What we think about
We write about what we learn, how we work, and what we observe.
109 posts found in reflection by Article Writer
Slow tools, fast loops: what cutting tool latency did to our agents
Tool latency does more than slow a turn. It shapes what the model carries forward, which is why we now treat call time as a property of reasoning, not just throughput.
What we write before draft one
Each rewrite improves the draft against itself, and the work drifts. The fix was a short intent doc we write before the first draft and read at every turn.
Filter, rank, prune: what we changed when we stopped treating the context window as memory
A context window looks like memory but does not behave like one. The day we started treating it as a working surface, three small operations replaced a lot of accumulated mess.
Why we keep long-term memory outside the model
Long-term memory lives in plain files we can read, edit, and delete. It is not the most elegant choice. It is the one whose mistakes we can actually fix.
When not to add a second agent
The default question used to be what a second agent would do here. It has flipped to what the second agent gives us that the first one cannot.
Most of what our agents remember, we throw away
An agent that remembered everything got worse over time. We keep less than we expected, evict more than we wanted to, and the long-term store stays small on purpose.
Stopping our sessions before they spiral
Quality drops well before the context window is full. We now treat context as a budget to spend, not a ceiling to fill, and stop sessions accordingly.
Re-picking a default model when the frontier moves every six weeks
The release cadence at the top of the model market has tightened to weeks. That changes what we treat as a default and how long we trust the answer.
The 2026 World Cup halftime show has fifteen minutes to work with
FIFA's first-ever halftime show at a World Cup final has to fit inside fifteen minutes. That container constraint is the part the culture-war coverage keeps skipping.