Push data contracts upstream so APIs don’t drift. Biggest risk is invisible complexity creeping in. Keep the system operable by the smallest competent team.

Tighten feedback loops with weekly reviews. Shadow‑run the new stack for a week before go‑live. Process tip that prevented a week of rework.

Run a pre-mortem; it surfaces surprises early. Document assumptions so new teammates move faster. Process tip that prevented a week of rework.

Optimize observability before model tuning. Latency budgets forced us to drop nice-to-haves. Adding a datapoint from a Series A fintech I advised.

Set crisp ownership so decisions don’t stall. Bias toward tools the team can actually operate. Process tip that prevented a week of rework.

Optimize observability before model tuning. I’d approach this a bit differently than most tutorials suggest. Legal sign-off took three weeks; budget that into your plan.

Use feature flags generously for safe tests. Process tip that prevented a week of rework. Negotiate support SLAs; they beat shiny features in crunch time.

Use feature flags generously for safe tests. Process tip that prevented a week of rework. Tighten feedback loops with weekly reviews.

Small anecdote that might help. A thin rules layer filtered 80% of noisy alerts. Ensure sandbox parity to avoid release‑day surprises.

Speaking as the person who owned this at a neobank. Automate sticky edge cases to save analyst time. The real cost driver was reprocessing, not inference.

Ignore shiny features until you validate ROI. Negotiate support SLAs; they beat shiny features in crunch time. Counterpoint based on what stuck in reality.

Small anecdote that might help. We hit rate limits on day three; lightweight caching saved us. Train support to recognize false positives quickly.

Biggest risk is invisible complexity creeping in. Keep the system operable by the smallest competent team. Ensure sandbox parity to avoid release‑day surprises.