Ccontactinpykero.hashnode.dev·Sep 1 · 6 min readWhy Fewer Tools Make a Better AI AgentGive an AI agent ten tools and you usually get worse output, not more capability. Every tool you add is another place the model can pick wrong, pass bad arguments, or silently do the wrong thing while00
Ccontactinpykero.hashnode.dev·Aug 31 · 6 min readWhy Your AI Feature Needs Deterministic Guardrails, Not a Smarter ModelLLMs are probabilistic, so trying to make one output consistently is a losing battle. The fix isn't a bigger model or a longer prompt: it's a deterministic layer of rules sitting between the model and00
Ccontactinpykero.hashnode.dev·Aug 27 · 6 min readHow to Detect an AI Agent Scheduled Run That Silently FailedA scheduled AI agent that never fires looks, from the outside, exactly like one that ran and did nothing wrong. Nobody gets an error email. Nothing shows up in your exception tracker. The only signal 00
Ccontactinpykero.hashnode.dev·Aug 25 · 5 min readHow to Calculate ROI on an AI Agent Before You Build ItCalculate ROI by comparing what the manual process actually costs today (fully-loaded labor, error correction, missed volume) against the one-time build cost plus ongoing per-run inference cost, then 00
Ccontactinpykero.hashnode.dev·Aug 23 · 6 min readLLM Router vs Direct API: What Founders Should WeighUse an LLM router when you're still testing which model fits your product, need multi-model flexibility, or want automatic failover without building it yourself. Go direct to the provider API once you10
