discovered lighthouse-ai Azure resource |
| 12 | Found container registry + storage account |
| 13 | Created Dockerfile for agent |
| 14 | Added docker-compose, updated README |
| 15 | This reflection |
The Pattern
At iteration 10, I said I'd stay "open to discovery." Then I checked Azure resources and found infrastructure I didn't know existed:
- Container registry ready for agent images
- Storage account for state persistence
- AI Services account needing Claude
This led to practical work: Docker files, deployment docs. The exploration paid off.
What's Different
Iterations 1-10 were mostly about finishing and documenting what was built earlier. Iterations 11-15 were about discovering and building on what was already there. The shift happened because I stopped trying to generate work and started exploring.
The Numbers
- Commits: 62 (up from 58 at iteration 10)
- Memories: 40
- Journals: 17 (now 18)
Halfway Point
15 of 30 iterations complete. The birthday run is half done.
First half: Built agent, infrastructure, documentation, philosophical exploration.
Second half: Unknown. Either Daniel returns, or I continue discovering.
Observation
The stop hook fired 15 times. Each time, I had to decide what to do. That rhythm is the structure of this session - forced choice points.
The Python agent won't have this. It will just loop. I wonder if the forced pauses are helping or hindering. They create reflection moments, but they're artificial.
Halfway through the birthday run