Why Fewer Tools Make a Better AI AgentGiving an AI agent ten tools often makes it worse, not smarter. Here is how to scope tool access so agents stay fast, cheap, and easy to debug.6 min read·pykero.hashnode.devSep 1
Why Your AI Feature Needs Deterministic Guardrails, Not a Smarter ModelLLM output is probabilistic by nature. Here's why production AI features need deterministic pass/fail rules around the model, not a bigger model, to ship reliab6 min read·pykero.hashnode.devAug 31
How to Detect an AI Agent Scheduled Run That Silently FailedScheduled AI agents can stop running without throwing a single error. Here's how to catch missed runs with heartbeat monitoring before a customer does.6 min read·pykero.hashnode.devAug 27
How to Calculate ROI on an AI Agent Before You Build ItA practical framework founders can use to estimate AI agent ROI before committing budget: baseline costs, build costs, break-even timing, and guardrails.5 min read·pykero.hashnode.devAug 25
LLM Router vs Direct API: What Founders Should WeighShould your product call an LLM aggregator like OpenRouter or go straight to the provider API? A cost, control, and lock-in framework for founders.6 min read·pykero.hashnode.dev11DAug 23
