Mar 3 · 6 min read · Peeling the illusion: where engineers miss the real failure modes As a principal systems engineer, the goal here is to deconstruct the assumptions that turn architectural choices into brittle systems. The usual checklist-more parameters, a v...
Join discussionMar 3 · 5 min read · The dominant narrative used to be simple: larger models, larger context windows, more generality - that path would cover every use case. That assumption is fragmenting. What matters now is not raw capability so much as predictable behavior, cost effi...
Join discussionMar 1 · 6 min read · Post-mortem: when the demo dazzles and the ship sinks. A team launches after a week of heady benchmarks and a demo that "blew stakeholders away." In production, latency spikes, hallucinations creep in, and the support queue fills with edge-cas...
Join discussionFeb 28 · 6 min read · As a Principal Systems Engineer charged with integrating large language systems into production, the most useful question is rarely "what does this model do?" and instead becomes "how does this model interact with the rest of the stack under realisti...
Join discussionFeb 24 · 5 min read · I used to juggle a half-dozen model endpoints and a pile of quick scripts to cobble together answers for product demos. It worked-fast drafts, flashy demos-but every time a bug crept in or hallucinations appeared, I spent more time tracing which chec...
Join discussionFeb 17 · 6 min read · The reliability gap that breaks production prompts When the same prompt produces three useful but different answers across models, teams stop trusting automation. This mismatch isn't just cosmetic: it forces manual review, bloats costs, an...
Join discussionFeb 9 · 5 min read · A year ago I was bouncing between tools the way some developers jump between editors - each new release promised better results and I felt obliged to try them. I started with something that gave me raw speed and blunt accuracy, loved its simplicity, ...
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