Nine ways an LLM fails once it reaches production
Production LLM failures usually come from the system around the model: truncation, retries, schema drift, monitoring gaps and weak evaluation.
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Category: Engineering
How we actually build things: architecture decisions, the trade-offs behind them, and what we would do differently the second time around.
Your peak hour is a specification, not a hope
Peak capacity has to be agreed, tested to failure, and designed around before the campaign, because the busiest minute breaks systems.
ReadReconciliation is the only feature that matters on your worst day
Payment systems earn trust when they can prove the ledger matches the outside world, especially when retries, timing gaps and partial batches hit.
ReadClinicians route around slow software, and that is a safety problem
Slow clinical software pushes staff into workarounds, breaking live records, timestamps and audit trails when safety questions arise.
ReadWhat building escrow taught us about state machines
Escrow showed us why money workflows need explicit states, recorded transitions and repeat-safe requests.
ReadA prompt is not a product
BotUp sells named AI jobs with clear terms, sources and refund terms, so buyers can judge the work instead of judging their prompts.
ReadWhy we built a freelance marketplace that takes no commission
Freelance marketplaces charge between five and twenty percent. Open Lance uses escrow and optional paid tiers instead of taking commission.
ReadSaaS vs. Custom Software: Which Fits Your Business?
Buy what does not make you different. Build the workflow that does, and make the boundary explicit before an incident exposes it.
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