
AI Agent Reliability Checklist Before Production Launch
A practical pre-launch checklist for AI agents so teams stop shipping demos as production systems.
SHORT READS ARCHIVE
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A practical pre-launch checklist for AI agents so teams stop shipping demos as production systems.

A decision guide for founders choosing between fractional CTO support and a full-time CTO hire.

A practical checklist to get Enhanced Session Mode working on Fedora in Hyper-V without wasting an afternoon.

A decision framework for when to use a full Fedora VM in Hyper-V versus WSL for day-to-day development work.

A practical framework for deciding when retrieval beats fine-tuning and when model adaptation is worth the cost.

A quick checklist to debug broken WebRTC negotiation when offer/answer exchange looks correct but media never stabilizes.

A production-first explanation of when STUN is enough and when TURN capacity planning becomes non-negotiable.

How to choose WebRTC or WebSocket based on latency, media requirements, and transport constraints.

A plain-English model of signaling, ICE, and media transport so WebRTC architecture finally clicks.

A triage flow for fixing the classic black-screen problem when connecting to Fedora through xrdp in Hyper-V.

A practical roadmap template that ties AI bets to unit economics, risk controls, and measurable outcomes.

A fast due-diligence checklist to surface architecture, delivery, and team risks before they become expensive surprises.

A practical framework for deciding whether your stage needs a CTO, a CPTO, or a phased hybrid approach.

A practical checklist to identify where shadow AI is already running and bring it under accountable governance.

A simple capacity model for estimating how large context windows impact throughput, latency, and budget.

A practical way to prioritize reliability metrics over headline accuracy when operating AI systems in production.

A practical status-code decision sheet that keeps API behavior predictable for clients and operators.

A quick selection guide for token bucket, fixed window, and sliding window limits based on real traffic behavior.

A practical guide to deciding when a personal site needs a cookie policy and when a simple disclosure is enough.

A fast checklist for evaluating subprocessor risk in AI vendor stacks before signing contracts.